iVOD / 16096

Field Value
IVOD_ID 16096
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16096
日期 2024-07-11
會議資料.會議代碼 黨團協商-2024071095
會議資料.會議代碼:str 立法院朝野黨團協商
會議資料.屆 11
會議資料.會期 1
會議資料.種類 黨團協商
會議資料.委員會代碼[0] 22
會議資料.委員會代碼:str[0] 教育及文化委員會
會議資料.標題 立法院朝野黨團協商
影片種類 Full
開始時間 2024-07-11T13:30:20+08:00
結束時間 2024-07-11T16:20:00+08:00
影片長度 02:49:40
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/3832c314c43c373dc95e053c453ffb768db79021df942dcf28aaa308df9ea373ae2be62129b777c25ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-07-11T14:00:00+08:00
會議名稱 立法院朝野黨團協商(事由:本院教育及文化委員會報告併案審查委員范雲等17人擬具「學生輔導法部分條文修正草案」、委員林宜瑾等22人擬具「學生輔導法部分條文修正草案」、委員張雅琳等19人擬具「學生輔導法部分條文修正草案」、委員李柏毅等18人擬具「學生輔導法第十一條條文修正草案」、委員黃秀芳等18人擬具「學生輔導法部分條文修正草案」、委員許智傑等25人擬具「學生輔導法第四條及第七條條文修正草案」、委員許智傑等26人擬具「學生輔導法第十一條條文修正草案」、委員柯志恩等18人擬具「學生輔導法部分條文修正草案」、委員陳培瑜等18人擬具「學生輔導法第十一條條文修正草案」、委員陳培瑜等18人擬具「學生輔導法部分條文修正草案」、委員洪孟楷等22人擬具「學生輔導法第十一條條文修正草案」、委員陳秀寳等20人擬具「學生輔導法部分條文修正草案」、委員郭昱晴等19人擬具「學生輔導法第十一條條文修正草案」、委員郭國文等19人擬具「學生輔導法部分條文修正草案」、委員郭國文等19人擬具「學生輔導法第十一條條文修正草案」、委員葛如鈞等16人擬具「學生輔導法部分條文修正草案」、台灣民眾黨黨團擬具「學生輔導法第十一條條文修正草案」、委員吳沛憶等16人擬具「學生輔導法第十一條條文修正草案」、委員王育敏等20人擬具「學生輔導法第十一條條文修正草案」、委員萬美玲等19人擬具「學生輔導法第十一條條文修正草案」、委員羅智強等16人擬具「學生輔導法部分條文修正草案」、委員陳亭妃等19人擬具「學生輔導法第五條及第七條條文修正草案」、委員馬文君等24人擬具「學生輔導法第五條條文修正草案」、委員莊瑞雄等16人、委員陳菁徽等20人分別擬具「學生輔導法第十一條條文修正草案」、委員林月琴等19人擬具「學生輔導法部分條文修正草案」、委員萬美玲等17人擬具「學生輔導法部分條文修正草案」、委員林俊憲等18人擬具「學生輔導法第十一條及第十一條之一條文修正草案」、委員羅廷瑋等19人擬具「學生輔導法部分條文修正草案」、委員廖偉翔等16人擬具「學生輔導法部分條文修正草案」案。)
委員名稱 完整會議
委員發言時間 13:30:20 - 16:20:00
transcript.pyannote[0].speaker SPEAKER_15
transcript.pyannote[0].start 62.95784375
transcript.pyannote[0].end 63.98721875
transcript.pyannote[1].speaker SPEAKER_18
transcript.pyannote[1].start 2739.09659375
transcript.pyannote[1].end 2741.03721875
transcript.pyannote[2].speaker SPEAKER_16
transcript.pyannote[2].start 2743.53471875
transcript.pyannote[2].end 2745.67784375
transcript.pyannote[3].speaker SPEAKER_17
transcript.pyannote[3].start 2746.30221875
transcript.pyannote[3].end 2747.06159375
transcript.pyannote[4].speaker SPEAKER_16
transcript.pyannote[4].start 2747.06159375
transcript.pyannote[4].end 2747.11221875
transcript.pyannote[5].speaker SPEAKER_16
transcript.pyannote[5].start 2747.26409375
transcript.pyannote[5].end 2753.99721875
transcript.pyannote[6].speaker SPEAKER_17
transcript.pyannote[6].start 2755.54971875
transcript.pyannote[6].end 2787.08909375
transcript.pyannote[7].speaker SPEAKER_17
transcript.pyannote[7].start 2788.82721875
transcript.pyannote[7].end 2807.99721875
transcript.pyannote[8].speaker SPEAKER_17
transcript.pyannote[8].start 2808.70596875
transcript.pyannote[8].end 2811.20346875
transcript.pyannote[9].speaker SPEAKER_17
transcript.pyannote[9].start 2811.74346875
transcript.pyannote[9].end 2818.79721875
transcript.pyannote[10].speaker SPEAKER_17
transcript.pyannote[10].start 2820.45096875
transcript.pyannote[10].end 2822.34096875
transcript.pyannote[11].speaker SPEAKER_17
transcript.pyannote[11].start 2824.73721875
transcript.pyannote[11].end 2829.51284375
transcript.pyannote[12].speaker SPEAKER_17
transcript.pyannote[12].start 2830.05284375
transcript.pyannote[12].end 2858.52096875
transcript.pyannote[13].speaker SPEAKER_17
transcript.pyannote[13].start 2859.88784375
transcript.pyannote[13].end 2866.87409375
transcript.pyannote[14].speaker SPEAKER_17
transcript.pyannote[14].start 2867.22846875
transcript.pyannote[14].end 2896.06784375
transcript.pyannote[15].speaker SPEAKER_17
transcript.pyannote[15].start 2896.45596875
transcript.pyannote[15].end 2898.56534375
transcript.pyannote[16].speaker SPEAKER_17
transcript.pyannote[16].start 2900.21909375
transcript.pyannote[16].end 2901.48471875
transcript.pyannote[17].speaker SPEAKER_17
transcript.pyannote[17].start 2902.48034375
transcript.pyannote[17].end 2904.48846875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 2906.20971875
transcript.pyannote[18].end 2976.22409375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 2976.54471875
transcript.pyannote[19].end 2978.33346875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 2978.75534375
transcript.pyannote[20].end 2979.31221875
transcript.pyannote[21].speaker SPEAKER_17
transcript.pyannote[21].start 2979.31221875
transcript.pyannote[21].end 3000.77721875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 2979.36284375
transcript.pyannote[22].end 2979.75096875
transcript.pyannote[23].speaker SPEAKER_17
transcript.pyannote[23].start 3000.96284375
transcript.pyannote[23].end 3001.57034375
transcript.pyannote[24].speaker SPEAKER_17
transcript.pyannote[24].start 3002.12721875
transcript.pyannote[24].end 3004.03409375
transcript.pyannote[25].speaker SPEAKER_14
transcript.pyannote[25].start 3004.37159375
transcript.pyannote[25].end 3059.29971875
transcript.pyannote[26].speaker SPEAKER_17
transcript.pyannote[26].start 3061.37534375
transcript.pyannote[26].end 3067.46721875
transcript.pyannote[27].speaker SPEAKER_17
transcript.pyannote[27].start 3067.50096875
transcript.pyannote[27].end 3067.97346875
transcript.pyannote[28].speaker SPEAKER_20
transcript.pyannote[28].start 3067.97346875
transcript.pyannote[28].end 3103.68096875
transcript.pyannote[29].speaker SPEAKER_20
transcript.pyannote[29].start 3104.05221875
transcript.pyannote[29].end 3108.06846875
transcript.pyannote[30].speaker SPEAKER_20
transcript.pyannote[30].start 3109.67159375
transcript.pyannote[30].end 3148.04534375
transcript.pyannote[31].speaker SPEAKER_17
transcript.pyannote[31].start 3148.04534375
transcript.pyannote[31].end 3148.06221875
transcript.pyannote[32].speaker SPEAKER_17
transcript.pyannote[32].start 3149.74971875
transcript.pyannote[32].end 3151.30221875
transcript.pyannote[33].speaker SPEAKER_17
transcript.pyannote[33].start 3152.43284375
transcript.pyannote[33].end 3169.15596875
transcript.pyannote[34].speaker SPEAKER_17
transcript.pyannote[34].start 3169.57784375
transcript.pyannote[34].end 3192.27471875
transcript.pyannote[35].speaker SPEAKER_17
transcript.pyannote[35].start 3192.93284375
transcript.pyannote[35].end 3206.06159375
transcript.pyannote[36].speaker SPEAKER_05
transcript.pyannote[36].start 3203.05784375
transcript.pyannote[36].end 3203.42909375
transcript.pyannote[37].speaker SPEAKER_05
transcript.pyannote[37].start 3205.65659375
transcript.pyannote[37].end 3226.63221875
transcript.pyannote[38].speaker SPEAKER_13
transcript.pyannote[38].start 3229.72034375
transcript.pyannote[38].end 3238.19159375
transcript.pyannote[39].speaker SPEAKER_13
transcript.pyannote[39].start 3238.51221875
transcript.pyannote[39].end 3332.70846875
transcript.pyannote[40].speaker SPEAKER_17
transcript.pyannote[40].start 3333.24846875
transcript.pyannote[40].end 3334.19346875
transcript.pyannote[41].speaker SPEAKER_17
transcript.pyannote[41].start 3335.03721875
transcript.pyannote[41].end 3335.96534375
transcript.pyannote[42].speaker SPEAKER_19
transcript.pyannote[42].start 3338.51346875
transcript.pyannote[42].end 3348.72284375
transcript.pyannote[43].speaker SPEAKER_19
transcript.pyannote[43].start 3348.79034375
transcript.pyannote[43].end 3447.00284375
transcript.pyannote[44].speaker SPEAKER_17
transcript.pyannote[44].start 3447.84659375
transcript.pyannote[44].end 3447.86346875
transcript.pyannote[45].speaker SPEAKER_19
transcript.pyannote[45].start 3447.86346875
transcript.pyannote[45].end 3448.18409375
transcript.pyannote[46].speaker SPEAKER_17
transcript.pyannote[46].start 3448.18409375
transcript.pyannote[46].end 3448.21784375
transcript.pyannote[47].speaker SPEAKER_19
transcript.pyannote[47].start 3448.21784375
transcript.pyannote[47].end 3448.65659375
transcript.pyannote[48].speaker SPEAKER_19
transcript.pyannote[48].start 3449.38221875
transcript.pyannote[48].end 3450.25971875
transcript.pyannote[49].speaker SPEAKER_06
transcript.pyannote[49].start 3455.05221875
transcript.pyannote[49].end 3521.26971875
transcript.pyannote[50].speaker SPEAKER_06
transcript.pyannote[50].start 3521.74221875
transcript.pyannote[50].end 3525.01596875
transcript.pyannote[51].speaker SPEAKER_17
transcript.pyannote[51].start 3528.57659375
transcript.pyannote[51].end 3552.10034375
transcript.pyannote[52].speaker SPEAKER_17
transcript.pyannote[52].start 3553.75409375
transcript.pyannote[52].end 3556.80846875
transcript.pyannote[53].speaker SPEAKER_17
transcript.pyannote[53].start 3557.48346875
transcript.pyannote[53].end 3565.49909375
transcript.pyannote[54].speaker SPEAKER_17
transcript.pyannote[54].start 3566.27534375
transcript.pyannote[54].end 3625.27034375
transcript.pyannote[55].speaker SPEAKER_17
transcript.pyannote[55].start 3631.68284375
transcript.pyannote[55].end 3682.74659375
transcript.pyannote[56].speaker SPEAKER_17
transcript.pyannote[56].start 3683.35409375
transcript.pyannote[56].end 3693.34409375
transcript.pyannote[57].speaker SPEAKER_17
transcript.pyannote[57].start 3693.56346875
transcript.pyannote[57].end 3697.00596875
transcript.pyannote[58].speaker SPEAKER_17
transcript.pyannote[58].start 3701.15721875
transcript.pyannote[58].end 3701.89971875
transcript.pyannote[59].speaker SPEAKER_13
transcript.pyannote[59].start 3702.05159375
transcript.pyannote[59].end 3702.33846875
transcript.pyannote[60].speaker SPEAKER_13
transcript.pyannote[60].start 3703.30034375
transcript.pyannote[60].end 3708.29534375
transcript.pyannote[61].speaker SPEAKER_17
transcript.pyannote[61].start 3709.05471875
transcript.pyannote[61].end 3709.71284375
transcript.pyannote[62].speaker SPEAKER_17
transcript.pyannote[62].start 3710.35409375
transcript.pyannote[62].end 3731.11034375
transcript.pyannote[63].speaker SPEAKER_13
transcript.pyannote[63].start 3710.55659375
transcript.pyannote[63].end 3710.84346875
transcript.pyannote[64].speaker SPEAKER_15
transcript.pyannote[64].start 3710.84346875
transcript.pyannote[64].end 3710.86034375
transcript.pyannote[65].speaker SPEAKER_13
transcript.pyannote[65].start 3710.86034375
transcript.pyannote[65].end 3710.89409375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 3728.29221875
transcript.pyannote[66].end 3728.49471875
transcript.pyannote[67].speaker SPEAKER_17
transcript.pyannote[67].start 3731.71784375
transcript.pyannote[67].end 3736.30784375
transcript.pyannote[68].speaker SPEAKER_17
transcript.pyannote[68].start 3737.74221875
transcript.pyannote[68].end 3738.70409375
transcript.pyannote[69].speaker SPEAKER_17
transcript.pyannote[69].start 3740.50971875
transcript.pyannote[69].end 3741.48846875
transcript.pyannote[70].speaker SPEAKER_17
transcript.pyannote[70].start 3742.07909375
transcript.pyannote[70].end 3753.21659375
transcript.pyannote[71].speaker SPEAKER_17
transcript.pyannote[71].start 3761.19846875
transcript.pyannote[71].end 3762.90284375
transcript.pyannote[72].speaker SPEAKER_17
transcript.pyannote[72].start 3764.42159375
transcript.pyannote[72].end 3765.61971875
transcript.pyannote[73].speaker SPEAKER_06
transcript.pyannote[73].start 3765.61971875
transcript.pyannote[73].end 3765.77159375
transcript.pyannote[74].speaker SPEAKER_17
transcript.pyannote[74].start 3765.77159375
transcript.pyannote[74].end 3765.97409375
transcript.pyannote[75].speaker SPEAKER_06
transcript.pyannote[75].start 3765.97409375
transcript.pyannote[75].end 3792.13034375
transcript.pyannote[76].speaker SPEAKER_07
transcript.pyannote[76].start 3792.29909375
transcript.pyannote[76].end 3797.09159375
transcript.pyannote[77].speaker SPEAKER_17
transcript.pyannote[77].start 3797.09159375
transcript.pyannote[77].end 3806.47409375
transcript.pyannote[78].speaker SPEAKER_15
transcript.pyannote[78].start 3799.31909375
transcript.pyannote[78].end 3799.33596875
transcript.pyannote[79].speaker SPEAKER_07
transcript.pyannote[79].start 3799.33596875
transcript.pyannote[79].end 3801.64784375
transcript.pyannote[80].speaker SPEAKER_07
transcript.pyannote[80].start 3804.07784375
transcript.pyannote[80].end 3807.28409375
transcript.pyannote[81].speaker SPEAKER_07
transcript.pyannote[81].start 3808.12784375
transcript.pyannote[81].end 3809.64659375
transcript.pyannote[82].speaker SPEAKER_07
transcript.pyannote[82].start 3809.96721875
transcript.pyannote[82].end 3810.05159375
transcript.pyannote[83].speaker SPEAKER_19
transcript.pyannote[83].start 3810.05159375
transcript.pyannote[83].end 3810.43971875
transcript.pyannote[84].speaker SPEAKER_15
transcript.pyannote[84].start 3810.43971875
transcript.pyannote[84].end 3810.49034375
transcript.pyannote[85].speaker SPEAKER_19
transcript.pyannote[85].start 3810.49034375
transcript.pyannote[85].end 3810.67596875
transcript.pyannote[86].speaker SPEAKER_07
transcript.pyannote[86].start 3810.67596875
transcript.pyannote[86].end 3810.74346875
transcript.pyannote[87].speaker SPEAKER_15
transcript.pyannote[87].start 3810.74346875
transcript.pyannote[87].end 3810.77721875
transcript.pyannote[88].speaker SPEAKER_07
transcript.pyannote[88].start 3810.77721875
transcript.pyannote[88].end 3813.05534375
transcript.pyannote[89].speaker SPEAKER_17
transcript.pyannote[89].start 3810.81096875
transcript.pyannote[89].end 3811.70534375
transcript.pyannote[90].speaker SPEAKER_17
transcript.pyannote[90].start 3812.14409375
transcript.pyannote[90].end 3827.09534375
transcript.pyannote[91].speaker SPEAKER_07
transcript.pyannote[91].start 3813.51096875
transcript.pyannote[91].end 3814.16909375
transcript.pyannote[92].speaker SPEAKER_07
transcript.pyannote[92].start 3815.48534375
transcript.pyannote[92].end 3815.97471875
transcript.pyannote[93].speaker SPEAKER_15
transcript.pyannote[93].start 3823.53471875
transcript.pyannote[93].end 3823.63596875
transcript.pyannote[94].speaker SPEAKER_06
transcript.pyannote[94].start 3827.75346875
transcript.pyannote[94].end 3923.63721875
transcript.pyannote[95].speaker SPEAKER_17
transcript.pyannote[95].start 3923.63721875
transcript.pyannote[95].end 3941.45721875
transcript.pyannote[96].speaker SPEAKER_17
transcript.pyannote[96].start 3942.23346875
transcript.pyannote[96].end 3943.07721875
transcript.pyannote[97].speaker SPEAKER_07
transcript.pyannote[97].start 3945.77721875
transcript.pyannote[97].end 3961.43721875
transcript.pyannote[98].speaker SPEAKER_07
transcript.pyannote[98].start 3961.87596875
transcript.pyannote[98].end 3982.51409375
transcript.pyannote[99].speaker SPEAKER_07
transcript.pyannote[99].start 3982.96971875
transcript.pyannote[99].end 4020.46596875
transcript.pyannote[100].speaker SPEAKER_07
transcript.pyannote[100].start 4021.39409375
transcript.pyannote[100].end 4052.19096875
transcript.pyannote[101].speaker SPEAKER_17
transcript.pyannote[101].start 4053.05159375
transcript.pyannote[101].end 4064.13846875
transcript.pyannote[102].speaker SPEAKER_17
transcript.pyannote[102].start 4065.15096875
transcript.pyannote[102].end 4067.98596875
transcript.pyannote[103].speaker SPEAKER_17
transcript.pyannote[103].start 4068.81284375
transcript.pyannote[103].end 4084.40534375
transcript.pyannote[104].speaker SPEAKER_15
transcript.pyannote[104].start 4084.57409375
transcript.pyannote[104].end 4085.92409375
transcript.pyannote[105].speaker SPEAKER_07
transcript.pyannote[105].start 4085.92409375
transcript.pyannote[105].end 4086.12659375
transcript.pyannote[106].speaker SPEAKER_15
transcript.pyannote[106].start 4086.12659375
transcript.pyannote[106].end 4086.19409375
transcript.pyannote[107].speaker SPEAKER_07
transcript.pyannote[107].start 4086.19409375
transcript.pyannote[107].end 4086.54846875
transcript.pyannote[108].speaker SPEAKER_17
transcript.pyannote[108].start 4086.71721875
transcript.pyannote[108].end 4088.87721875
transcript.pyannote[109].speaker SPEAKER_07
transcript.pyannote[109].start 4088.87721875
transcript.pyannote[109].end 4098.54659375
transcript.pyannote[110].speaker SPEAKER_17
transcript.pyannote[110].start 4098.54659375
transcript.pyannote[110].end 4102.51221875
transcript.pyannote[111].speaker SPEAKER_17
transcript.pyannote[111].start 4103.20409375
transcript.pyannote[111].end 4108.72221875
transcript.pyannote[112].speaker SPEAKER_17
transcript.pyannote[112].start 4109.58284375
transcript.pyannote[112].end 4110.40971875
transcript.pyannote[113].speaker SPEAKER_17
transcript.pyannote[113].start 4116.95721875
transcript.pyannote[113].end 4136.43096875
transcript.pyannote[114].speaker SPEAKER_17
transcript.pyannote[114].start 4137.57846875
transcript.pyannote[114].end 4140.93659375
transcript.pyannote[115].speaker SPEAKER_17
transcript.pyannote[115].start 4142.72534375
transcript.pyannote[115].end 4144.31159375
transcript.pyannote[116].speaker SPEAKER_17
transcript.pyannote[116].start 4145.52659375
transcript.pyannote[116].end 4146.64034375
transcript.pyannote[117].speaker SPEAKER_18
transcript.pyannote[117].start 4155.98909375
transcript.pyannote[117].end 4156.02284375
transcript.pyannote[118].speaker SPEAKER_17
transcript.pyannote[118].start 4156.63034375
transcript.pyannote[118].end 4166.48534375
transcript.pyannote[119].speaker SPEAKER_17
transcript.pyannote[119].start 4166.97471875
transcript.pyannote[119].end 4173.45471875
transcript.pyannote[120].speaker SPEAKER_08
transcript.pyannote[120].start 4183.39409375
transcript.pyannote[120].end 4189.30034375
transcript.pyannote[121].speaker SPEAKER_17
transcript.pyannote[121].start 4191.89909375
transcript.pyannote[121].end 4192.77659375
transcript.pyannote[122].speaker SPEAKER_17
transcript.pyannote[122].start 4194.66659375
transcript.pyannote[122].end 4194.98721875
transcript.pyannote[123].speaker SPEAKER_17
transcript.pyannote[123].start 4195.89846875
transcript.pyannote[123].end 4196.64096875
transcript.pyannote[124].speaker SPEAKER_17
transcript.pyannote[124].start 4197.97409375
transcript.pyannote[124].end 4198.02471875
transcript.pyannote[125].speaker SPEAKER_17
transcript.pyannote[125].start 4198.07534375
transcript.pyannote[125].end 4198.42971875
transcript.pyannote[126].speaker SPEAKER_15
transcript.pyannote[126].start 4201.99034375
transcript.pyannote[126].end 4202.09159375
transcript.pyannote[127].speaker SPEAKER_15
transcript.pyannote[127].start 4202.56409375
transcript.pyannote[127].end 4202.96909375
transcript.pyannote[128].speaker SPEAKER_15
transcript.pyannote[128].start 4203.44159375
transcript.pyannote[128].end 4204.03221875
transcript.pyannote[129].speaker SPEAKER_15
transcript.pyannote[129].start 4204.97721875
transcript.pyannote[129].end 4205.02784375
transcript.pyannote[130].speaker SPEAKER_15
transcript.pyannote[130].start 4206.96846875
transcript.pyannote[130].end 4208.03159375
transcript.pyannote[131].speaker SPEAKER_15
transcript.pyannote[131].start 4208.84159375
transcript.pyannote[131].end 4208.85846875
transcript.pyannote[132].speaker SPEAKER_17
transcript.pyannote[132].start 4208.85846875
transcript.pyannote[132].end 4214.15721875
transcript.pyannote[133].speaker SPEAKER_15
transcript.pyannote[133].start 4208.97659375
transcript.pyannote[133].end 4209.06096875
transcript.pyannote[134].speaker SPEAKER_15
transcript.pyannote[134].start 4210.59659375
transcript.pyannote[134].end 4212.43596875
transcript.pyannote[135].speaker SPEAKER_15
transcript.pyannote[135].start 4212.45284375
transcript.pyannote[135].end 4212.65534375
transcript.pyannote[136].speaker SPEAKER_15
transcript.pyannote[136].start 4212.85784375
transcript.pyannote[136].end 4213.26284375
transcript.pyannote[137].speaker SPEAKER_15
transcript.pyannote[137].start 4214.15721875
transcript.pyannote[137].end 4215.13596875
transcript.pyannote[138].speaker SPEAKER_15
transcript.pyannote[138].start 4215.99659375
transcript.pyannote[138].end 4217.56596875
transcript.pyannote[139].speaker SPEAKER_17
transcript.pyannote[139].start 4220.85659375
transcript.pyannote[139].end 4222.54409375
transcript.pyannote[140].speaker SPEAKER_17
transcript.pyannote[140].start 4224.56909375
transcript.pyannote[140].end 4233.39471875
transcript.pyannote[141].speaker SPEAKER_17
transcript.pyannote[141].start 4233.74909375
transcript.pyannote[141].end 4255.63596875
transcript.pyannote[142].speaker SPEAKER_17
transcript.pyannote[142].start 4256.19284375
transcript.pyannote[142].end 4261.17096875
transcript.pyannote[143].speaker SPEAKER_17
transcript.pyannote[143].start 4262.06534375
transcript.pyannote[143].end 4262.52096875
transcript.pyannote[144].speaker SPEAKER_17
transcript.pyannote[144].start 4262.95971875
transcript.pyannote[144].end 4263.48284375
transcript.pyannote[145].speaker SPEAKER_17
transcript.pyannote[145].start 4266.04784375
transcript.pyannote[145].end 4268.89971875
transcript.pyannote[146].speaker SPEAKER_17
transcript.pyannote[146].start 4269.13596875
transcript.pyannote[146].end 4269.52409375
transcript.pyannote[147].speaker SPEAKER_17
transcript.pyannote[147].start 4270.45221875
transcript.pyannote[147].end 4272.03846875
transcript.pyannote[148].speaker SPEAKER_17
transcript.pyannote[148].start 4273.62471875
transcript.pyannote[148].end 4274.13096875
transcript.pyannote[149].speaker SPEAKER_17
transcript.pyannote[149].start 4274.18159375
transcript.pyannote[149].end 4278.83909375
transcript.pyannote[150].speaker SPEAKER_17
transcript.pyannote[150].start 4279.53096875
transcript.pyannote[150].end 4296.76034375
transcript.pyannote[151].speaker SPEAKER_17
transcript.pyannote[151].start 4299.47721875
transcript.pyannote[151].end 4303.10534375
transcript.pyannote[152].speaker SPEAKER_17
transcript.pyannote[152].start 4304.06721875
transcript.pyannote[152].end 4305.94034375
transcript.pyannote[153].speaker SPEAKER_17
transcript.pyannote[153].start 4306.73346875
transcript.pyannote[153].end 4308.70784375
transcript.pyannote[154].speaker SPEAKER_17
transcript.pyannote[154].start 4309.29846875
transcript.pyannote[154].end 4326.59534375
transcript.pyannote[155].speaker SPEAKER_17
transcript.pyannote[155].start 4326.94971875
transcript.pyannote[155].end 4328.13096875
transcript.pyannote[156].speaker SPEAKER_17
transcript.pyannote[156].start 4328.55284375
transcript.pyannote[156].end 4329.51471875
transcript.pyannote[157].speaker SPEAKER_17
transcript.pyannote[157].start 4331.94471875
transcript.pyannote[157].end 4333.42971875
transcript.pyannote[158].speaker SPEAKER_17
transcript.pyannote[158].start 4336.45034375
transcript.pyannote[158].end 4337.51346875
transcript.pyannote[159].speaker SPEAKER_16
transcript.pyannote[159].start 4337.09159375
transcript.pyannote[159].end 4337.29409375
transcript.pyannote[160].speaker SPEAKER_16
transcript.pyannote[160].start 4337.51346875
transcript.pyannote[160].end 4337.68221875
transcript.pyannote[161].speaker SPEAKER_16
transcript.pyannote[161].start 4337.96909375
transcript.pyannote[161].end 4338.69471875
transcript.pyannote[162].speaker SPEAKER_16
transcript.pyannote[162].start 4341.96846875
transcript.pyannote[162].end 4342.05284375
transcript.pyannote[163].speaker SPEAKER_16
transcript.pyannote[163].start 4342.35659375
transcript.pyannote[163].end 4342.74471875
transcript.pyannote[164].speaker SPEAKER_15
transcript.pyannote[164].start 4342.74471875
transcript.pyannote[164].end 4345.24221875
transcript.pyannote[165].speaker SPEAKER_11
transcript.pyannote[165].start 4345.24221875
transcript.pyannote[165].end 4345.69784375
transcript.pyannote[166].speaker SPEAKER_12
transcript.pyannote[166].start 4346.76096875
transcript.pyannote[166].end 4490.75534375
transcript.pyannote[167].speaker SPEAKER_17
transcript.pyannote[167].start 4367.61846875
transcript.pyannote[167].end 4372.24221875
transcript.pyannote[168].speaker SPEAKER_17
transcript.pyannote[168].start 4490.75534375
transcript.pyannote[168].end 4595.31284375
transcript.pyannote[169].speaker SPEAKER_12
transcript.pyannote[169].start 4593.92909375
transcript.pyannote[169].end 4594.08096875
transcript.pyannote[170].speaker SPEAKER_12
transcript.pyannote[170].start 4595.31284375
transcript.pyannote[170].end 4626.31221875
transcript.pyannote[171].speaker SPEAKER_17
transcript.pyannote[171].start 4624.28721875
transcript.pyannote[171].end 4661.80034375
transcript.pyannote[172].speaker SPEAKER_17
transcript.pyannote[172].start 4662.89721875
transcript.pyannote[172].end 4667.63909375
transcript.pyannote[173].speaker SPEAKER_17
transcript.pyannote[173].start 4668.16221875
transcript.pyannote[173].end 4669.03971875
transcript.pyannote[174].speaker SPEAKER_17
transcript.pyannote[174].start 4669.39409375
transcript.pyannote[174].end 4670.92971875
transcript.pyannote[175].speaker SPEAKER_13
transcript.pyannote[175].start 4673.59596875
transcript.pyannote[175].end 4676.68409375
transcript.pyannote[176].speaker SPEAKER_17
transcript.pyannote[176].start 4680.71721875
transcript.pyannote[176].end 4682.87721875
transcript.pyannote[177].speaker SPEAKER_17
transcript.pyannote[177].start 4682.97846875
transcript.pyannote[177].end 4691.16284375
transcript.pyannote[178].speaker SPEAKER_17
transcript.pyannote[178].start 4692.78284375
transcript.pyannote[178].end 4694.43659375
transcript.pyannote[179].speaker SPEAKER_17
transcript.pyannote[179].start 4697.81159375
transcript.pyannote[179].end 4700.22471875
transcript.pyannote[180].speaker SPEAKER_07
transcript.pyannote[180].start 4701.89534375
transcript.pyannote[180].end 4706.92409375
transcript.pyannote[181].speaker SPEAKER_16
transcript.pyannote[181].start 4706.97471875
transcript.pyannote[181].end 4706.99159375
transcript.pyannote[182].speaker SPEAKER_17
transcript.pyannote[182].start 4706.99159375
transcript.pyannote[182].end 4707.81846875
transcript.pyannote[183].speaker SPEAKER_07
transcript.pyannote[183].start 4707.81846875
transcript.pyannote[183].end 4709.48909375
transcript.pyannote[184].speaker SPEAKER_17
transcript.pyannote[184].start 4709.48909375
transcript.pyannote[184].end 4713.60659375
transcript.pyannote[185].speaker SPEAKER_08
transcript.pyannote[185].start 4713.35346875
transcript.pyannote[185].end 4714.97346875
transcript.pyannote[186].speaker SPEAKER_17
transcript.pyannote[186].start 4714.97346875
transcript.pyannote[186].end 4720.86284375
transcript.pyannote[187].speaker SPEAKER_17
transcript.pyannote[187].start 4721.13284375
transcript.pyannote[187].end 4725.28409375
transcript.pyannote[188].speaker SPEAKER_07
transcript.pyannote[188].start 4725.48659375
transcript.pyannote[188].end 4730.46471875
transcript.pyannote[189].speaker SPEAKER_17
transcript.pyannote[189].start 4728.22034375
transcript.pyannote[189].end 4729.31721875
transcript.pyannote[190].speaker SPEAKER_17
transcript.pyannote[190].start 4730.46471875
transcript.pyannote[190].end 4733.85659375
transcript.pyannote[191].speaker SPEAKER_17
transcript.pyannote[191].start 4734.51471875
transcript.pyannote[191].end 4747.86284375
transcript.pyannote[192].speaker SPEAKER_08
transcript.pyannote[192].start 4747.67721875
transcript.pyannote[192].end 4747.82909375
transcript.pyannote[193].speaker SPEAKER_08
transcript.pyannote[193].start 4747.86284375
transcript.pyannote[193].end 4752.92534375
transcript.pyannote[194].speaker SPEAKER_08
transcript.pyannote[194].start 4752.95909375
transcript.pyannote[194].end 4753.02659375
transcript.pyannote[195].speaker SPEAKER_06
transcript.pyannote[195].start 4753.06034375
transcript.pyannote[195].end 4754.95034375
transcript.pyannote[196].speaker SPEAKER_08
transcript.pyannote[196].start 4754.95034375
transcript.pyannote[196].end 4757.44784375
transcript.pyannote[197].speaker SPEAKER_08
transcript.pyannote[197].start 4758.08909375
transcript.pyannote[197].end 4761.29534375
transcript.pyannote[198].speaker SPEAKER_17
transcript.pyannote[198].start 4761.88596875
transcript.pyannote[198].end 4776.31409375
transcript.pyannote[199].speaker SPEAKER_17
transcript.pyannote[199].start 4778.91284375
transcript.pyannote[199].end 4781.42721875
transcript.pyannote[200].speaker SPEAKER_09
transcript.pyannote[200].start 4781.17409375
transcript.pyannote[200].end 4782.82784375
transcript.pyannote[201].speaker SPEAKER_16
transcript.pyannote[201].start 4782.03471875
transcript.pyannote[201].end 4782.72659375
transcript.pyannote[202].speaker SPEAKER_17
transcript.pyannote[202].start 4782.72659375
transcript.pyannote[202].end 4783.51971875
transcript.pyannote[203].speaker SPEAKER_16
transcript.pyannote[203].start 4782.82784375
transcript.pyannote[203].end 4782.91221875
transcript.pyannote[204].speaker SPEAKER_09
transcript.pyannote[204].start 4782.91221875
transcript.pyannote[204].end 4782.96284375
transcript.pyannote[205].speaker SPEAKER_16
transcript.pyannote[205].start 4782.96284375
transcript.pyannote[205].end 4791.72096875
transcript.pyannote[206].speaker SPEAKER_08
transcript.pyannote[206].start 4786.03409375
transcript.pyannote[206].end 4786.20284375
transcript.pyannote[207].speaker SPEAKER_08
transcript.pyannote[207].start 4786.96221875
transcript.pyannote[207].end 4787.01284375
transcript.pyannote[208].speaker SPEAKER_16
transcript.pyannote[208].start 4791.97409375
transcript.pyannote[208].end 4792.04159375
transcript.pyannote[209].speaker SPEAKER_08
transcript.pyannote[209].start 4792.04159375
transcript.pyannote[209].end 4795.99034375
transcript.pyannote[210].speaker SPEAKER_16
transcript.pyannote[210].start 4795.99034375
transcript.pyannote[210].end 4797.82971875
transcript.pyannote[211].speaker SPEAKER_08
transcript.pyannote[211].start 4796.00721875
transcript.pyannote[211].end 4798.97721875
transcript.pyannote[212].speaker SPEAKER_16
transcript.pyannote[212].start 4798.97721875
transcript.pyannote[212].end 4798.99409375
transcript.pyannote[213].speaker SPEAKER_08
transcript.pyannote[213].start 4798.99409375
transcript.pyannote[213].end 4799.43284375
transcript.pyannote[214].speaker SPEAKER_16
transcript.pyannote[214].start 4799.04471875
transcript.pyannote[214].end 4799.24721875
transcript.pyannote[215].speaker SPEAKER_19
transcript.pyannote[215].start 4799.24721875
transcript.pyannote[215].end 4799.63534375
transcript.pyannote[216].speaker SPEAKER_16
transcript.pyannote[216].start 4799.43284375
transcript.pyannote[216].end 4799.97284375
transcript.pyannote[217].speaker SPEAKER_19
transcript.pyannote[217].start 4799.97284375
transcript.pyannote[217].end 4804.79909375
transcript.pyannote[218].speaker SPEAKER_08
transcript.pyannote[218].start 4804.88346875
transcript.pyannote[218].end 4804.91721875
transcript.pyannote[219].speaker SPEAKER_16
transcript.pyannote[219].start 4804.91721875
transcript.pyannote[219].end 4806.25034375
transcript.pyannote[220].speaker SPEAKER_19
transcript.pyannote[220].start 4806.25034375
transcript.pyannote[220].end 4806.46971875
transcript.pyannote[221].speaker SPEAKER_16
transcript.pyannote[221].start 4806.30096875
transcript.pyannote[221].end 4806.38534375
transcript.pyannote[222].speaker SPEAKER_16
transcript.pyannote[222].start 4806.46971875
transcript.pyannote[222].end 4810.65471875
transcript.pyannote[223].speaker SPEAKER_19
transcript.pyannote[223].start 4806.89159375
transcript.pyannote[223].end 4806.97596875
transcript.pyannote[224].speaker SPEAKER_08
transcript.pyannote[224].start 4806.97596875
transcript.pyannote[224].end 4807.06034375
transcript.pyannote[225].speaker SPEAKER_19
transcript.pyannote[225].start 4807.06034375
transcript.pyannote[225].end 4807.49909375
transcript.pyannote[226].speaker SPEAKER_08
transcript.pyannote[226].start 4807.49909375
transcript.pyannote[226].end 4807.97159375
transcript.pyannote[227].speaker SPEAKER_15
transcript.pyannote[227].start 4807.97159375
transcript.pyannote[227].end 4808.08971875
transcript.pyannote[228].speaker SPEAKER_18
transcript.pyannote[228].start 4808.08971875
transcript.pyannote[228].end 4808.27534375
transcript.pyannote[229].speaker SPEAKER_19
transcript.pyannote[229].start 4808.27534375
transcript.pyannote[229].end 4808.49471875
transcript.pyannote[230].speaker SPEAKER_19
transcript.pyannote[230].start 4808.69721875
transcript.pyannote[230].end 4808.96721875
transcript.pyannote[231].speaker SPEAKER_18
transcript.pyannote[231].start 4809.05159375
transcript.pyannote[231].end 4809.06846875
transcript.pyannote[232].speaker SPEAKER_18
transcript.pyannote[232].start 4809.15284375
transcript.pyannote[232].end 4809.70971875
transcript.pyannote[233].speaker SPEAKER_18
transcript.pyannote[233].start 4811.58284375
transcript.pyannote[233].end 4812.07221875
transcript.pyannote[234].speaker SPEAKER_18
transcript.pyannote[234].start 4813.62471875
transcript.pyannote[234].end 4813.96221875
transcript.pyannote[235].speaker SPEAKER_18
transcript.pyannote[235].start 4813.99596875
transcript.pyannote[235].end 4814.02971875
transcript.pyannote[236].speaker SPEAKER_18
transcript.pyannote[236].start 4816.76346875
transcript.pyannote[236].end 4817.03346875
transcript.pyannote[237].speaker SPEAKER_16
transcript.pyannote[237].start 4817.03346875
transcript.pyannote[237].end 4818.06284375
transcript.pyannote[238].speaker SPEAKER_18
transcript.pyannote[238].start 4818.06284375
transcript.pyannote[238].end 4818.18096875
transcript.pyannote[239].speaker SPEAKER_16
transcript.pyannote[239].start 4818.18096875
transcript.pyannote[239].end 4818.19784375
transcript.pyannote[240].speaker SPEAKER_18
transcript.pyannote[240].start 4818.19784375
transcript.pyannote[240].end 4818.26534375
transcript.pyannote[241].speaker SPEAKER_16
transcript.pyannote[241].start 4818.26534375
transcript.pyannote[241].end 4819.02471875
transcript.pyannote[242].speaker SPEAKER_18
transcript.pyannote[242].start 4819.02471875
transcript.pyannote[242].end 4820.96534375
transcript.pyannote[243].speaker SPEAKER_16
transcript.pyannote[243].start 4820.96534375
transcript.pyannote[243].end 4821.03284375
transcript.pyannote[244].speaker SPEAKER_16
transcript.pyannote[244].start 4822.70346875
transcript.pyannote[244].end 4822.80471875
transcript.pyannote[245].speaker SPEAKER_16
transcript.pyannote[245].start 4822.88909375
transcript.pyannote[245].end 4822.93971875
transcript.pyannote[246].speaker SPEAKER_16
transcript.pyannote[246].start 4830.97221875
transcript.pyannote[246].end 4831.78221875
transcript.pyannote[247].speaker SPEAKER_16
transcript.pyannote[247].start 4831.96784375
transcript.pyannote[247].end 4835.03909375
transcript.pyannote[248].speaker SPEAKER_16
transcript.pyannote[248].start 4835.52846875
transcript.pyannote[248].end 4841.97471875
transcript.pyannote[249].speaker SPEAKER_18
transcript.pyannote[249].start 4836.81096875
transcript.pyannote[249].end 4839.10596875
transcript.pyannote[250].speaker SPEAKER_16
transcript.pyannote[250].start 4847.18909375
transcript.pyannote[250].end 4850.32784375
transcript.pyannote[251].speaker SPEAKER_15
transcript.pyannote[251].start 4847.30721875
transcript.pyannote[251].end 4847.81346875
transcript.pyannote[252].speaker SPEAKER_16
transcript.pyannote[252].start 4851.15471875
transcript.pyannote[252].end 4851.59346875
transcript.pyannote[253].speaker SPEAKER_15
transcript.pyannote[253].start 4851.59346875
transcript.pyannote[253].end 4852.03221875
transcript.pyannote[254].speaker SPEAKER_15
transcript.pyannote[254].start 4852.65659375
transcript.pyannote[254].end 4852.99409375
transcript.pyannote[255].speaker SPEAKER_16
transcript.pyannote[255].start 4852.99409375
transcript.pyannote[255].end 4853.55096875
transcript.pyannote[256].speaker SPEAKER_16
transcript.pyannote[256].start 4854.91784375
transcript.pyannote[256].end 4856.03159375
transcript.pyannote[257].speaker SPEAKER_18
transcript.pyannote[257].start 4856.03159375
transcript.pyannote[257].end 4856.09909375
transcript.pyannote[258].speaker SPEAKER_16
transcript.pyannote[258].start 4856.09909375
transcript.pyannote[258].end 4859.18721875
transcript.pyannote[259].speaker SPEAKER_18
transcript.pyannote[259].start 4858.02284375
transcript.pyannote[259].end 4858.47846875
transcript.pyannote[260].speaker SPEAKER_15
transcript.pyannote[260].start 4858.47846875
transcript.pyannote[260].end 4858.51221875
transcript.pyannote[261].speaker SPEAKER_18
transcript.pyannote[261].start 4858.51221875
transcript.pyannote[261].end 4858.52909375
transcript.pyannote[262].speaker SPEAKER_18
transcript.pyannote[262].start 4860.04784375
transcript.pyannote[262].end 4862.73096875
transcript.pyannote[263].speaker SPEAKER_16
transcript.pyannote[263].start 4861.26284375
transcript.pyannote[263].end 4862.96721875
transcript.pyannote[264].speaker SPEAKER_08
transcript.pyannote[264].start 4862.73096875
transcript.pyannote[264].end 4862.74784375
transcript.pyannote[265].speaker SPEAKER_18
transcript.pyannote[265].start 4862.74784375
transcript.pyannote[265].end 4863.06846875
transcript.pyannote[266].speaker SPEAKER_13
transcript.pyannote[266].start 4863.03471875
transcript.pyannote[266].end 4863.43971875
transcript.pyannote[267].speaker SPEAKER_08
transcript.pyannote[267].start 4863.16971875
transcript.pyannote[267].end 4864.19909375
transcript.pyannote[268].speaker SPEAKER_18
transcript.pyannote[268].start 4863.43971875
transcript.pyannote[268].end 4863.97971875
transcript.pyannote[269].speaker SPEAKER_13
transcript.pyannote[269].start 4863.97971875
transcript.pyannote[269].end 4868.82284375
transcript.pyannote[270].speaker SPEAKER_18
transcript.pyannote[270].start 4864.19909375
transcript.pyannote[270].end 4864.63784375
transcript.pyannote[271].speaker SPEAKER_15
transcript.pyannote[271].start 4867.74284375
transcript.pyannote[271].end 4868.35034375
transcript.pyannote[272].speaker SPEAKER_15
transcript.pyannote[272].start 4868.82284375
transcript.pyannote[272].end 4869.58221875
transcript.pyannote[273].speaker SPEAKER_13
transcript.pyannote[273].start 4869.58221875
transcript.pyannote[273].end 4870.96596875
transcript.pyannote[274].speaker SPEAKER_15
transcript.pyannote[274].start 4869.73409375
transcript.pyannote[274].end 4872.97409375
transcript.pyannote[275].speaker SPEAKER_16
transcript.pyannote[275].start 4870.96596875
transcript.pyannote[275].end 4871.03346875
transcript.pyannote[276].speaker SPEAKER_08
transcript.pyannote[276].start 4871.03346875
transcript.pyannote[276].end 4871.10096875
transcript.pyannote[277].speaker SPEAKER_16
transcript.pyannote[277].start 4871.10096875
transcript.pyannote[277].end 4871.47221875
transcript.pyannote[278].speaker SPEAKER_08
transcript.pyannote[278].start 4871.87721875
transcript.pyannote[278].end 4872.55221875
transcript.pyannote[279].speaker SPEAKER_16
transcript.pyannote[279].start 4872.97409375
transcript.pyannote[279].end 4874.39159375
transcript.pyannote[280].speaker SPEAKER_16
transcript.pyannote[280].start 4881.22596875
transcript.pyannote[280].end 4884.82034375
transcript.pyannote[281].speaker SPEAKER_16
transcript.pyannote[281].start 4885.66409375
transcript.pyannote[281].end 4885.81596875
transcript.pyannote[282].speaker SPEAKER_18
transcript.pyannote[282].start 4885.81596875
transcript.pyannote[282].end 4886.03534375
transcript.pyannote[283].speaker SPEAKER_18
transcript.pyannote[283].start 4886.76096875
transcript.pyannote[283].end 4886.79471875
transcript.pyannote[284].speaker SPEAKER_18
transcript.pyannote[284].start 4887.46971875
transcript.pyannote[284].end 4888.02659375
transcript.pyannote[285].speaker SPEAKER_18
transcript.pyannote[285].start 4890.06846875
transcript.pyannote[285].end 4891.21596875
transcript.pyannote[286].speaker SPEAKER_18
transcript.pyannote[286].start 4892.04284375
transcript.pyannote[286].end 4894.08471875
transcript.pyannote[287].speaker SPEAKER_08
transcript.pyannote[287].start 4894.08471875
transcript.pyannote[287].end 4894.23659375
transcript.pyannote[288].speaker SPEAKER_18
transcript.pyannote[288].start 4894.23659375
transcript.pyannote[288].end 4894.33784375
transcript.pyannote[289].speaker SPEAKER_08
transcript.pyannote[289].start 4894.33784375
transcript.pyannote[289].end 4894.35471875
transcript.pyannote[290].speaker SPEAKER_16
transcript.pyannote[290].start 4894.35471875
transcript.pyannote[290].end 4894.38846875
transcript.pyannote[291].speaker SPEAKER_08
transcript.pyannote[291].start 4894.38846875
transcript.pyannote[291].end 4894.42221875
transcript.pyannote[292].speaker SPEAKER_16
transcript.pyannote[292].start 4894.42221875
transcript.pyannote[292].end 4895.70471875
transcript.pyannote[293].speaker SPEAKER_08
transcript.pyannote[293].start 4895.11409375
transcript.pyannote[293].end 4895.18159375
transcript.pyannote[294].speaker SPEAKER_18
transcript.pyannote[294].start 4895.18159375
transcript.pyannote[294].end 4895.56971875
transcript.pyannote[295].speaker SPEAKER_18
transcript.pyannote[295].start 4895.70471875
transcript.pyannote[295].end 4896.22784375
transcript.pyannote[296].speaker SPEAKER_16
transcript.pyannote[296].start 4896.64971875
transcript.pyannote[296].end 4898.69159375
transcript.pyannote[297].speaker SPEAKER_16
transcript.pyannote[297].start 4899.29909375
transcript.pyannote[297].end 4902.60659375
transcript.pyannote[298].speaker SPEAKER_16
transcript.pyannote[298].start 4903.97346875
transcript.pyannote[298].end 4904.02409375
transcript.pyannote[299].speaker SPEAKER_18
transcript.pyannote[299].start 4912.96784375
transcript.pyannote[299].end 4923.51471875
transcript.pyannote[300].speaker SPEAKER_18
transcript.pyannote[300].start 4923.83534375
transcript.pyannote[300].end 4924.03784375
transcript.pyannote[301].speaker SPEAKER_18
transcript.pyannote[301].start 4924.05471875
transcript.pyannote[301].end 4925.65784375
transcript.pyannote[302].speaker SPEAKER_08
transcript.pyannote[302].start 4925.65784375
transcript.pyannote[302].end 4925.74221875
transcript.pyannote[303].speaker SPEAKER_18
transcript.pyannote[303].start 4926.87284375
transcript.pyannote[303].end 4927.88534375
transcript.pyannote[304].speaker SPEAKER_18
transcript.pyannote[304].start 4931.02409375
transcript.pyannote[304].end 4934.97284375
transcript.pyannote[305].speaker SPEAKER_16
transcript.pyannote[305].start 4931.31096875
transcript.pyannote[305].end 4932.55971875
transcript.pyannote[306].speaker SPEAKER_16
transcript.pyannote[306].start 4934.97284375
transcript.pyannote[306].end 4946.34659375
transcript.pyannote[307].speaker SPEAKER_15
transcript.pyannote[307].start 4938.68534375
transcript.pyannote[307].end 4939.29284375
transcript.pyannote[308].speaker SPEAKER_18
transcript.pyannote[308].start 4939.29284375
transcript.pyannote[308].end 4941.33471875
transcript.pyannote[309].speaker SPEAKER_18
transcript.pyannote[309].start 4942.63409375
transcript.pyannote[309].end 4942.97159375
transcript.pyannote[310].speaker SPEAKER_15
transcript.pyannote[310].start 4942.97159375
transcript.pyannote[310].end 4943.03909375
transcript.pyannote[311].speaker SPEAKER_18
transcript.pyannote[311].start 4943.03909375
transcript.pyannote[311].end 4943.54534375
transcript.pyannote[312].speaker SPEAKER_18
transcript.pyannote[312].start 4943.64659375
transcript.pyannote[312].end 4943.96721875
transcript.pyannote[313].speaker SPEAKER_15
transcript.pyannote[313].start 4943.96721875
transcript.pyannote[313].end 4945.85721875
transcript.pyannote[314].speaker SPEAKER_18
transcript.pyannote[314].start 4946.34659375
transcript.pyannote[314].end 4946.38034375
transcript.pyannote[315].speaker SPEAKER_16
transcript.pyannote[315].start 4946.38034375
transcript.pyannote[315].end 4946.44784375
transcript.pyannote[316].speaker SPEAKER_16
transcript.pyannote[316].start 4946.66721875
transcript.pyannote[316].end 4948.67534375
transcript.pyannote[317].speaker SPEAKER_15
transcript.pyannote[317].start 4947.61221875
transcript.pyannote[317].end 4948.10159375
transcript.pyannote[318].speaker SPEAKER_16
transcript.pyannote[318].start 4948.77659375
transcript.pyannote[318].end 4948.79346875
transcript.pyannote[319].speaker SPEAKER_16
transcript.pyannote[319].start 4948.96221875
transcript.pyannote[319].end 4949.02971875
transcript.pyannote[320].speaker SPEAKER_16
transcript.pyannote[320].start 4949.13096875
transcript.pyannote[320].end 4950.02534375
transcript.pyannote[321].speaker SPEAKER_18
transcript.pyannote[321].start 4976.87346875
transcript.pyannote[321].end 4978.10534375
transcript.pyannote[322].speaker SPEAKER_18
transcript.pyannote[322].start 4978.61159375
transcript.pyannote[322].end 4988.48346875
transcript.pyannote[323].speaker SPEAKER_16
transcript.pyannote[323].start 4988.48346875
transcript.pyannote[323].end 4989.61409375
transcript.pyannote[324].speaker SPEAKER_16
transcript.pyannote[324].start 4989.88409375
transcript.pyannote[324].end 4989.93471875
transcript.pyannote[325].speaker SPEAKER_16
transcript.pyannote[325].start 4990.59284375
transcript.pyannote[325].end 4991.87534375
transcript.pyannote[326].speaker SPEAKER_16
transcript.pyannote[326].start 4992.31409375
transcript.pyannote[326].end 4993.39409375
transcript.pyannote[327].speaker SPEAKER_16
transcript.pyannote[327].start 4993.86659375
transcript.pyannote[327].end 4995.50346875
transcript.pyannote[328].speaker SPEAKER_16
transcript.pyannote[328].start 4997.47784375
transcript.pyannote[328].end 4998.96284375
transcript.pyannote[329].speaker SPEAKER_08
transcript.pyannote[329].start 4998.96284375
transcript.pyannote[329].end 4999.03034375
transcript.pyannote[330].speaker SPEAKER_16
transcript.pyannote[330].start 4999.03034375
transcript.pyannote[330].end 4999.04721875
transcript.pyannote[331].speaker SPEAKER_08
transcript.pyannote[331].start 4999.04721875
transcript.pyannote[331].end 4999.67159375
transcript.pyannote[332].speaker SPEAKER_16
transcript.pyannote[332].start 4999.67159375
transcript.pyannote[332].end 4999.70534375
transcript.pyannote[333].speaker SPEAKER_08
transcript.pyannote[333].start 5001.22409375
transcript.pyannote[333].end 5002.42221875
transcript.pyannote[334].speaker SPEAKER_15
transcript.pyannote[334].start 5004.10971875
transcript.pyannote[334].end 5004.12659375
transcript.pyannote[335].speaker SPEAKER_15
transcript.pyannote[335].start 5004.17721875
transcript.pyannote[335].end 5004.34596875
transcript.pyannote[336].speaker SPEAKER_16
transcript.pyannote[336].start 5004.34596875
transcript.pyannote[336].end 5004.97034375
transcript.pyannote[337].speaker SPEAKER_08
transcript.pyannote[337].start 5004.97034375
transcript.pyannote[337].end 5005.03784375
transcript.pyannote[338].speaker SPEAKER_16
transcript.pyannote[338].start 5005.03784375
transcript.pyannote[338].end 5005.74659375
transcript.pyannote[339].speaker SPEAKER_15
transcript.pyannote[339].start 5005.74659375
transcript.pyannote[339].end 5005.76346875
transcript.pyannote[340].speaker SPEAKER_16
transcript.pyannote[340].start 5006.89409375
transcript.pyannote[340].end 5008.21034375
transcript.pyannote[341].speaker SPEAKER_08
transcript.pyannote[341].start 5007.09659375
transcript.pyannote[341].end 5007.88971875
transcript.pyannote[342].speaker SPEAKER_16
transcript.pyannote[342].start 5010.26909375
transcript.pyannote[342].end 5014.94346875
transcript.pyannote[343].speaker SPEAKER_15
transcript.pyannote[343].start 5010.97784375
transcript.pyannote[343].end 5011.02846875
transcript.pyannote[344].speaker SPEAKER_01
transcript.pyannote[344].start 5011.02846875
transcript.pyannote[344].end 5011.07909375
transcript.pyannote[345].speaker SPEAKER_15
transcript.pyannote[345].start 5011.92284375
transcript.pyannote[345].end 5012.05784375
transcript.pyannote[346].speaker SPEAKER_15
transcript.pyannote[346].start 5012.07471875
transcript.pyannote[346].end 5012.10846875
transcript.pyannote[347].speaker SPEAKER_15
transcript.pyannote[347].start 5012.78346875
transcript.pyannote[347].end 5013.61034375
transcript.pyannote[348].speaker SPEAKER_20
transcript.pyannote[348].start 5014.09971875
transcript.pyannote[348].end 5014.15034375
transcript.pyannote[349].speaker SPEAKER_16
transcript.pyannote[349].start 5015.66909375
transcript.pyannote[349].end 5016.02346875
transcript.pyannote[350].speaker SPEAKER_15
transcript.pyannote[350].start 5026.33409375
transcript.pyannote[350].end 5026.60409375
transcript.pyannote[351].speaker SPEAKER_15
transcript.pyannote[351].start 5027.48159375
transcript.pyannote[351].end 5027.49846875
transcript.pyannote[352].speaker SPEAKER_16
transcript.pyannote[352].start 5027.49846875
transcript.pyannote[352].end 5028.94971875
transcript.pyannote[353].speaker SPEAKER_15
transcript.pyannote[353].start 5027.80221875
transcript.pyannote[353].end 5028.86534375
transcript.pyannote[354].speaker SPEAKER_16
transcript.pyannote[354].start 5029.27034375
transcript.pyannote[354].end 5029.57409375
transcript.pyannote[355].speaker SPEAKER_16
transcript.pyannote[355].start 5029.96221875
transcript.pyannote[355].end 5030.02971875
transcript.pyannote[356].speaker SPEAKER_16
transcript.pyannote[356].start 5030.06346875
transcript.pyannote[356].end 5032.03784375
transcript.pyannote[357].speaker SPEAKER_16
transcript.pyannote[357].start 5036.08784375
transcript.pyannote[357].end 5036.12159375
transcript.pyannote[358].speaker SPEAKER_18
transcript.pyannote[358].start 5036.12159375
transcript.pyannote[358].end 5036.30721875
transcript.pyannote[359].speaker SPEAKER_16
transcript.pyannote[359].start 5036.30721875
transcript.pyannote[359].end 5036.37471875
transcript.pyannote[360].speaker SPEAKER_18
transcript.pyannote[360].start 5036.37471875
transcript.pyannote[360].end 5037.15096875
transcript.pyannote[361].speaker SPEAKER_16
transcript.pyannote[361].start 5036.44221875
transcript.pyannote[361].end 5036.54346875
transcript.pyannote[362].speaker SPEAKER_16
transcript.pyannote[362].start 5037.15096875
transcript.pyannote[362].end 5038.11284375
transcript.pyannote[363].speaker SPEAKER_18
transcript.pyannote[363].start 5037.72471875
transcript.pyannote[363].end 5037.77534375
transcript.pyannote[364].speaker SPEAKER_15
transcript.pyannote[364].start 5037.77534375
transcript.pyannote[364].end 5037.87659375
transcript.pyannote[365].speaker SPEAKER_16
transcript.pyannote[365].start 5038.65284375
transcript.pyannote[365].end 5038.68659375
transcript.pyannote[366].speaker SPEAKER_15
transcript.pyannote[366].start 5038.68659375
transcript.pyannote[366].end 5040.27284375
transcript.pyannote[367].speaker SPEAKER_16
transcript.pyannote[367].start 5040.27284375
transcript.pyannote[367].end 5040.50909375
transcript.pyannote[368].speaker SPEAKER_18
transcript.pyannote[368].start 5049.48659375
transcript.pyannote[368].end 5049.67221875
transcript.pyannote[369].speaker SPEAKER_10
transcript.pyannote[369].start 5062.46346875
transcript.pyannote[369].end 5063.03721875
transcript.pyannote[370].speaker SPEAKER_16
transcript.pyannote[370].start 5063.10471875
transcript.pyannote[370].end 5063.13846875
transcript.pyannote[371].speaker SPEAKER_16
transcript.pyannote[371].start 5063.99909375
transcript.pyannote[371].end 5064.50534375
transcript.pyannote[372].speaker SPEAKER_16
transcript.pyannote[372].start 5065.97346875
transcript.pyannote[372].end 5066.02409375
transcript.pyannote[373].speaker SPEAKER_16
transcript.pyannote[373].start 5066.51346875
transcript.pyannote[373].end 5066.63159375
transcript.pyannote[374].speaker SPEAKER_15
transcript.pyannote[374].start 5067.37409375
transcript.pyannote[374].end 5067.39096875
transcript.pyannote[375].speaker SPEAKER_16
transcript.pyannote[375].start 5067.39096875
transcript.pyannote[375].end 5068.85909375
transcript.pyannote[376].speaker SPEAKER_18
transcript.pyannote[376].start 5068.85909375
transcript.pyannote[376].end 5069.53409375
transcript.pyannote[377].speaker SPEAKER_16
transcript.pyannote[377].start 5069.53409375
transcript.pyannote[377].end 5080.03034375
transcript.pyannote[378].speaker SPEAKER_16
transcript.pyannote[378].start 5080.97534375
transcript.pyannote[378].end 5081.02596875
transcript.pyannote[379].speaker SPEAKER_16
transcript.pyannote[379].start 5082.93284375
transcript.pyannote[379].end 5085.17721875
transcript.pyannote[380].speaker SPEAKER_15
transcript.pyannote[380].start 5083.06784375
transcript.pyannote[380].end 5084.95784375
transcript.pyannote[381].speaker SPEAKER_04
transcript.pyannote[381].start 5084.95784375
transcript.pyannote[381].end 5084.97471875
transcript.pyannote[382].speaker SPEAKER_18
transcript.pyannote[382].start 5089.96971875
transcript.pyannote[382].end 5091.64034375
transcript.pyannote[383].speaker SPEAKER_16
transcript.pyannote[383].start 5092.21409375
transcript.pyannote[383].end 5093.68221875
transcript.pyannote[384].speaker SPEAKER_18
transcript.pyannote[384].start 5093.68221875
transcript.pyannote[384].end 5098.27221875
transcript.pyannote[385].speaker SPEAKER_16
transcript.pyannote[385].start 5096.51721875
transcript.pyannote[385].end 5096.83784375
transcript.pyannote[386].speaker SPEAKER_18
transcript.pyannote[386].start 5122.97721875
transcript.pyannote[386].end 5123.02784375
transcript.pyannote[387].speaker SPEAKER_18
transcript.pyannote[387].start 5124.14159375
transcript.pyannote[387].end 5124.41159375
transcript.pyannote[388].speaker SPEAKER_18
transcript.pyannote[388].start 5126.82471875
transcript.pyannote[388].end 5127.34784375
transcript.pyannote[389].speaker SPEAKER_18
transcript.pyannote[389].start 5127.55034375
transcript.pyannote[389].end 5127.63471875
transcript.pyannote[390].speaker SPEAKER_18
transcript.pyannote[390].start 5127.65159375
transcript.pyannote[390].end 5127.66846875
transcript.pyannote[391].speaker SPEAKER_18
transcript.pyannote[391].start 5127.68534375
transcript.pyannote[391].end 5127.71909375
transcript.pyannote[392].speaker SPEAKER_18
transcript.pyannote[392].start 5127.82034375
transcript.pyannote[392].end 5129.71034375
transcript.pyannote[393].speaker SPEAKER_18
transcript.pyannote[393].start 5144.34096875
transcript.pyannote[393].end 5145.89346875
transcript.pyannote[394].speaker SPEAKER_17
transcript.pyannote[394].start 5157.55409375
transcript.pyannote[394].end 5158.11096875
transcript.pyannote[395].speaker SPEAKER_17
transcript.pyannote[395].start 5158.38096875
transcript.pyannote[395].end 5174.47971875
transcript.pyannote[396].speaker SPEAKER_17
transcript.pyannote[396].start 5175.22221875
transcript.pyannote[396].end 5180.87534375
transcript.pyannote[397].speaker SPEAKER_15
transcript.pyannote[397].start 5183.08596875
transcript.pyannote[397].end 5183.30534375
transcript.pyannote[398].speaker SPEAKER_08
transcript.pyannote[398].start 5183.30534375
transcript.pyannote[398].end 5185.00971875
transcript.pyannote[399].speaker SPEAKER_07
transcript.pyannote[399].start 5186.37659375
transcript.pyannote[399].end 5209.30971875
transcript.pyannote[400].speaker SPEAKER_07
transcript.pyannote[400].start 5209.76534375
transcript.pyannote[400].end 5224.24409375
transcript.pyannote[401].speaker SPEAKER_17
transcript.pyannote[401].start 5224.63221875
transcript.pyannote[401].end 5225.22284375
transcript.pyannote[402].speaker SPEAKER_17
transcript.pyannote[402].start 5225.83034375
transcript.pyannote[402].end 5226.31971875
transcript.pyannote[403].speaker SPEAKER_17
transcript.pyannote[403].start 5227.01159375
transcript.pyannote[403].end 5227.04534375
transcript.pyannote[404].speaker SPEAKER_20
transcript.pyannote[404].start 5227.04534375
transcript.pyannote[404].end 5228.09159375
transcript.pyannote[405].speaker SPEAKER_20
transcript.pyannote[405].start 5229.67784375
transcript.pyannote[405].end 5236.61346875
transcript.pyannote[406].speaker SPEAKER_20
transcript.pyannote[406].start 5237.37284375
transcript.pyannote[406].end 5241.82784375
transcript.pyannote[407].speaker SPEAKER_20
transcript.pyannote[407].start 5242.43534375
transcript.pyannote[407].end 5245.08471875
transcript.pyannote[408].speaker SPEAKER_20
transcript.pyannote[408].start 5245.16909375
transcript.pyannote[408].end 5246.31659375
transcript.pyannote[409].speaker SPEAKER_20
transcript.pyannote[409].start 5246.95784375
transcript.pyannote[409].end 5257.36971875
transcript.pyannote[410].speaker SPEAKER_20
transcript.pyannote[410].start 5258.88846875
transcript.pyannote[410].end 5271.39284375
transcript.pyannote[411].speaker SPEAKER_20
transcript.pyannote[411].start 5272.82721875
transcript.pyannote[411].end 5275.05471875
transcript.pyannote[412].speaker SPEAKER_20
transcript.pyannote[412].start 5275.25721875
transcript.pyannote[412].end 5279.08784375
transcript.pyannote[413].speaker SPEAKER_07
transcript.pyannote[413].start 5280.50534375
transcript.pyannote[413].end 5311.53846875
transcript.pyannote[414].speaker SPEAKER_15
transcript.pyannote[414].start 5295.00096875
transcript.pyannote[414].end 5295.76034375
transcript.pyannote[415].speaker SPEAKER_07
transcript.pyannote[415].start 5312.02784375
transcript.pyannote[415].end 5313.90096875
transcript.pyannote[416].speaker SPEAKER_17
transcript.pyannote[416].start 5313.05721875
transcript.pyannote[416].end 5317.36034375
transcript.pyannote[417].speaker SPEAKER_07
transcript.pyannote[417].start 5315.95971875
transcript.pyannote[417].end 5316.21284375
transcript.pyannote[418].speaker SPEAKER_07
transcript.pyannote[418].start 5317.19159375
transcript.pyannote[418].end 5317.25909375
transcript.pyannote[419].speaker SPEAKER_15
transcript.pyannote[419].start 5317.25909375
transcript.pyannote[419].end 5317.46159375
transcript.pyannote[420].speaker SPEAKER_17
transcript.pyannote[420].start 5317.46159375
transcript.pyannote[420].end 5318.96346875
transcript.pyannote[421].speaker SPEAKER_07
transcript.pyannote[421].start 5317.51221875
transcript.pyannote[421].end 5317.54596875
transcript.pyannote[422].speaker SPEAKER_15
transcript.pyannote[422].start 5318.96346875
transcript.pyannote[422].end 5319.30096875
transcript.pyannote[423].speaker SPEAKER_07
transcript.pyannote[423].start 5319.30096875
transcript.pyannote[423].end 5319.31784375
transcript.pyannote[424].speaker SPEAKER_17
transcript.pyannote[424].start 5319.80721875
transcript.pyannote[424].end 5320.44846875
transcript.pyannote[425].speaker SPEAKER_17
transcript.pyannote[425].start 5320.58346875
transcript.pyannote[425].end 5323.80659375
transcript.pyannote[426].speaker SPEAKER_17
transcript.pyannote[426].start 5324.16096875
transcript.pyannote[426].end 5326.33784375
transcript.pyannote[427].speaker SPEAKER_17
transcript.pyannote[427].start 5327.94096875
transcript.pyannote[427].end 5328.31221875
transcript.pyannote[428].speaker SPEAKER_17
transcript.pyannote[428].start 5329.00409375
transcript.pyannote[428].end 5335.55159375
transcript.pyannote[429].speaker SPEAKER_17
transcript.pyannote[429].start 5336.15909375
transcript.pyannote[429].end 5337.03659375
transcript.pyannote[430].speaker SPEAKER_17
transcript.pyannote[430].start 5337.49221875
transcript.pyannote[430].end 5340.02346875
transcript.pyannote[431].speaker SPEAKER_17
transcript.pyannote[431].start 5344.74846875
transcript.pyannote[431].end 5344.78221875
transcript.pyannote[432].speaker SPEAKER_20
transcript.pyannote[432].start 5344.78221875
transcript.pyannote[432].end 5351.22846875
transcript.pyannote[433].speaker SPEAKER_20
transcript.pyannote[433].start 5351.68409375
transcript.pyannote[433].end 5378.51534375
transcript.pyannote[434].speaker SPEAKER_17
transcript.pyannote[434].start 5381.28284375
transcript.pyannote[434].end 5425.44471875
transcript.pyannote[435].speaker SPEAKER_17
transcript.pyannote[435].start 5426.38971875
transcript.pyannote[435].end 5433.67971875
transcript.pyannote[436].speaker SPEAKER_17
transcript.pyannote[436].start 5433.91596875
transcript.pyannote[436].end 5434.54034375
transcript.pyannote[437].speaker SPEAKER_17
transcript.pyannote[437].start 5435.46846875
transcript.pyannote[437].end 5437.45971875
transcript.pyannote[438].speaker SPEAKER_07
transcript.pyannote[438].start 5439.46784375
transcript.pyannote[438].end 5448.29346875
transcript.pyannote[439].speaker SPEAKER_07
transcript.pyannote[439].start 5448.54659375
transcript.pyannote[439].end 5461.92846875
transcript.pyannote[440].speaker SPEAKER_07
transcript.pyannote[440].start 5462.24909375
transcript.pyannote[440].end 5462.58659375
transcript.pyannote[441].speaker SPEAKER_07
transcript.pyannote[441].start 5462.68784375
transcript.pyannote[441].end 5463.51471875
transcript.pyannote[442].speaker SPEAKER_07
transcript.pyannote[442].start 5465.37096875
transcript.pyannote[442].end 5467.86846875
transcript.pyannote[443].speaker SPEAKER_07
transcript.pyannote[443].start 5468.12159375
transcript.pyannote[443].end 5468.42534375
transcript.pyannote[444].speaker SPEAKER_07
transcript.pyannote[444].start 5469.87659375
transcript.pyannote[444].end 5470.50096875
transcript.pyannote[445].speaker SPEAKER_17
transcript.pyannote[445].start 5470.63596875
transcript.pyannote[445].end 5483.73096875
transcript.pyannote[446].speaker SPEAKER_07
transcript.pyannote[446].start 5472.13784375
transcript.pyannote[446].end 5473.38659375
transcript.pyannote[447].speaker SPEAKER_06
transcript.pyannote[447].start 5486.65034375
transcript.pyannote[447].end 5486.66721875
transcript.pyannote[448].speaker SPEAKER_07
transcript.pyannote[448].start 5486.66721875
transcript.pyannote[448].end 5492.03346875
transcript.pyannote[449].speaker SPEAKER_06
transcript.pyannote[449].start 5491.37534375
transcript.pyannote[449].end 5491.44284375
transcript.pyannote[450].speaker SPEAKER_06
transcript.pyannote[450].start 5491.62846875
transcript.pyannote[450].end 5496.50534375
transcript.pyannote[451].speaker SPEAKER_07
transcript.pyannote[451].start 5497.36596875
transcript.pyannote[451].end 5502.52971875
transcript.pyannote[452].speaker SPEAKER_07
transcript.pyannote[452].start 5502.69846875
transcript.pyannote[452].end 5502.76596875
transcript.pyannote[453].speaker SPEAKER_17
transcript.pyannote[453].start 5502.76596875
transcript.pyannote[453].end 5552.15909375
transcript.pyannote[454].speaker SPEAKER_17
transcript.pyannote[454].start 5552.58096875
transcript.pyannote[454].end 5560.15784375
transcript.pyannote[455].speaker SPEAKER_17
transcript.pyannote[455].start 5560.93409375
transcript.pyannote[455].end 5562.46971875
transcript.pyannote[456].speaker SPEAKER_17
transcript.pyannote[456].start 5563.53284375
transcript.pyannote[456].end 5566.01346875
transcript.pyannote[457].speaker SPEAKER_17
transcript.pyannote[457].start 5567.04284375
transcript.pyannote[457].end 5570.06346875
transcript.pyannote[458].speaker SPEAKER_17
transcript.pyannote[458].start 5570.43471875
transcript.pyannote[458].end 5571.14346875
transcript.pyannote[459].speaker SPEAKER_17
transcript.pyannote[459].start 5572.91534375
transcript.pyannote[459].end 5576.03721875
transcript.pyannote[460].speaker SPEAKER_17
transcript.pyannote[460].start 5576.37471875
transcript.pyannote[460].end 5582.28096875
transcript.pyannote[461].speaker SPEAKER_17
transcript.pyannote[461].start 5582.61846875
transcript.pyannote[461].end 5583.12471875
transcript.pyannote[462].speaker SPEAKER_08
transcript.pyannote[462].start 5583.12471875
transcript.pyannote[462].end 5584.52534375
transcript.pyannote[463].speaker SPEAKER_17
transcript.pyannote[463].start 5584.79534375
transcript.pyannote[463].end 5586.87096875
transcript.pyannote[464].speaker SPEAKER_17
transcript.pyannote[464].start 5588.74409375
transcript.pyannote[464].end 5595.89909375
transcript.pyannote[465].speaker SPEAKER_17
transcript.pyannote[465].start 5597.67096875
transcript.pyannote[465].end 5600.77596875
transcript.pyannote[466].speaker SPEAKER_17
transcript.pyannote[466].start 5601.85596875
transcript.pyannote[466].end 5605.55159375
transcript.pyannote[467].speaker SPEAKER_17
transcript.pyannote[467].start 5608.74096875
transcript.pyannote[467].end 5610.00659375
transcript.pyannote[468].speaker SPEAKER_17
transcript.pyannote[468].start 5611.66034375
transcript.pyannote[468].end 5616.18284375
transcript.pyannote[469].speaker SPEAKER_17
transcript.pyannote[469].start 5616.75659375
transcript.pyannote[469].end 5618.22471875
transcript.pyannote[470].speaker SPEAKER_04
transcript.pyannote[470].start 5618.96721875
transcript.pyannote[470].end 5620.26659375
transcript.pyannote[471].speaker SPEAKER_17
transcript.pyannote[471].start 5620.26659375
transcript.pyannote[471].end 5627.87721875
transcript.pyannote[472].speaker SPEAKER_13
transcript.pyannote[472].start 5631.30284375
transcript.pyannote[472].end 5691.12471875
transcript.pyannote[473].speaker SPEAKER_17
transcript.pyannote[473].start 5694.28034375
transcript.pyannote[473].end 5695.98471875
transcript.pyannote[474].speaker SPEAKER_17
transcript.pyannote[474].start 5696.42346875
transcript.pyannote[474].end 5698.85346875
transcript.pyannote[475].speaker SPEAKER_17
transcript.pyannote[475].start 5698.90409375
transcript.pyannote[475].end 5698.95471875
transcript.pyannote[476].speaker SPEAKER_05
transcript.pyannote[476].start 5698.95471875
transcript.pyannote[476].end 5712.92721875
transcript.pyannote[477].speaker SPEAKER_05
transcript.pyannote[477].start 5714.00721875
transcript.pyannote[477].end 5742.39096875
transcript.pyannote[478].speaker SPEAKER_05
transcript.pyannote[478].start 5743.53846875
transcript.pyannote[478].end 5754.96284375
transcript.pyannote[479].speaker SPEAKER_20
transcript.pyannote[479].start 5754.96284375
transcript.pyannote[479].end 5822.00721875
transcript.pyannote[480].speaker SPEAKER_20
transcript.pyannote[480].start 5822.39534375
transcript.pyannote[480].end 5824.03221875
transcript.pyannote[481].speaker SPEAKER_17
transcript.pyannote[481].start 5824.03221875
transcript.pyannote[481].end 5825.95596875
transcript.pyannote[482].speaker SPEAKER_06
transcript.pyannote[482].start 5828.68971875
transcript.pyannote[482].end 5903.64846875
transcript.pyannote[483].speaker SPEAKER_17
transcript.pyannote[483].start 5904.96471875
transcript.pyannote[483].end 5905.77471875
transcript.pyannote[484].speaker SPEAKER_17
transcript.pyannote[484].start 5906.34846875
transcript.pyannote[484].end 5910.71909375
transcript.pyannote[485].speaker SPEAKER_11
transcript.pyannote[485].start 5912.44034375
transcript.pyannote[485].end 5914.73534375
transcript.pyannote[486].speaker SPEAKER_11
transcript.pyannote[486].start 5916.11909375
transcript.pyannote[486].end 6021.62159375
transcript.pyannote[487].speaker SPEAKER_00
transcript.pyannote[487].start 5990.65596875
transcript.pyannote[487].end 5990.70659375
transcript.pyannote[488].speaker SPEAKER_15
transcript.pyannote[488].start 5990.70659375
transcript.pyannote[488].end 5990.74034375
transcript.pyannote[489].speaker SPEAKER_00
transcript.pyannote[489].start 5990.74034375
transcript.pyannote[489].end 5990.79096875
transcript.pyannote[490].speaker SPEAKER_11
transcript.pyannote[490].start 6022.54971875
transcript.pyannote[490].end 6079.94159375
transcript.pyannote[491].speaker SPEAKER_17
transcript.pyannote[491].start 6079.94159375
transcript.pyannote[491].end 6085.22346875
transcript.pyannote[492].speaker SPEAKER_11
transcript.pyannote[492].start 6083.51909375
transcript.pyannote[492].end 6083.95784375
transcript.pyannote[493].speaker SPEAKER_11
transcript.pyannote[493].start 6084.37971875
transcript.pyannote[493].end 6084.95346875
transcript.pyannote[494].speaker SPEAKER_15
transcript.pyannote[494].start 6085.22346875
transcript.pyannote[494].end 6085.24034375
transcript.pyannote[495].speaker SPEAKER_17
transcript.pyannote[495].start 6085.24034375
transcript.pyannote[495].end 6085.25721875
transcript.pyannote[496].speaker SPEAKER_11
transcript.pyannote[496].start 6085.44284375
transcript.pyannote[496].end 6089.08784375
transcript.pyannote[497].speaker SPEAKER_15
transcript.pyannote[497].start 6086.18534375
transcript.pyannote[497].end 6087.02909375
transcript.pyannote[498].speaker SPEAKER_17
transcript.pyannote[498].start 6087.02909375
transcript.pyannote[498].end 6087.04596875
transcript.pyannote[499].speaker SPEAKER_15
transcript.pyannote[499].start 6087.04596875
transcript.pyannote[499].end 6087.11346875
transcript.pyannote[500].speaker SPEAKER_17
transcript.pyannote[500].start 6087.11346875
transcript.pyannote[500].end 6087.28221875
transcript.pyannote[501].speaker SPEAKER_15
transcript.pyannote[501].start 6087.28221875
transcript.pyannote[501].end 6087.70409375
transcript.pyannote[502].speaker SPEAKER_17
transcript.pyannote[502].start 6087.70409375
transcript.pyannote[502].end 6090.03284375
transcript.pyannote[503].speaker SPEAKER_11
transcript.pyannote[503].start 6089.74596875
transcript.pyannote[503].end 6090.97784375
transcript.pyannote[504].speaker SPEAKER_17
transcript.pyannote[504].start 6090.85971875
transcript.pyannote[504].end 6095.50034375
transcript.pyannote[505].speaker SPEAKER_11
transcript.pyannote[505].start 6094.72409375
transcript.pyannote[505].end 6098.57159375
transcript.pyannote[506].speaker SPEAKER_11
transcript.pyannote[506].start 6099.21284375
transcript.pyannote[506].end 6103.71846875
transcript.pyannote[507].speaker SPEAKER_17
transcript.pyannote[507].start 6103.00971875
transcript.pyannote[507].end 6104.81534375
transcript.pyannote[508].speaker SPEAKER_11
transcript.pyannote[508].start 6104.81534375
transcript.pyannote[508].end 6105.06846875
transcript.pyannote[509].speaker SPEAKER_17
transcript.pyannote[509].start 6105.47346875
transcript.pyannote[509].end 6109.18596875
transcript.pyannote[510].speaker SPEAKER_13
transcript.pyannote[510].start 6109.18596875
transcript.pyannote[510].end 6109.27034375
transcript.pyannote[511].speaker SPEAKER_10
transcript.pyannote[511].start 6109.27034375
transcript.pyannote[511].end 6109.84409375
transcript.pyannote[512].speaker SPEAKER_10
transcript.pyannote[512].start 6109.97909375
transcript.pyannote[512].end 6121.09971875
transcript.pyannote[513].speaker SPEAKER_15
transcript.pyannote[513].start 6118.16346875
transcript.pyannote[513].end 6119.29409375
transcript.pyannote[514].speaker SPEAKER_04
transcript.pyannote[514].start 6122.77034375
transcript.pyannote[514].end 6139.67909375
transcript.pyannote[515].speaker SPEAKER_04
transcript.pyannote[515].start 6139.84784375
transcript.pyannote[515].end 6140.48909375
transcript.pyannote[516].speaker SPEAKER_04
transcript.pyannote[516].start 6140.86034375
transcript.pyannote[516].end 6141.33284375
transcript.pyannote[517].speaker SPEAKER_20
transcript.pyannote[517].start 6147.88034375
transcript.pyannote[517].end 6148.43721875
transcript.pyannote[518].speaker SPEAKER_20
transcript.pyannote[518].start 6150.96846875
transcript.pyannote[518].end 6195.88971875
transcript.pyannote[519].speaker SPEAKER_13
transcript.pyannote[519].start 6196.02471875
transcript.pyannote[519].end 6203.14596875
transcript.pyannote[520].speaker SPEAKER_15
transcript.pyannote[520].start 6201.15471875
transcript.pyannote[520].end 6202.50471875
transcript.pyannote[521].speaker SPEAKER_15
transcript.pyannote[521].start 6203.14596875
transcript.pyannote[521].end 6203.66909375
transcript.pyannote[522].speaker SPEAKER_15
transcript.pyannote[522].start 6203.70284375
transcript.pyannote[522].end 6203.73659375
transcript.pyannote[523].speaker SPEAKER_13
transcript.pyannote[523].start 6204.19221875
transcript.pyannote[523].end 6207.21284375
transcript.pyannote[524].speaker SPEAKER_04
transcript.pyannote[524].start 6208.17471875
transcript.pyannote[524].end 6212.08971875
transcript.pyannote[525].speaker SPEAKER_13
transcript.pyannote[525].start 6212.19096875
transcript.pyannote[525].end 6212.78159375
transcript.pyannote[526].speaker SPEAKER_13
transcript.pyannote[526].start 6214.33409375
transcript.pyannote[526].end 6229.89284375
transcript.pyannote[527].speaker SPEAKER_04
transcript.pyannote[527].start 6231.24284375
transcript.pyannote[527].end 6270.29159375
transcript.pyannote[528].speaker SPEAKER_13
transcript.pyannote[528].start 6268.46909375
transcript.pyannote[528].end 6268.70534375
transcript.pyannote[529].speaker SPEAKER_13
transcript.pyannote[529].start 6268.90784375
transcript.pyannote[529].end 6269.48159375
transcript.pyannote[530].speaker SPEAKER_13
transcript.pyannote[530].start 6270.47721875
transcript.pyannote[530].end 6278.29034375
transcript.pyannote[531].speaker SPEAKER_15
transcript.pyannote[531].start 6278.83034375
transcript.pyannote[531].end 6279.28596875
transcript.pyannote[532].speaker SPEAKER_04
transcript.pyannote[532].start 6279.28596875
transcript.pyannote[532].end 6279.30284375
transcript.pyannote[533].speaker SPEAKER_13
transcript.pyannote[533].start 6279.30284375
transcript.pyannote[533].end 6306.21846875
transcript.pyannote[534].speaker SPEAKER_17
transcript.pyannote[534].start 6306.21846875
transcript.pyannote[534].end 6309.03659375
transcript.pyannote[535].speaker SPEAKER_05
transcript.pyannote[535].start 6308.69909375
transcript.pyannote[535].end 6309.15471875
transcript.pyannote[536].speaker SPEAKER_07
transcript.pyannote[536].start 6309.03659375
transcript.pyannote[536].end 6311.21346875
transcript.pyannote[537].speaker SPEAKER_17
transcript.pyannote[537].start 6309.18846875
transcript.pyannote[537].end 6309.55971875
transcript.pyannote[538].speaker SPEAKER_05
transcript.pyannote[538].start 6311.66909375
transcript.pyannote[538].end 6321.89534375
transcript.pyannote[539].speaker SPEAKER_05
transcript.pyannote[539].start 6322.13159375
transcript.pyannote[539].end 6330.63659375
transcript.pyannote[540].speaker SPEAKER_13
transcript.pyannote[540].start 6330.90659375
transcript.pyannote[540].end 6334.90596875
transcript.pyannote[541].speaker SPEAKER_13
transcript.pyannote[541].start 6335.34471875
transcript.pyannote[541].end 6335.95221875
transcript.pyannote[542].speaker SPEAKER_13
transcript.pyannote[542].start 6336.54284375
transcript.pyannote[542].end 6337.58909375
transcript.pyannote[543].speaker SPEAKER_13
transcript.pyannote[543].start 6338.12909375
transcript.pyannote[543].end 6338.65221875
transcript.pyannote[544].speaker SPEAKER_13
transcript.pyannote[544].start 6338.98971875
transcript.pyannote[544].end 6339.74909375
transcript.pyannote[545].speaker SPEAKER_13
transcript.pyannote[545].start 6339.83346875
transcript.pyannote[545].end 6340.84596875
transcript.pyannote[546].speaker SPEAKER_13
transcript.pyannote[546].start 6341.35221875
transcript.pyannote[546].end 6342.38159375
transcript.pyannote[547].speaker SPEAKER_13
transcript.pyannote[547].start 6342.60096875
transcript.pyannote[547].end 6343.52909375
transcript.pyannote[548].speaker SPEAKER_13
transcript.pyannote[548].start 6344.52471875
transcript.pyannote[548].end 6345.08159375
transcript.pyannote[549].speaker SPEAKER_13
transcript.pyannote[549].start 6345.40221875
transcript.pyannote[549].end 6346.04346875
transcript.pyannote[550].speaker SPEAKER_17
transcript.pyannote[550].start 6347.86596875
transcript.pyannote[550].end 6349.58721875
transcript.pyannote[551].speaker SPEAKER_17
transcript.pyannote[551].start 6349.97534375
transcript.pyannote[551].end 6354.36284375
transcript.pyannote[552].speaker SPEAKER_15
transcript.pyannote[552].start 6354.36284375
transcript.pyannote[552].end 6356.94471875
transcript.pyannote[553].speaker SPEAKER_17
transcript.pyannote[553].start 6356.21909375
transcript.pyannote[553].end 6356.97846875
transcript.pyannote[554].speaker SPEAKER_06
transcript.pyannote[554].start 6356.97846875
transcript.pyannote[554].end 6357.67034375
transcript.pyannote[555].speaker SPEAKER_17
transcript.pyannote[555].start 6357.67034375
transcript.pyannote[555].end 6357.75471875
transcript.pyannote[556].speaker SPEAKER_17
transcript.pyannote[556].start 6358.46346875
transcript.pyannote[556].end 6358.48034375
transcript.pyannote[557].speaker SPEAKER_06
transcript.pyannote[557].start 6358.48034375
transcript.pyannote[557].end 6383.77596875
transcript.pyannote[558].speaker SPEAKER_06
transcript.pyannote[558].start 6384.41721875
transcript.pyannote[558].end 6385.66596875
transcript.pyannote[559].speaker SPEAKER_06
transcript.pyannote[559].start 6385.86846875
transcript.pyannote[559].end 6389.32784375
transcript.pyannote[560].speaker SPEAKER_05
transcript.pyannote[560].start 6389.32784375
transcript.pyannote[560].end 6389.34471875
transcript.pyannote[561].speaker SPEAKER_06
transcript.pyannote[561].start 6389.85096875
transcript.pyannote[561].end 6390.28971875
transcript.pyannote[562].speaker SPEAKER_17
transcript.pyannote[562].start 6390.28971875
transcript.pyannote[562].end 6390.35721875
transcript.pyannote[563].speaker SPEAKER_06
transcript.pyannote[563].start 6390.45846875
transcript.pyannote[563].end 6391.38659375
transcript.pyannote[564].speaker SPEAKER_17
transcript.pyannote[564].start 6391.38659375
transcript.pyannote[564].end 6391.42034375
transcript.pyannote[565].speaker SPEAKER_06
transcript.pyannote[565].start 6392.58471875
transcript.pyannote[565].end 6392.60159375
transcript.pyannote[566].speaker SPEAKER_17
transcript.pyannote[566].start 6392.60159375
transcript.pyannote[566].end 6426.67221875
transcript.pyannote[567].speaker SPEAKER_00
transcript.pyannote[567].start 6419.01096875
transcript.pyannote[567].end 6419.02784375
transcript.pyannote[568].speaker SPEAKER_13
transcript.pyannote[568].start 6419.02784375
transcript.pyannote[568].end 6419.75346875
transcript.pyannote[569].speaker SPEAKER_13
transcript.pyannote[569].start 6426.67221875
transcript.pyannote[569].end 6429.30471875
transcript.pyannote[570].speaker SPEAKER_17
transcript.pyannote[570].start 6428.64659375
transcript.pyannote[570].end 6432.44346875
transcript.pyannote[571].speaker SPEAKER_13
transcript.pyannote[571].start 6429.65909375
transcript.pyannote[571].end 6429.81096875
transcript.pyannote[572].speaker SPEAKER_13
transcript.pyannote[572].start 6430.99221875
transcript.pyannote[572].end 6431.73471875
transcript.pyannote[573].speaker SPEAKER_17
transcript.pyannote[573].start 6433.10159375
transcript.pyannote[573].end 6433.45596875
transcript.pyannote[574].speaker SPEAKER_11
transcript.pyannote[574].start 6437.80971875
transcript.pyannote[574].end 6439.17659375
transcript.pyannote[575].speaker SPEAKER_11
transcript.pyannote[575].start 6439.36221875
transcript.pyannote[575].end 6443.00721875
transcript.pyannote[576].speaker SPEAKER_11
transcript.pyannote[576].start 6443.88471875
transcript.pyannote[576].end 6446.58471875
transcript.pyannote[577].speaker SPEAKER_16
transcript.pyannote[577].start 6446.43284375
transcript.pyannote[577].end 6448.10346875
transcript.pyannote[578].speaker SPEAKER_11
transcript.pyannote[578].start 6447.76596875
transcript.pyannote[578].end 6483.82784375
transcript.pyannote[579].speaker SPEAKER_17
transcript.pyannote[579].start 6484.72221875
transcript.pyannote[579].end 6485.14409375
transcript.pyannote[580].speaker SPEAKER_17
transcript.pyannote[580].start 6486.27471875
transcript.pyannote[580].end 6489.75096875
transcript.pyannote[581].speaker SPEAKER_06
transcript.pyannote[581].start 6490.86471875
transcript.pyannote[581].end 6494.52659375
transcript.pyannote[582].speaker SPEAKER_06
transcript.pyannote[582].start 6495.11721875
transcript.pyannote[582].end 6501.46221875
transcript.pyannote[583].speaker SPEAKER_06
transcript.pyannote[583].start 6501.79971875
transcript.pyannote[583].end 6510.69284375
transcript.pyannote[584].speaker SPEAKER_11
transcript.pyannote[584].start 6510.89534375
transcript.pyannote[584].end 6511.31721875
transcript.pyannote[585].speaker SPEAKER_15
transcript.pyannote[585].start 6511.31721875
transcript.pyannote[585].end 6512.02596875
transcript.pyannote[586].speaker SPEAKER_11
transcript.pyannote[586].start 6512.02596875
transcript.pyannote[586].end 6512.14409375
transcript.pyannote[587].speaker SPEAKER_15
transcript.pyannote[587].start 6512.14409375
transcript.pyannote[587].end 6512.16096875
transcript.pyannote[588].speaker SPEAKER_11
transcript.pyannote[588].start 6512.16096875
transcript.pyannote[588].end 6512.17784375
transcript.pyannote[589].speaker SPEAKER_15
transcript.pyannote[589].start 6512.17784375
transcript.pyannote[589].end 6512.27909375
transcript.pyannote[590].speaker SPEAKER_06
transcript.pyannote[590].start 6512.21159375
transcript.pyannote[590].end 6512.88659375
transcript.pyannote[591].speaker SPEAKER_11
transcript.pyannote[591].start 6512.27909375
transcript.pyannote[591].end 6512.36346875
transcript.pyannote[592].speaker SPEAKER_15
transcript.pyannote[592].start 6512.36346875
transcript.pyannote[592].end 6512.46471875
transcript.pyannote[593].speaker SPEAKER_11
transcript.pyannote[593].start 6512.46471875
transcript.pyannote[593].end 6512.78534375
transcript.pyannote[594].speaker SPEAKER_11
transcript.pyannote[594].start 6512.88659375
transcript.pyannote[594].end 6523.68659375
transcript.pyannote[595].speaker SPEAKER_11
transcript.pyannote[595].start 6524.61471875
transcript.pyannote[595].end 6533.84534375
transcript.pyannote[596].speaker SPEAKER_18
transcript.pyannote[596].start 6526.31909375
transcript.pyannote[596].end 6526.77471875
transcript.pyannote[597].speaker SPEAKER_15
transcript.pyannote[597].start 6533.74409375
transcript.pyannote[597].end 6534.14909375
transcript.pyannote[598].speaker SPEAKER_11
transcript.pyannote[598].start 6534.14909375
transcript.pyannote[598].end 6541.70909375
transcript.pyannote[599].speaker SPEAKER_15
transcript.pyannote[599].start 6534.26721875
transcript.pyannote[599].end 6534.68909375
transcript.pyannote[600].speaker SPEAKER_06
transcript.pyannote[600].start 6543.22784375
transcript.pyannote[600].end 6552.03659375
transcript.pyannote[601].speaker SPEAKER_05
transcript.pyannote[601].start 6552.03659375
transcript.pyannote[601].end 6552.57659375
transcript.pyannote[602].speaker SPEAKER_06
transcript.pyannote[602].start 6553.20096875
transcript.pyannote[602].end 6553.21784375
transcript.pyannote[603].speaker SPEAKER_05
transcript.pyannote[603].start 6553.21784375
transcript.pyannote[603].end 6564.16971875
transcript.pyannote[604].speaker SPEAKER_05
transcript.pyannote[604].start 6564.33846875
transcript.pyannote[604].end 6569.08034375
transcript.pyannote[605].speaker SPEAKER_05
transcript.pyannote[605].start 6570.76784375
transcript.pyannote[605].end 6571.69596875
transcript.pyannote[606].speaker SPEAKER_05
transcript.pyannote[606].start 6571.89846875
transcript.pyannote[606].end 6572.50596875
transcript.pyannote[607].speaker SPEAKER_17
transcript.pyannote[607].start 6574.93596875
transcript.pyannote[607].end 6576.04971875
transcript.pyannote[608].speaker SPEAKER_17
transcript.pyannote[608].start 6576.42096875
transcript.pyannote[608].end 6629.32409375
transcript.pyannote[609].speaker SPEAKER_00
transcript.pyannote[609].start 6611.03159375
transcript.pyannote[609].end 6611.23409375
transcript.pyannote[610].speaker SPEAKER_17
transcript.pyannote[610].start 6632.17596875
transcript.pyannote[610].end 6632.41221875
transcript.pyannote[611].speaker SPEAKER_05
transcript.pyannote[611].start 6632.41221875
transcript.pyannote[611].end 6640.15784375
transcript.pyannote[612].speaker SPEAKER_17
transcript.pyannote[612].start 6638.48721875
transcript.pyannote[612].end 6646.58721875
transcript.pyannote[613].speaker SPEAKER_05
transcript.pyannote[613].start 6641.03534375
transcript.pyannote[613].end 6641.20409375
transcript.pyannote[614].speaker SPEAKER_19
transcript.pyannote[614].start 6641.20409375
transcript.pyannote[614].end 6641.23784375
transcript.pyannote[615].speaker SPEAKER_05
transcript.pyannote[615].start 6642.72284375
transcript.pyannote[615].end 6642.95909375
transcript.pyannote[616].speaker SPEAKER_19
transcript.pyannote[616].start 6647.58284375
transcript.pyannote[616].end 6647.61659375
transcript.pyannote[617].speaker SPEAKER_17
transcript.pyannote[617].start 6647.61659375
transcript.pyannote[617].end 6648.05534375
transcript.pyannote[618].speaker SPEAKER_19
transcript.pyannote[618].start 6648.44346875
transcript.pyannote[618].end 6649.25346875
transcript.pyannote[619].speaker SPEAKER_17
transcript.pyannote[619].start 6651.53159375
transcript.pyannote[619].end 6660.54284375
transcript.pyannote[620].speaker SPEAKER_17
transcript.pyannote[620].start 6660.67784375
transcript.pyannote[620].end 6665.68971875
transcript.pyannote[621].speaker SPEAKER_17
transcript.pyannote[621].start 6667.09034375
transcript.pyannote[621].end 6667.69784375
transcript.pyannote[622].speaker SPEAKER_13
transcript.pyannote[622].start 6667.52909375
transcript.pyannote[622].end 6667.96784375
transcript.pyannote[623].speaker SPEAKER_17
transcript.pyannote[623].start 6667.74846875
transcript.pyannote[623].end 6667.78221875
transcript.pyannote[624].speaker SPEAKER_17
transcript.pyannote[624].start 6667.96784375
transcript.pyannote[624].end 6672.20346875
transcript.pyannote[625].speaker SPEAKER_15
transcript.pyannote[625].start 6669.67221875
transcript.pyannote[625].end 6669.68909375
transcript.pyannote[626].speaker SPEAKER_13
transcript.pyannote[626].start 6669.68909375
transcript.pyannote[626].end 6670.88721875
transcript.pyannote[627].speaker SPEAKER_01
transcript.pyannote[627].start 6670.88721875
transcript.pyannote[627].end 6670.97159375
transcript.pyannote[628].speaker SPEAKER_17
transcript.pyannote[628].start 6672.33846875
transcript.pyannote[628].end 6684.85971875
transcript.pyannote[629].speaker SPEAKER_13
transcript.pyannote[629].start 6680.96159375
transcript.pyannote[629].end 6682.04159375
transcript.pyannote[630].speaker SPEAKER_13
transcript.pyannote[630].start 6683.52659375
transcript.pyannote[630].end 6706.98284375
transcript.pyannote[631].speaker SPEAKER_17
transcript.pyannote[631].start 6707.16846875
transcript.pyannote[631].end 6718.39034375
transcript.pyannote[632].speaker SPEAKER_17
transcript.pyannote[632].start 6718.62659375
transcript.pyannote[632].end 6737.93159375
transcript.pyannote[633].speaker SPEAKER_16
transcript.pyannote[633].start 6727.31721875
transcript.pyannote[633].end 6728.38034375
transcript.pyannote[634].speaker SPEAKER_13
transcript.pyannote[634].start 6737.93159375
transcript.pyannote[634].end 6744.66471875
transcript.pyannote[635].speaker SPEAKER_17
transcript.pyannote[635].start 6740.04096875
transcript.pyannote[635].end 6741.74534375
transcript.pyannote[636].speaker SPEAKER_17
transcript.pyannote[636].start 6742.45409375
transcript.pyannote[636].end 6743.70284375
transcript.pyannote[637].speaker SPEAKER_20
transcript.pyannote[637].start 6743.70284375
transcript.pyannote[637].end 6743.75346875
transcript.pyannote[638].speaker SPEAKER_17
transcript.pyannote[638].start 6744.32721875
transcript.pyannote[638].end 6744.96846875
transcript.pyannote[639].speaker SPEAKER_20
transcript.pyannote[639].start 6744.66471875
transcript.pyannote[639].end 6744.68159375
transcript.pyannote[640].speaker SPEAKER_20
transcript.pyannote[640].start 6744.96846875
transcript.pyannote[640].end 6746.43659375
transcript.pyannote[641].speaker SPEAKER_17
transcript.pyannote[641].start 6746.43659375
transcript.pyannote[641].end 6746.52096875
transcript.pyannote[642].speaker SPEAKER_20
transcript.pyannote[642].start 6746.68971875
transcript.pyannote[642].end 6747.02721875
transcript.pyannote[643].speaker SPEAKER_17
transcript.pyannote[643].start 6747.02721875
transcript.pyannote[643].end 6747.04409375
transcript.pyannote[644].speaker SPEAKER_20
transcript.pyannote[644].start 6747.04409375
transcript.pyannote[644].end 6747.12846875
transcript.pyannote[645].speaker SPEAKER_20
transcript.pyannote[645].start 6747.33096875
transcript.pyannote[645].end 6764.20596875
transcript.pyannote[646].speaker SPEAKER_20
transcript.pyannote[646].start 6764.93159375
transcript.pyannote[646].end 6769.94346875
transcript.pyannote[647].speaker SPEAKER_20
transcript.pyannote[647].start 6770.83784375
transcript.pyannote[647].end 6778.58346875
transcript.pyannote[648].speaker SPEAKER_15
transcript.pyannote[648].start 6778.58346875
transcript.pyannote[648].end 6779.56221875
transcript.pyannote[649].speaker SPEAKER_20
transcript.pyannote[649].start 6779.14034375
transcript.pyannote[649].end 6784.30409375
transcript.pyannote[650].speaker SPEAKER_20
transcript.pyannote[650].start 6784.97909375
transcript.pyannote[650].end 6786.32909375
transcript.pyannote[651].speaker SPEAKER_20
transcript.pyannote[651].start 6787.34159375
transcript.pyannote[651].end 6790.05846875
transcript.pyannote[652].speaker SPEAKER_11
transcript.pyannote[652].start 6791.56034375
transcript.pyannote[652].end 6793.58534375
transcript.pyannote[653].speaker SPEAKER_11
transcript.pyannote[653].start 6794.24346875
transcript.pyannote[653].end 6798.04034375
transcript.pyannote[654].speaker SPEAKER_11
transcript.pyannote[654].start 6798.59721875
transcript.pyannote[654].end 6823.23471875
transcript.pyannote[655].speaker SPEAKER_07
transcript.pyannote[655].start 6823.45409375
transcript.pyannote[655].end 6824.51721875
transcript.pyannote[656].speaker SPEAKER_11
transcript.pyannote[656].start 6824.51721875
transcript.pyannote[656].end 6844.12596875
transcript.pyannote[657].speaker SPEAKER_17
transcript.pyannote[657].start 6845.57721875
transcript.pyannote[657].end 6852.69846875
transcript.pyannote[658].speaker SPEAKER_15
transcript.pyannote[658].start 6855.83721875
transcript.pyannote[658].end 6855.85409375
transcript.pyannote[659].speaker SPEAKER_20
transcript.pyannote[659].start 6856.22534375
transcript.pyannote[659].end 6861.15284375
transcript.pyannote[660].speaker SPEAKER_20
transcript.pyannote[660].start 6861.94596875
transcript.pyannote[660].end 6862.43534375
transcript.pyannote[661].speaker SPEAKER_20
transcript.pyannote[661].start 6863.16096875
transcript.pyannote[661].end 6868.34159375
transcript.pyannote[662].speaker SPEAKER_20
transcript.pyannote[662].start 6869.23596875
transcript.pyannote[662].end 6902.58096875
transcript.pyannote[663].speaker SPEAKER_20
transcript.pyannote[663].start 6902.64846875
transcript.pyannote[663].end 6902.68221875
transcript.pyannote[664].speaker SPEAKER_20
transcript.pyannote[664].start 6903.08721875
transcript.pyannote[664].end 6903.76221875
transcript.pyannote[665].speaker SPEAKER_20
transcript.pyannote[665].start 6903.89721875
transcript.pyannote[665].end 6905.71971875
transcript.pyannote[666].speaker SPEAKER_20
transcript.pyannote[666].start 6905.98971875
transcript.pyannote[666].end 6918.40971875
transcript.pyannote[667].speaker SPEAKER_20
transcript.pyannote[667].start 6918.81471875
transcript.pyannote[667].end 6934.94721875
transcript.pyannote[668].speaker SPEAKER_20
transcript.pyannote[668].start 6935.97659375
transcript.pyannote[668].end 6953.03721875
transcript.pyannote[669].speaker SPEAKER_20
transcript.pyannote[669].start 6953.42534375
transcript.pyannote[669].end 6960.25971875
transcript.pyannote[670].speaker SPEAKER_15
transcript.pyannote[670].start 6960.25971875
transcript.pyannote[670].end 6961.69409375
transcript.pyannote[671].speaker SPEAKER_20
transcript.pyannote[671].start 6961.59284375
transcript.pyannote[671].end 6962.03159375
transcript.pyannote[672].speaker SPEAKER_17
transcript.pyannote[672].start 6962.03159375
transcript.pyannote[672].end 6974.04659375
transcript.pyannote[673].speaker SPEAKER_10
transcript.pyannote[673].start 6975.59909375
transcript.pyannote[673].end 6975.95346875
transcript.pyannote[674].speaker SPEAKER_10
transcript.pyannote[674].start 6975.97034375
transcript.pyannote[674].end 6976.02096875
transcript.pyannote[675].speaker SPEAKER_11
transcript.pyannote[675].start 6976.86471875
transcript.pyannote[675].end 6981.10034375
transcript.pyannote[676].speaker SPEAKER_11
transcript.pyannote[676].start 6981.89346875
transcript.pyannote[676].end 6996.37221875
transcript.pyannote[677].speaker SPEAKER_11
transcript.pyannote[677].start 6996.70971875
transcript.pyannote[677].end 6997.14846875
transcript.pyannote[678].speaker SPEAKER_11
transcript.pyannote[678].start 6997.73909375
transcript.pyannote[678].end 7024.48596875
transcript.pyannote[679].speaker SPEAKER_11
transcript.pyannote[679].start 7024.87409375
transcript.pyannote[679].end 7037.44596875
transcript.pyannote[680].speaker SPEAKER_11
transcript.pyannote[680].start 7038.34034375
transcript.pyannote[680].end 7050.69284375
transcript.pyannote[681].speaker SPEAKER_11
transcript.pyannote[681].start 7050.91221875
transcript.pyannote[681].end 7068.10784375
transcript.pyannote[682].speaker SPEAKER_11
transcript.pyannote[682].start 7068.88409375
transcript.pyannote[682].end 7102.36409375
transcript.pyannote[683].speaker SPEAKER_00
transcript.pyannote[683].start 7090.66971875
transcript.pyannote[683].end 7090.87221875
transcript.pyannote[684].speaker SPEAKER_11
transcript.pyannote[684].start 7102.56659375
transcript.pyannote[684].end 7112.87721875
transcript.pyannote[685].speaker SPEAKER_11
transcript.pyannote[685].start 7113.40034375
transcript.pyannote[685].end 7141.37909375
transcript.pyannote[686].speaker SPEAKER_11
transcript.pyannote[686].start 7141.95284375
transcript.pyannote[686].end 7152.29721875
transcript.pyannote[687].speaker SPEAKER_17
transcript.pyannote[687].start 7152.29721875
transcript.pyannote[687].end 7157.24159375
transcript.pyannote[688].speaker SPEAKER_05
transcript.pyannote[688].start 7160.65034375
transcript.pyannote[688].end 7175.73659375
transcript.pyannote[689].speaker SPEAKER_09
transcript.pyannote[689].start 7178.33534375
transcript.pyannote[689].end 7178.89221875
transcript.pyannote[690].speaker SPEAKER_05
transcript.pyannote[690].start 7181.23784375
transcript.pyannote[690].end 7183.75221875
transcript.pyannote[691].speaker SPEAKER_05
transcript.pyannote[691].start 7183.88721875
transcript.pyannote[691].end 7183.93784375
transcript.pyannote[692].speaker SPEAKER_17
transcript.pyannote[692].start 7183.93784375
transcript.pyannote[692].end 7188.56159375
transcript.pyannote[693].speaker SPEAKER_17
transcript.pyannote[693].start 7188.66284375
transcript.pyannote[693].end 7189.92846875
transcript.pyannote[694].speaker SPEAKER_06
transcript.pyannote[694].start 7191.00846875
transcript.pyannote[694].end 7228.84221875
transcript.pyannote[695].speaker SPEAKER_06
transcript.pyannote[695].start 7229.16284375
transcript.pyannote[695].end 7261.47846875
transcript.pyannote[696].speaker SPEAKER_06
transcript.pyannote[696].start 7261.78221875
transcript.pyannote[696].end 7267.04721875
transcript.pyannote[697].speaker SPEAKER_17
transcript.pyannote[697].start 7267.04721875
transcript.pyannote[697].end 7291.48221875
transcript.pyannote[698].speaker SPEAKER_06
transcript.pyannote[698].start 7267.30034375
transcript.pyannote[698].end 7267.70534375
transcript.pyannote[699].speaker SPEAKER_17
transcript.pyannote[699].start 7291.70159375
transcript.pyannote[699].end 7292.05596875
transcript.pyannote[700].speaker SPEAKER_09
transcript.pyannote[700].start 7292.64659375
transcript.pyannote[700].end 7335.47534375
transcript.pyannote[701].speaker SPEAKER_09
transcript.pyannote[701].start 7335.88034375
transcript.pyannote[701].end 7345.31346875
transcript.pyannote[702].speaker SPEAKER_09
transcript.pyannote[702].start 7346.22471875
transcript.pyannote[702].end 7346.76471875
transcript.pyannote[703].speaker SPEAKER_09
transcript.pyannote[703].start 7347.25409375
transcript.pyannote[703].end 7373.35971875
transcript.pyannote[704].speaker SPEAKER_09
transcript.pyannote[704].start 7373.98409375
transcript.pyannote[704].end 7420.64346875
transcript.pyannote[705].speaker SPEAKER_17
transcript.pyannote[705].start 7421.25096875
transcript.pyannote[705].end 7423.22534375
transcript.pyannote[706].speaker SPEAKER_17
transcript.pyannote[706].start 7423.47846875
transcript.pyannote[706].end 7424.94659375
transcript.pyannote[707].speaker SPEAKER_20
transcript.pyannote[707].start 7424.94659375
transcript.pyannote[707].end 7424.99721875
transcript.pyannote[708].speaker SPEAKER_20
transcript.pyannote[708].start 7425.67221875
transcript.pyannote[708].end 7425.70596875
transcript.pyannote[709].speaker SPEAKER_17
transcript.pyannote[709].start 7425.70596875
transcript.pyannote[709].end 7425.97596875
transcript.pyannote[710].speaker SPEAKER_20
transcript.pyannote[710].start 7425.97596875
transcript.pyannote[710].end 7426.24596875
transcript.pyannote[711].speaker SPEAKER_20
transcript.pyannote[711].start 7428.01784375
transcript.pyannote[711].end 7429.70534375
transcript.pyannote[712].speaker SPEAKER_20
transcript.pyannote[712].start 7429.97534375
transcript.pyannote[712].end 7436.55659375
transcript.pyannote[713].speaker SPEAKER_20
transcript.pyannote[713].start 7436.64096875
transcript.pyannote[713].end 7442.10846875
transcript.pyannote[714].speaker SPEAKER_15
transcript.pyannote[714].start 7441.80471875
transcript.pyannote[714].end 7442.74971875
transcript.pyannote[715].speaker SPEAKER_20
transcript.pyannote[715].start 7442.63159375
transcript.pyannote[715].end 7445.28096875
transcript.pyannote[716].speaker SPEAKER_20
transcript.pyannote[716].start 7445.80409375
transcript.pyannote[716].end 7449.73596875
transcript.pyannote[717].speaker SPEAKER_20
transcript.pyannote[717].start 7449.93846875
transcript.pyannote[717].end 7462.69596875
transcript.pyannote[718].speaker SPEAKER_20
transcript.pyannote[718].start 7463.33721875
transcript.pyannote[718].end 7469.49659375
transcript.pyannote[719].speaker SPEAKER_20
transcript.pyannote[719].start 7469.86784375
transcript.pyannote[719].end 7486.75971875
transcript.pyannote[720].speaker SPEAKER_20
transcript.pyannote[720].start 7487.38409375
transcript.pyannote[720].end 7496.20971875
transcript.pyannote[721].speaker SPEAKER_17
transcript.pyannote[721].start 7498.09971875
transcript.pyannote[721].end 7498.11659375
transcript.pyannote[722].speaker SPEAKER_20
transcript.pyannote[722].start 7498.11659375
transcript.pyannote[722].end 7499.02784375
transcript.pyannote[723].speaker SPEAKER_17
transcript.pyannote[723].start 7499.02784375
transcript.pyannote[723].end 7507.97159375
transcript.pyannote[724].speaker SPEAKER_20
transcript.pyannote[724].start 7507.97159375
transcript.pyannote[724].end 7515.22784375
transcript.pyannote[725].speaker SPEAKER_17
transcript.pyannote[725].start 7509.35534375
transcript.pyannote[725].end 7509.96284375
transcript.pyannote[726].speaker SPEAKER_08
transcript.pyannote[726].start 7509.96284375
transcript.pyannote[726].end 7510.01346875
transcript.pyannote[727].speaker SPEAKER_17
transcript.pyannote[727].start 7510.01346875
transcript.pyannote[727].end 7510.03034375
transcript.pyannote[728].speaker SPEAKER_08
transcript.pyannote[728].start 7515.22784375
transcript.pyannote[728].end 7516.32471875
transcript.pyannote[729].speaker SPEAKER_20
transcript.pyannote[729].start 7515.24471875
transcript.pyannote[729].end 7515.39659375
transcript.pyannote[730].speaker SPEAKER_20
transcript.pyannote[730].start 7516.25721875
transcript.pyannote[730].end 7516.27409375
transcript.pyannote[731].speaker SPEAKER_17
transcript.pyannote[731].start 7516.32471875
transcript.pyannote[731].end 7516.40909375
transcript.pyannote[732].speaker SPEAKER_20
transcript.pyannote[732].start 7516.40909375
transcript.pyannote[732].end 7517.03346875
transcript.pyannote[733].speaker SPEAKER_17
transcript.pyannote[733].start 7517.03346875
transcript.pyannote[733].end 7518.95721875
transcript.pyannote[734].speaker SPEAKER_17
transcript.pyannote[734].start 7520.62784375
transcript.pyannote[734].end 7528.47471875
transcript.pyannote[735].speaker SPEAKER_17
transcript.pyannote[735].start 7528.72784375
transcript.pyannote[735].end 7529.23409375
transcript.pyannote[736].speaker SPEAKER_08
transcript.pyannote[736].start 7528.86284375
transcript.pyannote[736].end 7530.04409375
transcript.pyannote[737].speaker SPEAKER_17
transcript.pyannote[737].start 7529.80784375
transcript.pyannote[737].end 7531.42784375
transcript.pyannote[738].speaker SPEAKER_17
transcript.pyannote[738].start 7534.49909375
transcript.pyannote[738].end 7535.93346875
transcript.pyannote[739].speaker SPEAKER_17
transcript.pyannote[739].start 7536.25409375
transcript.pyannote[739].end 7561.63409375
transcript.pyannote[740].speaker SPEAKER_17
transcript.pyannote[740].start 7562.61284375
transcript.pyannote[740].end 7563.67596875
transcript.pyannote[741].speaker SPEAKER_17
transcript.pyannote[741].start 7564.53659375
transcript.pyannote[741].end 7566.42659375
transcript.pyannote[742].speaker SPEAKER_19
transcript.pyannote[742].start 7569.64971875
transcript.pyannote[742].end 7615.34721875
transcript.pyannote[743].speaker SPEAKER_17
transcript.pyannote[743].start 7618.45221875
transcript.pyannote[743].end 7618.48596875
transcript.pyannote[744].speaker SPEAKER_18
transcript.pyannote[744].start 7618.48596875
transcript.pyannote[744].end 7620.05534375
transcript.pyannote[745].speaker SPEAKER_18
transcript.pyannote[745].start 7621.96221875
transcript.pyannote[745].end 7623.63284375
transcript.pyannote[746].speaker SPEAKER_06
transcript.pyannote[746].start 7624.62846875
transcript.pyannote[746].end 7721.98034375
transcript.pyannote[747].speaker SPEAKER_06
transcript.pyannote[747].start 7722.58784375
transcript.pyannote[747].end 7730.92409375
transcript.pyannote[748].speaker SPEAKER_06
transcript.pyannote[748].start 7731.27846875
transcript.pyannote[748].end 7731.31221875
transcript.pyannote[749].speaker SPEAKER_17
transcript.pyannote[749].start 7731.31221875
transcript.pyannote[749].end 7732.40909375
transcript.pyannote[750].speaker SPEAKER_17
transcript.pyannote[750].start 7732.98284375
transcript.pyannote[750].end 7735.63221875
transcript.pyannote[751].speaker SPEAKER_17
transcript.pyannote[751].start 7736.30721875
transcript.pyannote[751].end 7738.19721875
transcript.pyannote[752].speaker SPEAKER_03
transcript.pyannote[752].start 7739.09159375
transcript.pyannote[752].end 7754.71784375
transcript.pyannote[753].speaker SPEAKER_03
transcript.pyannote[753].start 7754.75159375
transcript.pyannote[753].end 7756.11846875
transcript.pyannote[754].speaker SPEAKER_03
transcript.pyannote[754].start 7756.23659375
transcript.pyannote[754].end 7759.02096875
transcript.pyannote[755].speaker SPEAKER_17
transcript.pyannote[755].start 7759.44284375
transcript.pyannote[755].end 7804.98846875
transcript.pyannote[756].speaker SPEAKER_17
transcript.pyannote[756].start 7805.25846875
transcript.pyannote[756].end 7843.64909375
transcript.pyannote[757].speaker SPEAKER_20
transcript.pyannote[757].start 7846.77096875
transcript.pyannote[757].end 7856.03534375
transcript.pyannote[758].speaker SPEAKER_20
transcript.pyannote[758].start 7856.52471875
transcript.pyannote[758].end 7861.28346875
transcript.pyannote[759].speaker SPEAKER_15
transcript.pyannote[759].start 7861.28346875
transcript.pyannote[759].end 7861.51971875
transcript.pyannote[760].speaker SPEAKER_20
transcript.pyannote[760].start 7861.51971875
transcript.pyannote[760].end 7868.18534375
transcript.pyannote[761].speaker SPEAKER_20
transcript.pyannote[761].start 7868.97846875
transcript.pyannote[761].end 7871.13846875
transcript.pyannote[762].speaker SPEAKER_20
transcript.pyannote[762].start 7872.10034375
transcript.pyannote[762].end 7873.11284375
transcript.pyannote[763].speaker SPEAKER_20
transcript.pyannote[763].start 7873.60221875
transcript.pyannote[763].end 7873.87221875
transcript.pyannote[764].speaker SPEAKER_20
transcript.pyannote[764].start 7874.47971875
transcript.pyannote[764].end 7883.00159375
transcript.pyannote[765].speaker SPEAKER_20
transcript.pyannote[765].start 7883.82846875
transcript.pyannote[765].end 7884.60471875
transcript.pyannote[766].speaker SPEAKER_10
transcript.pyannote[766].start 7884.75659375
transcript.pyannote[766].end 7887.76034375
transcript.pyannote[767].speaker SPEAKER_18
transcript.pyannote[767].start 7887.76034375
transcript.pyannote[767].end 7888.75596875
transcript.pyannote[768].speaker SPEAKER_18
transcript.pyannote[768].start 7888.84034375
transcript.pyannote[768].end 7888.90784375
transcript.pyannote[769].speaker SPEAKER_17
transcript.pyannote[769].start 7888.90784375
transcript.pyannote[769].end 7906.86284375
transcript.pyannote[770].speaker SPEAKER_16
transcript.pyannote[770].start 7912.36409375
transcript.pyannote[770].end 7913.10659375
transcript.pyannote[771].speaker SPEAKER_16
transcript.pyannote[771].start 7914.40596875
transcript.pyannote[771].end 7914.84471875
transcript.pyannote[772].speaker SPEAKER_16
transcript.pyannote[772].start 7916.97096875
transcript.pyannote[772].end 7920.86909375
transcript.pyannote[773].speaker SPEAKER_06
transcript.pyannote[773].start 7921.27409375
transcript.pyannote[773].end 7977.38346875
transcript.pyannote[774].speaker SPEAKER_05
transcript.pyannote[774].start 7921.66221875
transcript.pyannote[774].end 7921.69596875
transcript.pyannote[775].speaker SPEAKER_11
transcript.pyannote[775].start 7981.80471875
transcript.pyannote[775].end 7983.50909375
transcript.pyannote[776].speaker SPEAKER_11
transcript.pyannote[776].start 7984.04909375
transcript.pyannote[776].end 7984.57221875
transcript.pyannote[777].speaker SPEAKER_11
transcript.pyannote[777].start 7985.26409375
transcript.pyannote[777].end 7986.46221875
transcript.pyannote[778].speaker SPEAKER_11
transcript.pyannote[778].start 7986.68159375
transcript.pyannote[778].end 7989.85409375
transcript.pyannote[779].speaker SPEAKER_11
transcript.pyannote[779].start 7990.03971875
transcript.pyannote[779].end 8007.55596875
transcript.pyannote[780].speaker SPEAKER_08
transcript.pyannote[780].start 7995.08534375
transcript.pyannote[780].end 7995.42284375
transcript.pyannote[781].speaker SPEAKER_11
transcript.pyannote[781].start 8007.94409375
transcript.pyannote[781].end 8010.23909375
transcript.pyannote[782].speaker SPEAKER_11
transcript.pyannote[782].start 8010.34034375
transcript.pyannote[782].end 8017.09034375
transcript.pyannote[783].speaker SPEAKER_11
transcript.pyannote[783].start 8017.15784375
transcript.pyannote[783].end 8049.28784375
transcript.pyannote[784].speaker SPEAKER_11
transcript.pyannote[784].start 8050.19909375
transcript.pyannote[784].end 8051.41409375
transcript.pyannote[785].speaker SPEAKER_11
transcript.pyannote[785].start 8052.15659375
transcript.pyannote[785].end 8052.47721875
transcript.pyannote[786].speaker SPEAKER_11
transcript.pyannote[786].start 8053.37159375
transcript.pyannote[786].end 8057.43846875
transcript.pyannote[787].speaker SPEAKER_11
transcript.pyannote[787].start 8057.97846875
transcript.pyannote[787].end 8103.49034375
transcript.pyannote[788].speaker SPEAKER_11
transcript.pyannote[788].start 8104.09784375
transcript.pyannote[788].end 8119.35284375
transcript.pyannote[789].speaker SPEAKER_11
transcript.pyannote[789].start 8119.94346875
transcript.pyannote[789].end 8120.61846875
transcript.pyannote[790].speaker SPEAKER_11
transcript.pyannote[790].start 8121.19221875
transcript.pyannote[790].end 8128.80284375
transcript.pyannote[791].speaker SPEAKER_11
transcript.pyannote[791].start 8130.33846875
transcript.pyannote[791].end 8131.51971875
transcript.pyannote[792].speaker SPEAKER_18
transcript.pyannote[792].start 8130.91221875
transcript.pyannote[792].end 8133.20721875
transcript.pyannote[793].speaker SPEAKER_11
transcript.pyannote[793].start 8133.20721875
transcript.pyannote[793].end 8135.02971875
transcript.pyannote[794].speaker SPEAKER_15
transcript.pyannote[794].start 8135.31659375
transcript.pyannote[794].end 8135.35034375
transcript.pyannote[795].speaker SPEAKER_11
transcript.pyannote[795].start 8135.35034375
transcript.pyannote[795].end 8149.33971875
transcript.pyannote[796].speaker SPEAKER_11
transcript.pyannote[796].start 8150.33534375
transcript.pyannote[796].end 8157.00096875
transcript.pyannote[797].speaker SPEAKER_11
transcript.pyannote[797].start 8157.42284375
transcript.pyannote[797].end 8159.65034375
transcript.pyannote[798].speaker SPEAKER_15
transcript.pyannote[798].start 8159.65034375
transcript.pyannote[798].end 8160.00471875
transcript.pyannote[799].speaker SPEAKER_17
transcript.pyannote[799].start 8162.58659375
transcript.pyannote[799].end 8163.56534375
transcript.pyannote[800].speaker SPEAKER_17
transcript.pyannote[800].start 8163.83534375
transcript.pyannote[800].end 8165.30346875
transcript.pyannote[801].speaker SPEAKER_17
transcript.pyannote[801].start 8165.72534375
transcript.pyannote[801].end 8166.72096875
transcript.pyannote[802].speaker SPEAKER_15
transcript.pyannote[802].start 8167.56471875
transcript.pyannote[802].end 8167.81784375
transcript.pyannote[803].speaker SPEAKER_17
transcript.pyannote[803].start 8168.62784375
transcript.pyannote[803].end 8168.64471875
transcript.pyannote[804].speaker SPEAKER_01
transcript.pyannote[804].start 8168.64471875
transcript.pyannote[804].end 8169.13409375
transcript.pyannote[805].speaker SPEAKER_01
transcript.pyannote[805].start 8169.57284375
transcript.pyannote[805].end 8173.30221875
transcript.pyannote[806].speaker SPEAKER_01
transcript.pyannote[806].start 8173.42034375
transcript.pyannote[806].end 8177.80784375
transcript.pyannote[807].speaker SPEAKER_01
transcript.pyannote[807].start 8178.36471875
transcript.pyannote[807].end 8181.77346875
transcript.pyannote[808].speaker SPEAKER_01
transcript.pyannote[808].start 8182.17846875
transcript.pyannote[808].end 8185.57034375
transcript.pyannote[809].speaker SPEAKER_01
transcript.pyannote[809].start 8186.14409375
transcript.pyannote[809].end 8188.65846875
transcript.pyannote[810].speaker SPEAKER_01
transcript.pyannote[810].start 8189.21534375
transcript.pyannote[810].end 8193.24846875
transcript.pyannote[811].speaker SPEAKER_01
transcript.pyannote[811].start 8193.58596875
transcript.pyannote[811].end 8197.56846875
transcript.pyannote[812].speaker SPEAKER_01
transcript.pyannote[812].start 8198.53034375
transcript.pyannote[812].end 8199.74534375
transcript.pyannote[813].speaker SPEAKER_01
transcript.pyannote[813].start 8200.60596875
transcript.pyannote[813].end 8203.28909375
transcript.pyannote[814].speaker SPEAKER_01
transcript.pyannote[814].start 8204.08221875
transcript.pyannote[814].end 8208.11534375
transcript.pyannote[815].speaker SPEAKER_01
transcript.pyannote[815].start 8208.58784375
transcript.pyannote[815].end 8211.45659375
transcript.pyannote[816].speaker SPEAKER_01
transcript.pyannote[816].start 8211.94596875
transcript.pyannote[816].end 8213.05971875
transcript.pyannote[817].speaker SPEAKER_01
transcript.pyannote[817].start 8213.34659375
transcript.pyannote[817].end 8214.17346875
transcript.pyannote[818].speaker SPEAKER_01
transcript.pyannote[818].start 8214.34221875
transcript.pyannote[818].end 8215.37159375
transcript.pyannote[819].speaker SPEAKER_01
transcript.pyannote[819].start 8215.75971875
transcript.pyannote[819].end 8216.16471875
transcript.pyannote[820].speaker SPEAKER_01
transcript.pyannote[820].start 8217.12659375
transcript.pyannote[820].end 8218.61159375
transcript.pyannote[821].speaker SPEAKER_01
transcript.pyannote[821].start 8218.81409375
transcript.pyannote[821].end 8219.13471875
transcript.pyannote[822].speaker SPEAKER_01
transcript.pyannote[822].start 8219.64096875
transcript.pyannote[822].end 8220.95721875
transcript.pyannote[823].speaker SPEAKER_01
transcript.pyannote[823].start 8220.97409375
transcript.pyannote[823].end 8224.48409375
transcript.pyannote[824].speaker SPEAKER_01
transcript.pyannote[824].start 8224.70346875
transcript.pyannote[824].end 8225.07471875
transcript.pyannote[825].speaker SPEAKER_01
transcript.pyannote[825].start 8225.44596875
transcript.pyannote[825].end 8230.93034375
transcript.pyannote[826].speaker SPEAKER_01
transcript.pyannote[826].start 8231.33534375
transcript.pyannote[826].end 8232.80346875
transcript.pyannote[827].speaker SPEAKER_01
transcript.pyannote[827].start 8233.25909375
transcript.pyannote[827].end 8234.10284375
transcript.pyannote[828].speaker SPEAKER_01
transcript.pyannote[828].start 8234.23784375
transcript.pyannote[828].end 8241.76409375
transcript.pyannote[829].speaker SPEAKER_01
transcript.pyannote[829].start 8243.45159375
transcript.pyannote[829].end 8244.32909375
transcript.pyannote[830].speaker SPEAKER_01
transcript.pyannote[830].start 8244.34596875
transcript.pyannote[830].end 8245.76346875
transcript.pyannote[831].speaker SPEAKER_01
transcript.pyannote[831].start 8246.10096875
transcript.pyannote[831].end 8251.41659375
transcript.pyannote[832].speaker SPEAKER_01
transcript.pyannote[832].start 8251.55159375
transcript.pyannote[832].end 8252.10846875
transcript.pyannote[833].speaker SPEAKER_01
transcript.pyannote[833].start 8252.63159375
transcript.pyannote[833].end 8254.16721875
transcript.pyannote[834].speaker SPEAKER_01
transcript.pyannote[834].start 8254.63971875
transcript.pyannote[834].end 8255.66909375
transcript.pyannote[835].speaker SPEAKER_01
transcript.pyannote[835].start 8255.97284375
transcript.pyannote[835].end 8257.39034375
transcript.pyannote[836].speaker SPEAKER_01
transcript.pyannote[836].start 8257.67721875
transcript.pyannote[836].end 8259.01034375
transcript.pyannote[837].speaker SPEAKER_01
transcript.pyannote[837].start 8259.49971875
transcript.pyannote[837].end 8262.72284375
transcript.pyannote[838].speaker SPEAKER_01
transcript.pyannote[838].start 8262.95909375
transcript.pyannote[838].end 8276.69534375
transcript.pyannote[839].speaker SPEAKER_01
transcript.pyannote[839].start 8276.83034375
transcript.pyannote[839].end 8285.57159375
transcript.pyannote[840].speaker SPEAKER_01
transcript.pyannote[840].start 8286.66846875
transcript.pyannote[840].end 8290.27971875
transcript.pyannote[841].speaker SPEAKER_01
transcript.pyannote[841].start 8290.85346875
transcript.pyannote[841].end 8298.83534375
transcript.pyannote[842].speaker SPEAKER_08
transcript.pyannote[842].start 8293.18221875
transcript.pyannote[842].end 8293.97534375
transcript.pyannote[843].speaker SPEAKER_01
transcript.pyannote[843].start 8299.17284375
transcript.pyannote[843].end 8314.25909375
transcript.pyannote[844].speaker SPEAKER_01
transcript.pyannote[844].start 8314.64721875
transcript.pyannote[844].end 8316.43596875
transcript.pyannote[845].speaker SPEAKER_01
transcript.pyannote[845].start 8317.26284375
transcript.pyannote[845].end 8319.67596875
transcript.pyannote[846].speaker SPEAKER_01
transcript.pyannote[846].start 8319.96284375
transcript.pyannote[846].end 8335.77471875
transcript.pyannote[847].speaker SPEAKER_01
transcript.pyannote[847].start 8337.24284375
transcript.pyannote[847].end 8338.87971875
transcript.pyannote[848].speaker SPEAKER_01
transcript.pyannote[848].start 8339.80784375
transcript.pyannote[848].end 8340.21284375
transcript.pyannote[849].speaker SPEAKER_01
transcript.pyannote[849].start 8340.61784375
transcript.pyannote[849].end 8342.37284375
transcript.pyannote[850].speaker SPEAKER_01
transcript.pyannote[850].start 8343.25034375
transcript.pyannote[850].end 8343.87471875
transcript.pyannote[851].speaker SPEAKER_01
transcript.pyannote[851].start 8344.41471875
transcript.pyannote[851].end 8395.66409375
transcript.pyannote[852].speaker SPEAKER_08
transcript.pyannote[852].start 8373.42284375
transcript.pyannote[852].end 8373.79409375
transcript.pyannote[853].speaker SPEAKER_17
transcript.pyannote[853].start 8395.29284375
transcript.pyannote[853].end 8397.52034375
transcript.pyannote[854].speaker SPEAKER_01
transcript.pyannote[854].start 8396.57534375
transcript.pyannote[854].end 8398.04346875
transcript.pyannote[855].speaker SPEAKER_17
transcript.pyannote[855].start 8398.04346875
transcript.pyannote[855].end 8406.54846875
transcript.pyannote[856].speaker SPEAKER_01
transcript.pyannote[856].start 8406.63284375
transcript.pyannote[856].end 8422.54596875
transcript.pyannote[857].speaker SPEAKER_17
transcript.pyannote[857].start 8416.79159375
transcript.pyannote[857].end 8416.80846875
transcript.pyannote[858].speaker SPEAKER_15
transcript.pyannote[858].start 8416.80846875
transcript.pyannote[858].end 8418.41159375
transcript.pyannote[859].speaker SPEAKER_15
transcript.pyannote[859].start 8420.58846875
transcript.pyannote[859].end 8423.28846875
transcript.pyannote[860].speaker SPEAKER_08
transcript.pyannote[860].start 8423.28846875
transcript.pyannote[860].end 8423.47409375
transcript.pyannote[861].speaker SPEAKER_01
transcript.pyannote[861].start 8423.47409375
transcript.pyannote[861].end 8430.54471875
transcript.pyannote[862].speaker SPEAKER_15
transcript.pyannote[862].start 8423.50784375
transcript.pyannote[862].end 8423.59221875
transcript.pyannote[863].speaker SPEAKER_08
transcript.pyannote[863].start 8423.59221875
transcript.pyannote[863].end 8423.69346875
transcript.pyannote[864].speaker SPEAKER_15
transcript.pyannote[864].start 8423.69346875
transcript.pyannote[864].end 8423.92971875
transcript.pyannote[865].speaker SPEAKER_17
transcript.pyannote[865].start 8429.16096875
transcript.pyannote[865].end 8430.08909375
transcript.pyannote[866].speaker SPEAKER_17
transcript.pyannote[866].start 8430.54471875
transcript.pyannote[866].end 8436.65346875
transcript.pyannote[867].speaker SPEAKER_01
transcript.pyannote[867].start 8432.08034375
transcript.pyannote[867].end 8434.89846875
transcript.pyannote[868].speaker SPEAKER_01
transcript.pyannote[868].start 8436.06284375
transcript.pyannote[868].end 8442.52596875
transcript.pyannote[869].speaker SPEAKER_17
transcript.pyannote[869].start 8441.74971875
transcript.pyannote[869].end 8447.97659375
transcript.pyannote[870].speaker SPEAKER_20
transcript.pyannote[870].start 8447.97659375
transcript.pyannote[870].end 8461.57784375
transcript.pyannote[871].speaker SPEAKER_15
transcript.pyannote[871].start 8461.59471875
transcript.pyannote[871].end 8461.62846875
transcript.pyannote[872].speaker SPEAKER_15
transcript.pyannote[872].start 8461.83096875
transcript.pyannote[872].end 8465.52659375
transcript.pyannote[873].speaker SPEAKER_20
transcript.pyannote[873].start 8463.48471875
transcript.pyannote[873].end 8475.41534375
transcript.pyannote[874].speaker SPEAKER_15
transcript.pyannote[874].start 8466.48846875
transcript.pyannote[874].end 8469.20534375
transcript.pyannote[875].speaker SPEAKER_15
transcript.pyannote[875].start 8475.41534375
transcript.pyannote[875].end 8476.03971875
transcript.pyannote[876].speaker SPEAKER_20
transcript.pyannote[876].start 8475.44909375
transcript.pyannote[876].end 8476.02284375
transcript.pyannote[877].speaker SPEAKER_17
transcript.pyannote[877].start 8476.02284375
transcript.pyannote[877].end 8504.27159375
transcript.pyannote[878].speaker SPEAKER_17
transcript.pyannote[878].start 8504.28846875
transcript.pyannote[878].end 8504.30534375
transcript.pyannote[879].speaker SPEAKER_17
transcript.pyannote[879].start 8504.33909375
transcript.pyannote[879].end 8591.71784375
transcript.pyannote[880].speaker SPEAKER_17
transcript.pyannote[880].start 8591.76846875
transcript.pyannote[880].end 8591.78534375
transcript.pyannote[881].speaker SPEAKER_08
transcript.pyannote[881].start 8591.78534375
transcript.pyannote[881].end 8592.84846875
transcript.pyannote[882].speaker SPEAKER_17
transcript.pyannote[882].start 8591.83596875
transcript.pyannote[882].end 8591.88659375
transcript.pyannote[883].speaker SPEAKER_17
transcript.pyannote[883].start 8592.52784375
transcript.pyannote[883].end 8599.26096875
transcript.pyannote[884].speaker SPEAKER_17
transcript.pyannote[884].start 8600.57721875
transcript.pyannote[884].end 8600.96534375
transcript.pyannote[885].speaker SPEAKER_19
transcript.pyannote[885].start 8600.96534375
transcript.pyannote[885].end 8648.41784375
transcript.pyannote[886].speaker SPEAKER_06
transcript.pyannote[886].start 8651.20221875
transcript.pyannote[886].end 8706.97409375
transcript.pyannote[887].speaker SPEAKER_17
transcript.pyannote[887].start 8706.87284375
transcript.pyannote[887].end 8706.90659375
transcript.pyannote[888].speaker SPEAKER_17
transcript.pyannote[888].start 8706.97409375
transcript.pyannote[888].end 8721.89159375
transcript.pyannote[889].speaker SPEAKER_06
transcript.pyannote[889].start 8707.78409375
transcript.pyannote[889].end 8709.67409375
transcript.pyannote[890].speaker SPEAKER_06
transcript.pyannote[890].start 8710.06221875
transcript.pyannote[890].end 8711.02409375
transcript.pyannote[891].speaker SPEAKER_13
transcript.pyannote[891].start 8722.04346875
transcript.pyannote[891].end 8740.94346875
transcript.pyannote[892].speaker SPEAKER_17
transcript.pyannote[892].start 8742.86721875
transcript.pyannote[892].end 8744.48721875
transcript.pyannote[893].speaker SPEAKER_00
transcript.pyannote[893].start 8744.63909375
transcript.pyannote[893].end 8780.07659375
transcript.pyannote[894].speaker SPEAKER_17
transcript.pyannote[894].start 8781.46034375
transcript.pyannote[894].end 8794.65659375
transcript.pyannote[895].speaker SPEAKER_17
transcript.pyannote[895].start 8794.69034375
transcript.pyannote[895].end 8794.72409375
transcript.pyannote[896].speaker SPEAKER_20
transcript.pyannote[896].start 8794.72409375
transcript.pyannote[896].end 8794.90971875
transcript.pyannote[897].speaker SPEAKER_17
transcript.pyannote[897].start 8794.90971875
transcript.pyannote[897].end 8795.02784375
transcript.pyannote[898].speaker SPEAKER_20
transcript.pyannote[898].start 8795.02784375
transcript.pyannote[898].end 8854.41096875
transcript.pyannote[899].speaker SPEAKER_20
transcript.pyannote[899].start 8854.73159375
transcript.pyannote[899].end 8857.12784375
transcript.pyannote[900].speaker SPEAKER_20
transcript.pyannote[900].start 8857.41471875
transcript.pyannote[900].end 8862.02159375
transcript.pyannote[901].speaker SPEAKER_04
transcript.pyannote[901].start 8857.46534375
transcript.pyannote[901].end 8857.93784375
transcript.pyannote[902].speaker SPEAKER_20
transcript.pyannote[902].start 8863.06784375
transcript.pyannote[902].end 8864.53596875
transcript.pyannote[903].speaker SPEAKER_20
transcript.pyannote[903].start 8865.27846875
transcript.pyannote[903].end 8877.10784375
transcript.pyannote[904].speaker SPEAKER_17
transcript.pyannote[904].start 8878.08659375
transcript.pyannote[904].end 8878.10346875
transcript.pyannote[905].speaker SPEAKER_20
transcript.pyannote[905].start 8878.10346875
transcript.pyannote[905].end 8879.03159375
transcript.pyannote[906].speaker SPEAKER_17
transcript.pyannote[906].start 8879.03159375
transcript.pyannote[906].end 8897.79659375
transcript.pyannote[907].speaker SPEAKER_17
transcript.pyannote[907].start 8898.16784375
transcript.pyannote[907].end 8941.78971875
transcript.pyannote[908].speaker SPEAKER_03
transcript.pyannote[908].start 8945.33346875
transcript.pyannote[908].end 8955.74534375
transcript.pyannote[909].speaker SPEAKER_03
transcript.pyannote[909].start 8956.15034375
transcript.pyannote[909].end 8987.58846875
transcript.pyannote[910].speaker SPEAKER_05
transcript.pyannote[910].start 8991.52034375
transcript.pyannote[910].end 9006.43784375
transcript.pyannote[911].speaker SPEAKER_05
transcript.pyannote[911].start 9008.83409375
transcript.pyannote[911].end 9008.85096875
transcript.pyannote[912].speaker SPEAKER_17
transcript.pyannote[912].start 9008.85096875
transcript.pyannote[912].end 9023.31284375
transcript.pyannote[913].speaker SPEAKER_17
transcript.pyannote[913].start 9023.49846875
transcript.pyannote[913].end 9024.59534375
transcript.pyannote[914].speaker SPEAKER_11
transcript.pyannote[914].start 9024.84846875
transcript.pyannote[914].end 9035.96909375
transcript.pyannote[915].speaker SPEAKER_11
transcript.pyannote[915].start 9036.30659375
transcript.pyannote[915].end 9048.84471875
transcript.pyannote[916].speaker SPEAKER_11
transcript.pyannote[916].start 9049.08096875
transcript.pyannote[916].end 9052.18596875
transcript.pyannote[917].speaker SPEAKER_11
transcript.pyannote[917].start 9052.40534375
transcript.pyannote[917].end 9074.41034375
transcript.pyannote[918].speaker SPEAKER_11
transcript.pyannote[918].start 9075.01784375
transcript.pyannote[918].end 9123.12846875
transcript.pyannote[919].speaker SPEAKER_11
transcript.pyannote[919].start 9123.88784375
transcript.pyannote[919].end 9153.58784375
transcript.pyannote[920].speaker SPEAKER_11
transcript.pyannote[920].start 9154.73534375
transcript.pyannote[920].end 9162.27846875
transcript.pyannote[921].speaker SPEAKER_11
transcript.pyannote[921].start 9163.27409375
transcript.pyannote[921].end 9200.97284375
transcript.pyannote[922].speaker SPEAKER_17
transcript.pyannote[922].start 9200.97284375
transcript.pyannote[922].end 9204.31409375
transcript.pyannote[923].speaker SPEAKER_11
transcript.pyannote[923].start 9203.63909375
transcript.pyannote[923].end 9207.60471875
transcript.pyannote[924].speaker SPEAKER_11
transcript.pyannote[924].start 9208.41471875
transcript.pyannote[924].end 9235.31346875
transcript.pyannote[925].speaker SPEAKER_17
transcript.pyannote[925].start 9235.11096875
transcript.pyannote[925].end 9249.01596875
transcript.pyannote[926].speaker SPEAKER_17
transcript.pyannote[926].start 9249.69096875
transcript.pyannote[926].end 9251.68221875
transcript.pyannote[927].speaker SPEAKER_17
transcript.pyannote[927].start 9252.94784375
transcript.pyannote[927].end 9258.41534375
transcript.pyannote[928].speaker SPEAKER_17
transcript.pyannote[928].start 9258.92159375
transcript.pyannote[928].end 9259.73159375
transcript.pyannote[929].speaker SPEAKER_15
transcript.pyannote[929].start 9259.10721875
transcript.pyannote[929].end 9259.14096875
transcript.pyannote[930].speaker SPEAKER_06
transcript.pyannote[930].start 9259.14096875
transcript.pyannote[930].end 9259.15784375
transcript.pyannote[931].speaker SPEAKER_15
transcript.pyannote[931].start 9259.15784375
transcript.pyannote[931].end 9259.68096875
transcript.pyannote[932].speaker SPEAKER_06
transcript.pyannote[932].start 9259.68096875
transcript.pyannote[932].end 9337.13721875
transcript.pyannote[933].speaker SPEAKER_17
transcript.pyannote[933].start 9338.63909375
transcript.pyannote[933].end 9339.60096875
transcript.pyannote[934].speaker SPEAKER_17
transcript.pyannote[934].start 9339.61784375
transcript.pyannote[934].end 9340.96784375
transcript.pyannote[935].speaker SPEAKER_03
transcript.pyannote[935].start 9340.96784375
transcript.pyannote[935].end 9342.53721875
transcript.pyannote[936].speaker SPEAKER_17
transcript.pyannote[936].start 9342.62159375
transcript.pyannote[936].end 9344.22471875
transcript.pyannote[937].speaker SPEAKER_03
transcript.pyannote[937].start 9343.07721875
transcript.pyannote[937].end 9343.66784375
transcript.pyannote[938].speaker SPEAKER_03
transcript.pyannote[938].start 9344.22471875
transcript.pyannote[938].end 9351.59909375
transcript.pyannote[939].speaker SPEAKER_11
transcript.pyannote[939].start 9352.62846875
transcript.pyannote[939].end 9357.50534375
transcript.pyannote[940].speaker SPEAKER_18
transcript.pyannote[940].start 9357.77534375
transcript.pyannote[940].end 9357.79221875
transcript.pyannote[941].speaker SPEAKER_17
transcript.pyannote[941].start 9357.79221875
transcript.pyannote[941].end 9357.80909375
transcript.pyannote[942].speaker SPEAKER_18
transcript.pyannote[942].start 9357.80909375
transcript.pyannote[942].end 9361.63971875
transcript.pyannote[943].speaker SPEAKER_17
transcript.pyannote[943].start 9361.63971875
transcript.pyannote[943].end 9361.70721875
transcript.pyannote[944].speaker SPEAKER_01
transcript.pyannote[944].start 9361.70721875
transcript.pyannote[944].end 9361.90971875
transcript.pyannote[945].speaker SPEAKER_17
transcript.pyannote[945].start 9361.90971875
transcript.pyannote[945].end 9362.02784375
transcript.pyannote[946].speaker SPEAKER_17
transcript.pyannote[946].start 9362.65221875
transcript.pyannote[946].end 9362.66909375
transcript.pyannote[947].speaker SPEAKER_01
transcript.pyannote[947].start 9362.66909375
transcript.pyannote[947].end 9362.83784375
transcript.pyannote[948].speaker SPEAKER_17
transcript.pyannote[948].start 9362.83784375
transcript.pyannote[948].end 9362.87159375
transcript.pyannote[949].speaker SPEAKER_01
transcript.pyannote[949].start 9362.87159375
transcript.pyannote[949].end 9362.97284375
transcript.pyannote[950].speaker SPEAKER_17
transcript.pyannote[950].start 9362.97284375
transcript.pyannote[950].end 9363.02346875
transcript.pyannote[951].speaker SPEAKER_01
transcript.pyannote[951].start 9363.02346875
transcript.pyannote[951].end 9363.12471875
transcript.pyannote[952].speaker SPEAKER_17
transcript.pyannote[952].start 9363.12471875
transcript.pyannote[952].end 9363.17534375
transcript.pyannote[953].speaker SPEAKER_01
transcript.pyannote[953].start 9363.17534375
transcript.pyannote[953].end 9363.27659375
transcript.pyannote[954].speaker SPEAKER_17
transcript.pyannote[954].start 9363.27659375
transcript.pyannote[954].end 9363.31034375
transcript.pyannote[955].speaker SPEAKER_01
transcript.pyannote[955].start 9363.63096875
transcript.pyannote[955].end 9372.08534375
transcript.pyannote[956].speaker SPEAKER_01
transcript.pyannote[956].start 9372.37221875
transcript.pyannote[956].end 9375.05534375
transcript.pyannote[957].speaker SPEAKER_01
transcript.pyannote[957].start 9376.45596875
transcript.pyannote[957].end 9380.55659375
transcript.pyannote[958].speaker SPEAKER_01
transcript.pyannote[958].start 9381.24846875
transcript.pyannote[958].end 9382.88534375
transcript.pyannote[959].speaker SPEAKER_17
transcript.pyannote[959].start 9382.26096875
transcript.pyannote[959].end 9384.84284375
transcript.pyannote[960].speaker SPEAKER_01
transcript.pyannote[960].start 9383.22284375
transcript.pyannote[960].end 9384.60659375
transcript.pyannote[961].speaker SPEAKER_01
transcript.pyannote[961].start 9384.84284375
transcript.pyannote[961].end 9384.91034375
transcript.pyannote[962].speaker SPEAKER_01
transcript.pyannote[962].start 9385.01159375
transcript.pyannote[962].end 9386.24346875
transcript.pyannote[963].speaker SPEAKER_01
transcript.pyannote[963].start 9386.53034375
transcript.pyannote[963].end 9389.21346875
transcript.pyannote[964].speaker SPEAKER_01
transcript.pyannote[964].start 9390.22596875
transcript.pyannote[964].end 9392.16659375
transcript.pyannote[965].speaker SPEAKER_01
transcript.pyannote[965].start 9392.30159375
transcript.pyannote[965].end 9399.23721875
transcript.pyannote[966].speaker SPEAKER_18
transcript.pyannote[966].start 9399.03471875
transcript.pyannote[966].end 9400.03034375
transcript.pyannote[967].speaker SPEAKER_17
transcript.pyannote[967].start 9400.03034375
transcript.pyannote[967].end 9400.13159375
transcript.pyannote[968].speaker SPEAKER_18
transcript.pyannote[968].start 9400.13159375
transcript.pyannote[968].end 9400.97534375
transcript.pyannote[969].speaker SPEAKER_01
transcript.pyannote[969].start 9400.13159375
transcript.pyannote[969].end 9403.15221875
transcript.pyannote[970].speaker SPEAKER_17
transcript.pyannote[970].start 9400.97534375
transcript.pyannote[970].end 9404.18159375
transcript.pyannote[971].speaker SPEAKER_01
transcript.pyannote[971].start 9403.45596875
transcript.pyannote[971].end 9421.15784375
transcript.pyannote[972].speaker SPEAKER_01
transcript.pyannote[972].start 9422.08596875
transcript.pyannote[972].end 9434.69159375
transcript.pyannote[973].speaker SPEAKER_08
transcript.pyannote[973].start 9427.28346875
transcript.pyannote[973].end 9427.38471875
transcript.pyannote[974].speaker SPEAKER_01
transcript.pyannote[974].start 9435.18096875
transcript.pyannote[974].end 9449.05221875
transcript.pyannote[975].speaker SPEAKER_17
transcript.pyannote[975].start 9449.05221875
transcript.pyannote[975].end 9449.87909375
transcript.pyannote[976].speaker SPEAKER_01
transcript.pyannote[976].start 9449.49096875
transcript.pyannote[976].end 9449.96346875
transcript.pyannote[977].speaker SPEAKER_17
transcript.pyannote[977].start 9449.96346875
transcript.pyannote[977].end 9453.03471875
transcript.pyannote[978].speaker SPEAKER_01
transcript.pyannote[978].start 9453.03471875
transcript.pyannote[978].end 9453.30471875
transcript.pyannote[979].speaker SPEAKER_17
transcript.pyannote[979].start 9453.30471875
transcript.pyannote[979].end 9453.35534375
transcript.pyannote[980].speaker SPEAKER_01
transcript.pyannote[980].start 9453.35534375
transcript.pyannote[980].end 9453.45659375
transcript.pyannote[981].speaker SPEAKER_17
transcript.pyannote[981].start 9453.45659375
transcript.pyannote[981].end 9453.54096875
transcript.pyannote[982].speaker SPEAKER_01
transcript.pyannote[982].start 9453.54096875
transcript.pyannote[982].end 9454.84034375
transcript.pyannote[983].speaker SPEAKER_01
transcript.pyannote[983].start 9455.19471875
transcript.pyannote[983].end 9460.83096875
transcript.pyannote[984].speaker SPEAKER_17
transcript.pyannote[984].start 9461.75909375
transcript.pyannote[984].end 9466.99034375
transcript.pyannote[985].speaker SPEAKER_17
transcript.pyannote[985].start 9467.58096875
transcript.pyannote[985].end 9472.39034375
transcript.pyannote[986].speaker SPEAKER_09
transcript.pyannote[986].start 9472.44096875
transcript.pyannote[986].end 9491.71221875
transcript.pyannote[987].speaker SPEAKER_15
transcript.pyannote[987].start 9486.61596875
transcript.pyannote[987].end 9487.05471875
transcript.pyannote[988].speaker SPEAKER_17
transcript.pyannote[988].start 9491.71221875
transcript.pyannote[988].end 9492.20159375
transcript.pyannote[989].speaker SPEAKER_09
transcript.pyannote[989].start 9492.20159375
transcript.pyannote[989].end 9494.27721875
transcript.pyannote[990].speaker SPEAKER_17
transcript.pyannote[990].start 9494.00721875
transcript.pyannote[990].end 9508.84034375
transcript.pyannote[991].speaker SPEAKER_06
transcript.pyannote[991].start 9510.12284375
transcript.pyannote[991].end 9516.29909375
transcript.pyannote[992].speaker SPEAKER_15
transcript.pyannote[992].start 9516.99096875
transcript.pyannote[992].end 9517.05846875
transcript.pyannote[993].speaker SPEAKER_17
transcript.pyannote[993].start 9517.05846875
transcript.pyannote[993].end 9517.54784375
transcript.pyannote[994].speaker SPEAKER_06
transcript.pyannote[994].start 9517.54784375
transcript.pyannote[994].end 9521.20971875
transcript.pyannote[995].speaker SPEAKER_17
transcript.pyannote[995].start 9521.20971875
transcript.pyannote[995].end 9521.31096875
transcript.pyannote[996].speaker SPEAKER_17
transcript.pyannote[996].start 9521.51346875
transcript.pyannote[996].end 9528.73596875
transcript.pyannote[997].speaker SPEAKER_15
transcript.pyannote[997].start 9524.90534375
transcript.pyannote[997].end 9524.93909375
transcript.pyannote[998].speaker SPEAKER_06
transcript.pyannote[998].start 9524.93909375
transcript.pyannote[998].end 9524.95596875
transcript.pyannote[999].speaker SPEAKER_15
transcript.pyannote[999].start 9524.95596875
transcript.pyannote[999].end 9524.98971875
transcript.pyannote[1000].speaker SPEAKER_06
transcript.pyannote[1000].start 9524.98971875
transcript.pyannote[1000].end 9525.02346875
transcript.pyannote[1001].speaker SPEAKER_15
transcript.pyannote[1001].start 9525.02346875
transcript.pyannote[1001].end 9526.35659375
transcript.pyannote[1002].speaker SPEAKER_15
transcript.pyannote[1002].start 9528.92159375
transcript.pyannote[1002].end 9530.64284375
transcript.pyannote[1003].speaker SPEAKER_01
transcript.pyannote[1003].start 9530.37284375
transcript.pyannote[1003].end 9535.92471875
transcript.pyannote[1004].speaker SPEAKER_01
transcript.pyannote[1004].start 9536.43096875
transcript.pyannote[1004].end 9537.76409375
transcript.pyannote[1005].speaker SPEAKER_01
transcript.pyannote[1005].start 9538.15221875
transcript.pyannote[1005].end 9543.88971875
transcript.pyannote[1006].speaker SPEAKER_01
transcript.pyannote[1006].start 9544.85159375
transcript.pyannote[1006].end 9546.31971875
transcript.pyannote[1007].speaker SPEAKER_17
transcript.pyannote[1007].start 9546.31971875
transcript.pyannote[1007].end 9550.30221875
transcript.pyannote[1008].speaker SPEAKER_01
transcript.pyannote[1008].start 9548.66534375
transcript.pyannote[1008].end 9550.84221875
transcript.pyannote[1009].speaker SPEAKER_17
transcript.pyannote[1009].start 9550.60596875
transcript.pyannote[1009].end 9560.20784375
transcript.pyannote[1010].speaker SPEAKER_17
transcript.pyannote[1010].start 9561.30471875
transcript.pyannote[1010].end 9562.80659375
transcript.pyannote[1011].speaker SPEAKER_01
transcript.pyannote[1011].start 9562.80659375
transcript.pyannote[1011].end 9568.86471875
transcript.pyannote[1012].speaker SPEAKER_01
transcript.pyannote[1012].start 9569.52284375
transcript.pyannote[1012].end 9573.47159375
transcript.pyannote[1013].speaker SPEAKER_01
transcript.pyannote[1013].start 9573.82596875
transcript.pyannote[1013].end 9574.43346875
transcript.pyannote[1014].speaker SPEAKER_01
transcript.pyannote[1014].start 9574.85534375
transcript.pyannote[1014].end 9576.50909375
transcript.pyannote[1015].speaker SPEAKER_01
transcript.pyannote[1015].start 9576.81284375
transcript.pyannote[1015].end 9578.78721875
transcript.pyannote[1016].speaker SPEAKER_01
transcript.pyannote[1016].start 9579.32721875
transcript.pyannote[1016].end 9579.81659375
transcript.pyannote[1017].speaker SPEAKER_01
transcript.pyannote[1017].start 9580.35659375
transcript.pyannote[1017].end 9590.32971875
transcript.pyannote[1018].speaker SPEAKER_00
transcript.pyannote[1018].start 9582.38159375
transcript.pyannote[1018].end 9582.41534375
transcript.pyannote[1019].speaker SPEAKER_18
transcript.pyannote[1019].start 9582.41534375
transcript.pyannote[1019].end 9582.68534375
transcript.pyannote[1020].speaker SPEAKER_00
transcript.pyannote[1020].start 9582.68534375
transcript.pyannote[1020].end 9582.73596875
transcript.pyannote[1021].speaker SPEAKER_17
transcript.pyannote[1021].start 9588.70971875
transcript.pyannote[1021].end 9589.65471875
transcript.pyannote[1022].speaker SPEAKER_17
transcript.pyannote[1022].start 9589.90784375
transcript.pyannote[1022].end 9606.93471875
transcript.pyannote[1023].speaker SPEAKER_06
transcript.pyannote[1023].start 9605.48346875
transcript.pyannote[1023].end 9610.63034375
transcript.pyannote[1024].speaker SPEAKER_17
transcript.pyannote[1024].start 9609.39846875
transcript.pyannote[1024].end 9610.69784375
transcript.pyannote[1025].speaker SPEAKER_13
transcript.pyannote[1025].start 9610.63034375
transcript.pyannote[1025].end 9610.66409375
transcript.pyannote[1026].speaker SPEAKER_06
transcript.pyannote[1026].start 9610.66409375
transcript.pyannote[1026].end 9610.71471875
transcript.pyannote[1027].speaker SPEAKER_13
transcript.pyannote[1027].start 9610.69784375
transcript.pyannote[1027].end 9613.26284375
transcript.pyannote[1028].speaker SPEAKER_17
transcript.pyannote[1028].start 9610.73159375
transcript.pyannote[1028].end 9610.81596875
transcript.pyannote[1029].speaker SPEAKER_06
transcript.pyannote[1029].start 9610.81596875
transcript.pyannote[1029].end 9610.83284375
transcript.pyannote[1030].speaker SPEAKER_17
transcript.pyannote[1030].start 9610.83284375
transcript.pyannote[1030].end 9610.98471875
transcript.pyannote[1031].speaker SPEAKER_20
transcript.pyannote[1031].start 9610.98471875
transcript.pyannote[1031].end 9611.13659375
transcript.pyannote[1032].speaker SPEAKER_17
transcript.pyannote[1032].start 9611.13659375
transcript.pyannote[1032].end 9611.22096875
transcript.pyannote[1033].speaker SPEAKER_20
transcript.pyannote[1033].start 9611.22096875
transcript.pyannote[1033].end 9611.23784375
transcript.pyannote[1034].speaker SPEAKER_06
transcript.pyannote[1034].start 9611.23784375
transcript.pyannote[1034].end 9611.40659375
transcript.pyannote[1035].speaker SPEAKER_17
transcript.pyannote[1035].start 9611.40659375
transcript.pyannote[1035].end 9611.44034375
transcript.pyannote[1036].speaker SPEAKER_06
transcript.pyannote[1036].start 9611.44034375
transcript.pyannote[1036].end 9611.54159375
transcript.pyannote[1037].speaker SPEAKER_17
transcript.pyannote[1037].start 9611.54159375
transcript.pyannote[1037].end 9611.55846875
transcript.pyannote[1038].speaker SPEAKER_20
transcript.pyannote[1038].start 9611.55846875
transcript.pyannote[1038].end 9611.57534375
transcript.pyannote[1039].speaker SPEAKER_06
transcript.pyannote[1039].start 9612.72284375
transcript.pyannote[1039].end 9612.73971875
transcript.pyannote[1040].speaker SPEAKER_20
transcript.pyannote[1040].start 9612.73971875
transcript.pyannote[1040].end 9648.71721875
transcript.pyannote[1041].speaker SPEAKER_13
transcript.pyannote[1041].start 9618.25784375
transcript.pyannote[1041].end 9618.34221875
transcript.pyannote[1042].speaker SPEAKER_00
transcript.pyannote[1042].start 9622.30784375
transcript.pyannote[1042].end 9623.91096875
transcript.pyannote[1043].speaker SPEAKER_11
transcript.pyannote[1043].start 9653.23971875
transcript.pyannote[1043].end 9656.24346875
transcript.pyannote[1044].speaker SPEAKER_11
transcript.pyannote[1044].start 9656.31096875
transcript.pyannote[1044].end 9675.54846875
transcript.pyannote[1045].speaker SPEAKER_11
transcript.pyannote[1045].start 9678.77159375
transcript.pyannote[1045].end 9680.25659375
transcript.pyannote[1046].speaker SPEAKER_17
transcript.pyannote[1046].start 9680.79659375
transcript.pyannote[1046].end 9681.21846875
transcript.pyannote[1047].speaker SPEAKER_17
transcript.pyannote[1047].start 9681.43784375
transcript.pyannote[1047].end 9683.95221875
transcript.pyannote[1048].speaker SPEAKER_17
transcript.pyannote[1048].start 9683.96909375
transcript.pyannote[1048].end 9684.05346875
transcript.pyannote[1049].speaker SPEAKER_17
transcript.pyannote[1049].start 9684.22221875
transcript.pyannote[1049].end 9685.47096875
transcript.pyannote[1050].speaker SPEAKER_17
transcript.pyannote[1050].start 9686.06159375
transcript.pyannote[1050].end 9698.38034375
transcript.pyannote[1051].speaker SPEAKER_15
transcript.pyannote[1051].start 9695.98409375
transcript.pyannote[1051].end 9696.28784375
transcript.pyannote[1052].speaker SPEAKER_18
transcript.pyannote[1052].start 9696.28784375
transcript.pyannote[1052].end 9696.30471875
transcript.pyannote[1053].speaker SPEAKER_17
transcript.pyannote[1053].start 9699.96659375
transcript.pyannote[1053].end 9700.70909375
transcript.pyannote[1054].speaker SPEAKER_17
transcript.pyannote[1054].start 9703.44284375
transcript.pyannote[1054].end 9709.07909375
transcript.pyannote[1055].speaker SPEAKER_17
transcript.pyannote[1055].start 9710.32784375
transcript.pyannote[1055].end 9717.85409375
transcript.pyannote[1056].speaker SPEAKER_17
transcript.pyannote[1056].start 9718.30971875
transcript.pyannote[1056].end 9725.46471875
transcript.pyannote[1057].speaker SPEAKER_20
transcript.pyannote[1057].start 9725.14409375
transcript.pyannote[1057].end 9726.30846875
transcript.pyannote[1058].speaker SPEAKER_17
transcript.pyannote[1058].start 9726.08909375
transcript.pyannote[1058].end 9729.59909375
transcript.pyannote[1059].speaker SPEAKER_20
transcript.pyannote[1059].start 9729.90284375
transcript.pyannote[1059].end 9731.82659375
transcript.pyannote[1060].speaker SPEAKER_17
transcript.pyannote[1060].start 9731.57346875
transcript.pyannote[1060].end 9731.65784375
transcript.pyannote[1061].speaker SPEAKER_17
transcript.pyannote[1061].start 9731.69159375
transcript.pyannote[1061].end 9731.74221875
transcript.pyannote[1062].speaker SPEAKER_17
transcript.pyannote[1062].start 9731.82659375
transcript.pyannote[1062].end 9731.91096875
transcript.pyannote[1063].speaker SPEAKER_20
transcript.pyannote[1063].start 9731.91096875
transcript.pyannote[1063].end 9731.92784375
transcript.pyannote[1064].speaker SPEAKER_17
transcript.pyannote[1064].start 9731.92784375
transcript.pyannote[1064].end 9742.66034375
transcript.pyannote[1065].speaker SPEAKER_20
transcript.pyannote[1065].start 9735.77534375
transcript.pyannote[1065].end 9737.66534375
transcript.pyannote[1066].speaker SPEAKER_13
transcript.pyannote[1066].start 9742.82909375
transcript.pyannote[1066].end 9747.18284375
transcript.pyannote[1067].speaker SPEAKER_05
transcript.pyannote[1067].start 9748.71846875
transcript.pyannote[1067].end 9748.73534375
transcript.pyannote[1068].speaker SPEAKER_17
transcript.pyannote[1068].start 9748.73534375
transcript.pyannote[1068].end 9748.97159375
transcript.pyannote[1069].speaker SPEAKER_05
transcript.pyannote[1069].start 9748.97159375
transcript.pyannote[1069].end 9749.29221875
transcript.pyannote[1070].speaker SPEAKER_17
transcript.pyannote[1070].start 9749.29221875
transcript.pyannote[1070].end 9749.51159375
transcript.pyannote[1071].speaker SPEAKER_12
transcript.pyannote[1071].start 9749.51159375
transcript.pyannote[1071].end 9749.64659375
transcript.pyannote[1072].speaker SPEAKER_17
transcript.pyannote[1072].start 9749.64659375
transcript.pyannote[1072].end 9749.66346875
transcript.pyannote[1073].speaker SPEAKER_12
transcript.pyannote[1073].start 9749.66346875
transcript.pyannote[1073].end 9749.69721875
transcript.pyannote[1074].speaker SPEAKER_17
transcript.pyannote[1074].start 9749.69721875
transcript.pyannote[1074].end 9749.74784375
transcript.pyannote[1075].speaker SPEAKER_12
transcript.pyannote[1075].start 9749.74784375
transcript.pyannote[1075].end 9749.76471875
transcript.pyannote[1076].speaker SPEAKER_12
transcript.pyannote[1076].start 9749.88284375
transcript.pyannote[1076].end 9749.89971875
transcript.pyannote[1077].speaker SPEAKER_13
transcript.pyannote[1077].start 9749.89971875
transcript.pyannote[1077].end 9750.97971875
transcript.pyannote[1078].speaker SPEAKER_15
transcript.pyannote[1078].start 9750.97971875
transcript.pyannote[1078].end 9750.99659375
transcript.pyannote[1079].speaker SPEAKER_05
transcript.pyannote[1079].start 9750.99659375
transcript.pyannote[1079].end 9758.03346875
transcript.pyannote[1080].speaker SPEAKER_13
transcript.pyannote[1080].start 9751.03034375
transcript.pyannote[1080].end 9751.06409375
transcript.pyannote[1081].speaker SPEAKER_17
transcript.pyannote[1081].start 9751.06409375
transcript.pyannote[1081].end 9751.23284375
transcript.pyannote[1082].speaker SPEAKER_17
transcript.pyannote[1082].start 9751.95846875
transcript.pyannote[1082].end 9752.54909375
transcript.pyannote[1083].speaker SPEAKER_05
transcript.pyannote[1083].start 9758.67471875
transcript.pyannote[1083].end 9763.66971875
transcript.pyannote[1084].speaker SPEAKER_17
transcript.pyannote[1084].start 9759.97409375
transcript.pyannote[1084].end 9760.34534375
transcript.pyannote[1085].speaker SPEAKER_17
transcript.pyannote[1085].start 9761.13846875
transcript.pyannote[1085].end 9765.20534375
transcript.pyannote[1086].speaker SPEAKER_13
transcript.pyannote[1086].start 9763.66971875
transcript.pyannote[1086].end 9763.78784375
transcript.pyannote[1087].speaker SPEAKER_05
transcript.pyannote[1087].start 9763.78784375
transcript.pyannote[1087].end 9763.82159375
transcript.pyannote[1088].speaker SPEAKER_13
transcript.pyannote[1088].start 9763.82159375
transcript.pyannote[1088].end 9763.90596875
transcript.pyannote[1089].speaker SPEAKER_05
transcript.pyannote[1089].start 9763.90596875
transcript.pyannote[1089].end 9763.92284375
transcript.pyannote[1090].speaker SPEAKER_13
transcript.pyannote[1090].start 9763.92284375
transcript.pyannote[1090].end 9769.74471875
transcript.pyannote[1091].speaker SPEAKER_17
transcript.pyannote[1091].start 9765.81284375
transcript.pyannote[1091].end 9783.09284375
transcript.pyannote[1092].speaker SPEAKER_15
transcript.pyannote[1092].start 9769.74471875
transcript.pyannote[1092].end 9769.98096875
transcript.pyannote[1093].speaker SPEAKER_20
transcript.pyannote[1093].start 9773.96346875
transcript.pyannote[1093].end 9774.03096875
transcript.pyannote[1094].speaker SPEAKER_15
transcript.pyannote[1094].start 9776.41034375
transcript.pyannote[1094].end 9777.06846875
transcript.pyannote[1095].speaker SPEAKER_00
transcript.pyannote[1095].start 9777.06846875
transcript.pyannote[1095].end 9778.23284375
transcript.pyannote[1096].speaker SPEAKER_17
transcript.pyannote[1096].start 9783.61596875
transcript.pyannote[1096].end 9798.93846875
transcript.pyannote[1097].speaker SPEAKER_17
transcript.pyannote[1097].start 9799.88346875
transcript.pyannote[1097].end 9802.48221875
transcript.pyannote[1098].speaker SPEAKER_17
transcript.pyannote[1098].start 9803.88284375
transcript.pyannote[1098].end 9811.29096875
transcript.pyannote[1099].speaker SPEAKER_17
transcript.pyannote[1099].start 9811.76346875
transcript.pyannote[1099].end 9812.79284375
transcript.pyannote[1100].speaker SPEAKER_17
transcript.pyannote[1100].start 9813.01221875
transcript.pyannote[1100].end 9813.02909375
transcript.pyannote[1101].speaker SPEAKER_17
transcript.pyannote[1101].start 9813.06284375
transcript.pyannote[1101].end 9814.31159375
transcript.pyannote[1102].speaker SPEAKER_17
transcript.pyannote[1102].start 9819.30659375
transcript.pyannote[1102].end 9819.71159375
transcript.pyannote[1103].speaker SPEAKER_17
transcript.pyannote[1103].start 9821.41596875
transcript.pyannote[1103].end 9828.35159375
transcript.pyannote[1104].speaker SPEAKER_17
transcript.pyannote[1104].start 9829.16159375
transcript.pyannote[1104].end 9856.71846875
transcript.pyannote[1105].speaker SPEAKER_17
transcript.pyannote[1105].start 9859.70534375
transcript.pyannote[1105].end 9868.61534375
transcript.pyannote[1106].speaker SPEAKER_17
transcript.pyannote[1106].start 9870.03284375
transcript.pyannote[1106].end 9870.06659375
transcript.pyannote[1107].speaker SPEAKER_19
transcript.pyannote[1107].start 9870.06659375
transcript.pyannote[1107].end 9878.60534375
transcript.pyannote[1108].speaker SPEAKER_17
transcript.pyannote[1108].start 9877.13721875
transcript.pyannote[1108].end 9881.55846875
transcript.pyannote[1109].speaker SPEAKER_19
transcript.pyannote[1109].start 9878.74034375
transcript.pyannote[1109].end 9879.95534375
transcript.pyannote[1110].speaker SPEAKER_17
transcript.pyannote[1110].start 9885.74346875
transcript.pyannote[1110].end 9906.53346875
transcript.pyannote[1111].speaker SPEAKER_17
transcript.pyannote[1111].start 9906.90471875
transcript.pyannote[1111].end 9908.22096875
transcript.pyannote[1112].speaker SPEAKER_17
transcript.pyannote[1112].start 9908.92971875
transcript.pyannote[1112].end 9911.02221875
transcript.pyannote[1113].speaker SPEAKER_17
transcript.pyannote[1113].start 9911.88284375
transcript.pyannote[1113].end 9933.12846875
transcript.pyannote[1114].speaker SPEAKER_17
transcript.pyannote[1114].start 9933.43221875
transcript.pyannote[1114].end 9935.42346875
transcript.pyannote[1115].speaker SPEAKER_17
transcript.pyannote[1115].start 9937.98846875
transcript.pyannote[1115].end 9939.18659375
transcript.pyannote[1116].speaker SPEAKER_18
transcript.pyannote[1116].start 9943.03409375
transcript.pyannote[1116].end 9945.32909375
transcript.pyannote[1117].speaker SPEAKER_06
transcript.pyannote[1117].start 9948.13034375
transcript.pyannote[1117].end 9949.63221875
transcript.pyannote[1118].speaker SPEAKER_18
transcript.pyannote[1118].start 9950.52659375
transcript.pyannote[1118].end 9952.51784375
transcript.pyannote[1119].speaker SPEAKER_06
transcript.pyannote[1119].start 9952.51784375
transcript.pyannote[1119].end 9952.85534375
transcript.pyannote[1120].speaker SPEAKER_18
transcript.pyannote[1120].start 9952.85534375
transcript.pyannote[1120].end 9953.80034375
transcript.pyannote[1121].speaker SPEAKER_06
transcript.pyannote[1121].start 9953.80034375
transcript.pyannote[1121].end 9954.03659375
transcript.pyannote[1122].speaker SPEAKER_18
transcript.pyannote[1122].start 9954.03659375
transcript.pyannote[1122].end 9958.40721875
transcript.pyannote[1123].speaker SPEAKER_06
transcript.pyannote[1123].start 9954.57659375
transcript.pyannote[1123].end 9955.13346875
transcript.pyannote[1124].speaker SPEAKER_15
transcript.pyannote[1124].start 9956.04471875
transcript.pyannote[1124].end 9956.85471875
transcript.pyannote[1125].speaker SPEAKER_06
transcript.pyannote[1125].start 9956.85471875
transcript.pyannote[1125].end 9956.90534375
transcript.pyannote[1126].speaker SPEAKER_15
transcript.pyannote[1126].start 9959.68971875
transcript.pyannote[1126].end 9960.97221875
transcript.pyannote[1127].speaker SPEAKER_18
transcript.pyannote[1127].start 9959.99346875
transcript.pyannote[1127].end 9960.07784375
transcript.pyannote[1128].speaker SPEAKER_17
transcript.pyannote[1128].start 9960.07784375
transcript.pyannote[1128].end 9960.85409375
transcript.pyannote[1129].speaker SPEAKER_18
transcript.pyannote[1129].start 9960.85409375
transcript.pyannote[1129].end 9961.69784375
transcript.pyannote[1130].speaker SPEAKER_17
transcript.pyannote[1130].start 9960.97221875
transcript.pyannote[1130].end 9961.02284375
transcript.pyannote[1131].speaker SPEAKER_15
transcript.pyannote[1131].start 9961.02284375
transcript.pyannote[1131].end 9961.17471875
transcript.pyannote[1132].speaker SPEAKER_17
transcript.pyannote[1132].start 9961.17471875
transcript.pyannote[1132].end 9961.36034375
transcript.pyannote[1133].speaker SPEAKER_17
transcript.pyannote[1133].start 9961.69784375
transcript.pyannote[1133].end 9961.96784375
transcript.pyannote[1134].speaker SPEAKER_18
transcript.pyannote[1134].start 9961.96784375
transcript.pyannote[1134].end 9964.22909375
transcript.pyannote[1135].speaker SPEAKER_17
transcript.pyannote[1135].start 9962.92971875
transcript.pyannote[1135].end 9962.98034375
transcript.pyannote[1136].speaker SPEAKER_15
transcript.pyannote[1136].start 9962.98034375
transcript.pyannote[1136].end 9963.97596875
transcript.pyannote[1137].speaker SPEAKER_17
transcript.pyannote[1137].start 9963.97596875
transcript.pyannote[1137].end 9964.02659375
transcript.pyannote[1138].speaker SPEAKER_15
transcript.pyannote[1138].start 9964.02659375
transcript.pyannote[1138].end 9964.04346875
transcript.pyannote[1139].speaker SPEAKER_17
transcript.pyannote[1139].start 9964.04346875
transcript.pyannote[1139].end 9964.14471875
transcript.pyannote[1140].speaker SPEAKER_17
transcript.pyannote[1140].start 9964.22909375
transcript.pyannote[1140].end 9964.39784375
transcript.pyannote[1141].speaker SPEAKER_18
transcript.pyannote[1141].start 9964.39784375
transcript.pyannote[1141].end 9965.89971875
transcript.pyannote[1142].speaker SPEAKER_17
transcript.pyannote[1142].start 9966.52409375
transcript.pyannote[1142].end 9966.57471875
transcript.pyannote[1143].speaker SPEAKER_18
transcript.pyannote[1143].start 9966.57471875
transcript.pyannote[1143].end 9966.60846875
transcript.pyannote[1144].speaker SPEAKER_17
transcript.pyannote[1144].start 9966.60846875
transcript.pyannote[1144].end 9966.64221875
transcript.pyannote[1145].speaker SPEAKER_18
transcript.pyannote[1145].start 9966.64221875
transcript.pyannote[1145].end 9967.09784375
transcript.pyannote[1146].speaker SPEAKER_08
transcript.pyannote[1146].start 9967.09784375
transcript.pyannote[1146].end 9968.53221875
transcript.pyannote[1147].speaker SPEAKER_18
transcript.pyannote[1147].start 9968.53221875
transcript.pyannote[1147].end 9971.14784375
transcript.pyannote[1148].speaker SPEAKER_08
transcript.pyannote[1148].start 9968.97096875
transcript.pyannote[1148].end 9969.37596875
transcript.pyannote[1149].speaker SPEAKER_15
transcript.pyannote[1149].start 9969.37596875
transcript.pyannote[1149].end 9969.56159375
transcript.pyannote[1150].speaker SPEAKER_15
transcript.pyannote[1150].start 9969.81471875
transcript.pyannote[1150].end 9970.91159375
transcript.pyannote[1151].speaker SPEAKER_08
transcript.pyannote[1151].start 9972.16034375
transcript.pyannote[1151].end 9972.75096875
transcript.pyannote[1152].speaker SPEAKER_18
transcript.pyannote[1152].start 9980.12534375
transcript.pyannote[1152].end 9980.88471875
transcript.pyannote[1153].speaker SPEAKER_18
transcript.pyannote[1153].start 9985.76159375
transcript.pyannote[1153].end 9986.08221875
transcript.pyannote[1154].speaker SPEAKER_15
transcript.pyannote[1154].start 9986.08221875
transcript.pyannote[1154].end 9986.16659375
transcript.pyannote[1155].speaker SPEAKER_18
transcript.pyannote[1155].start 9986.43659375
transcript.pyannote[1155].end 9986.70659375
transcript.pyannote[1156].speaker SPEAKER_15
transcript.pyannote[1156].start 9988.37721875
transcript.pyannote[1156].end 9989.57534375
transcript.pyannote[1157].speaker SPEAKER_15
transcript.pyannote[1157].start 9989.69346875
transcript.pyannote[1157].end 9989.71034375
transcript.pyannote[1158].speaker SPEAKER_15
transcript.pyannote[1158].start 10025.02971875
transcript.pyannote[1158].end 10027.13909375
transcript.pyannote[1159].speaker SPEAKER_15
transcript.pyannote[1159].start 10037.26409375
transcript.pyannote[1159].end 10037.98971875
transcript.whisperx[0].start 873.291
transcript.whisperx[0].end 875.386
transcript.whisperx[0].text 委員黃秀芳等19人擬具
transcript.whisperx[1].start 2737.494
transcript.whisperx[1].end 2739.695
transcript.whisperx[1].text 編曲 李宗盛編曲 李宗盛編曲
transcript.whisperx[2].start 2755.595
transcript.whisperx[2].end 2778.344
transcript.whisperx[2].text 好來我們現在開始開會我們開始進行黨團協商那本案在教育及文化委員會審查的結果我們還有保留第四條第五條增訂第七條之一第十條第十一條第十二條第十七條增訂第十七條之一等八個條文跟相關的修正動議還有附帶決議實案
transcript.whisperx[3].start 2781.425
transcript.whisperx[3].end 2785.348
transcript.whisperx[3].text 那我們現在就開始繼續我們是不是先從第四來 我們要介紹官員是吧大家都很熟了 天啊 我們真的是相看兩不厭好 來 教育部長鄭一耀 鄭部長 謝謝我們的政次 我們的張料萬堅謝謝我們的教育部學務司的吳林輝 吳司長還有我們國教署的彭復原 彭署長
transcript.whisperx[4].start 2808.832
transcript.whisperx[4].end 2818.7
transcript.whisperx[4].text 誒 彭處長 你的字是怎麼樣 你用毛筆寫是吧真的是 很漂亮來 教育部的我們法務處的我們的李處長還有我們的我們的吳小霞 吳司長 好不好還有我們的 對不起 我們還有法務部矯正誒 還有這個嗎 矯正署啊
transcript.whisperx[5].start 2830.397
transcript.whisperx[5].end 2834.039
transcript.whisperx[5].text 法務部矯正署副署長林雲達林副署長人事總署副人事長懷旭內政部民政司專員劉專元衛福部檢任專事察行政院主計總署專委員王專委員衛福部心理健康司專委員洪專委員法務部參事
transcript.whisperx[6].start 2860.109
transcript.whisperx[6].end 2860.229
transcript.whisperx[6].text 從第四條開始討論
transcript.whisperx[7].start 2875.009
transcript.whisperx[7].end 2875.589
transcript.whisperx[7].text 委員陳培鈺等19人擬具
transcript.whisperx[8].start 2906.24
transcript.whisperx[8].end 2926.791
transcript.whisperx[8].text 好 謝謝大家我剛應這個召委的交代討論過的我就不再重複因為我第一次來那第四條裡面我提出一個附帶的意見因為不論在學輔法裡頭大家重點無論是常態性的人力的編制行政人員或者是任務性的大家都已經有很多的討論
transcript.whisperx[9].start 2927.952
transcript.whisperx[9].end 2944.009
transcript.whisperx[9].text 但是我還是認為未來在行政人力的緣額到底會如何具體去做規劃會不會跟服務的量人的行政人力比會有所調整因此我希望提出一個附帶的意見未來教育部可以定期檢討學服中心的組織編制、適時研修符合實務的需求
transcript.whisperx[10].start 2950.456
transcript.whisperx[10].end 2977.949
transcript.whisperx[10].text 這是在第四點我提出來的附帶意見那當然重點還是在人力比的部分所以第十一條我有另外一個條文的修正案修正動議提出來就是未來高中以下每15校就要設置一名專輔人員再加上每4500名學生要設置一名專輔人員這個是我在第十一條裡面的修正動議以上兩點跟大家
transcript.whisperx[11].start 2978.789
transcript.whisperx[11].end 2980.33
transcript.whisperx[11].text 併案審查委員併案審查委員併案審查委員併案
transcript.whisperx[12].start 3005.181
transcript.whisperx[12].end 3022.913
transcript.whisperx[12].text 謝謝我們已經通過的部分那有幾個地方還是稍微提一下學生輔導諮商中心的正式編制簽證的層面真的是比較複雜但今天還是希望教育部至少能夠針對薪資提升保障薪資對齊的部分要講清楚那同時本席也針對本條有提出關於薪資的附帶決議
transcript.whisperx[13].start 3024.594
transcript.whisperx[13].end 3047.383
transcript.whisperx[13].text 我個人認為同工不同酬的問題一定要在這一次的學生輔導法的修法做這樣的一個機會來處理當我們忽視食物現場同工不同酬的問題的時候除了人力流動的困境沒有辦法改善很可能也非常難去訴求好的服務品質和對孩子的保障所以我們應該要先照顧好幸福人員
transcript.whisperx[14].start 3048.183
transcript.whisperx[14].end 3057.879
transcript.whisperx[14].text 他們才能夠幫我們在照顧好整個教育的環境最後還是請教育部也如果可以的話回應一下先前本席問過的關於行政人力的規劃謝謝
transcript.whisperx[15].start 3062.243
transcript.whisperx[15].end 3080.432
transcript.whisperx[15].text 果仁委的修正這是第十一條不好意思都等一下再送過來給我們好接下來陳佩玉委員我記得我們上一次在第四條卡了很久其實不是相關的工作內容卡太久我們其實是在正式化還是在薪資加急的部分卡了很久
transcript.whisperx[16].start 3081.252
transcript.whisperx[16].end 3107.748
transcript.whisperx[16].text 那我想要說的是上一次彭署長的說明我覺得確實也讓我們重新更加確定就是正式化編制的困境可能會有的困境會讓地方政府產生財務上的負擔或者是緣合上的限制那當時我記得有很多委員舉例談到家庭教育中心後來我們有跟教育部這邊私下討論家庭教育中心到底目前狀況是好是壞這件事情
transcript.whisperx[17].start 3109.898
transcript.whisperx[17].end 3135.612
transcript.whisperx[17].text 我覺得都還有很多要討論的地方所以到底是正式編制化還是只是加薪這件事情其實我個人現在是越來越覺得是不是需要更多的討論因為我自己當然希望這些地方學輔資中心的專家學者們心理師、老師或者是社工師所有在幫助學生的人他們可以得到最好的照顧因為我有把他們自己照顧好他們才有能力去照顧我們的孩子可是目前的困境是如果
transcript.whisperx[18].start 3136.653
transcript.whisperx[18].end 3148.029
transcript.whisperx[18].text 教育部或者是我們在相關資源上或是跟地方政府的溝通都還不夠確切是不是在今天我覺得在這一題我想要先提出這一條我覺得要保留啦好 謝謝今天還要再保留啊
transcript.whisperx[19].start 3152.523
transcript.whisperx[19].end 3168.591
transcript.whisperx[19].text 我們今天在保留如果我還是強調一句話這個當然我們可以我們可以再協商了但對我個人來說我說實在我們如果今天所有的條文大家都沒有太大意見但是我們在這薪資的提升上面沒有辦法做
transcript.whisperx[20].start 3169.631
transcript.whisperx[20].end 3170.192
transcript.whisperx[20].text 委員黃秀芳等19人擬具
transcript.whisperx[21].start 3192.875
transcript.whisperx[21].end 3194.196
transcript.whisperx[21].text 范雲等19人擬具《學生輔導法部分條文修正草案》、委員張雅琳等19人擬具
transcript.whisperx[22].start 3213.553
transcript.whisperx[22].end 3225.965
transcript.whisperx[22].text 提出的更具體的規劃因為這才是對現場的老師一個最直接的支持也才是對我們的孩子最直接的支持啦所以我還是希望說教育部今天一定要清楚的來告訴我們到底我們具體的一個可以做的方式是什麼謝謝
transcript.whisperx[23].start 3230.662
transcript.whisperx[23].end 3253.081
transcript.whisperx[23].text 我能夠了解剛剛那個陳培委員說要保留的一個想法我想他不是因為我們會覺得如果在這個教育部現在這樣的狀況不明確的情況之下對於今天就能夠協商出一個結論抱有很大的疑慮所以才有可能說會不會就這一條很難談
transcript.whisperx[24].start 3254.022
transcript.whisperx[24].end 3280.677
transcript.whisperx[24].text 所以我們希望教育部是不是能夠切正問題趕快來幫我們協助這件事那家庭教育中心來做一個舉例我坦白講我們聽到的狀況並不是很好所以拿家庭教育中心的狀況來研擬的話可能就會要蠻難去做一個比擬因為專輔人員他們的辛苦我想尤其到了這個年齡上的一個變化像最近這個有一個新的電影這個腦筋急轉彎2
transcript.whisperx[25].start 3283.619
transcript.whisperx[25].end 3297.055
transcript.whisperx[25].text 對不起他就是在講孩子的情緒變化到了青少年階段其實是很變化陌生的齁那所以我覺得專輔人員我還是在上一次強調我們現在就是很簡單第四條就是談薪資了到底他們的
transcript.whisperx[26].start 3299.117
transcript.whisperx[26].end 3299.717
transcript.whisperx[26].text 委員黃秀芳等19人擬具
transcript.whisperx[27].start 3320.845
transcript.whisperx[27].end 3321.846
transcript.whisperx[27].text 委員林宜瑾等19人擬具
transcript.whisperx[28].start 3338.804
transcript.whisperx[28].end 3364.578
transcript.whisperx[28].text 謝主席喔第四條我想我有整理一個新的修正動議是申訂第四項跟第五項那我們民進黨的所有教文委員會的委員也都有簽署喔那所以也希望教育部能夠來採納這個修正條文那在這份修正動議裡面喔我是明定地方政府要有絕對的彈性那判斷
transcript.whisperx[29].start 3365.678
transcript.whisperx[29].end 3390.277
transcript.whisperx[29].text 學生輔導諮商中心究竟要採取長設性的任務編組又或者是正式化的組織而且也因為教育部特別舉了家庭教育中心的案例來提醒納入正式化組織未必可以運作得很好所以本席在這一版的修正動議中特別強調說如果要採取正式化的組織
transcript.whisperx[30].start 3391.118
transcript.whisperx[30].end 3413.515
transcript.whisperx[30].text 必須是要經過評估認為確實能夠有效的發揮輔資中心的職能另外我也有參照文化基本法等五部法律的立法方式在合於財政紀律法規範的狀況之下要求中央跟地方主管機關寬列預算來降低學生輔資中心人員離職率
transcript.whisperx[31].start 3415.096
transcript.whisperx[31].end 3434.115
transcript.whisperx[31].text 提升專業者任職意願供應學生完備資產管道考量到任何看似在完善的制度實施起來都發現有不足之處本席在第五項特別要求中央及地方政府逐年會商並檢討及調整輔資
transcript.whisperx[32].start 3440.521
transcript.whisperx[32].end 3441.082
transcript.whisperx[32].text 委員范雲等19人擬具
transcript.whisperx[33].start 3455.904
transcript.whisperx[33].end 3471.901
transcript.whisperx[33].text 第四條據說這個正式化是不是或常識化這部分我們已經討論很久了那因為林宜瑾委員的這個修正同意早上有找我討論那我看他已經又在做修正了所以看起來可行性是蠻高的
transcript.whisperx[34].start 3473.422
transcript.whisperx[34].end 3497.492
transcript.whisperx[34].text 當然我們今天也有很多針對薪資各種部分的附帶決議如果可以配合林宜瑾委員這個修正動議的話至少我覺得這一條如果能夠以林宜瑾的部分的文字跟我們相關的薪資的附帶決議通過的話應該是能夠得到足夠的保障因為大家最關心的就是
transcript.whisperx[35].start 3498.632
transcript.whisperx[35].end 3524.671
transcript.whisperx[35].text 新資待遇會不會比現在更好那如何能夠有這個可能性就是說林宜瑾的文字也保留未來有正式化的空間嘛那現狀還做不到的時候那如果我們的附帶訣跟他的搭配的話我至少個人是有被說服就是這條可以就是讓他通過但當然教育部也需要表達意見對這樣子的一個版本覺得怎麼樣
transcript.whisperx[36].start 3528.618
transcript.whisperx[36].end 3551.577
transcript.whisperx[36].text 我個人覺得這個文字的話可以請教育部表達意見但是身為26年的諮商工作培育者我還是強調薪資的調整比什麼都重要我不在乎這些文字文字可能可以確定請教育部去看薪資的調整薪資的調整決定你人才的留任沒有這個東西其他講的都是空的這是我一向的原則好不好一向的原則文字的調整其實是
transcript.whisperx[37].start 3557.523
transcript.whisperx[37].end 3564.847
transcript.whisperx[37].text 我對我個人來說的話教育部只要認為大體的方式特別是在第三項跟第四項的一個層面當中
transcript.whisperx[38].start 3566.668
transcript.whisperx[38].end 3584.512
transcript.whisperx[38].text 因為是林一綺委員才剛剛提出來所以請教育部根據她的文字裡面再做一些本席利用這個時間我還是再一次的強調潘文忠部長我說實在的他在當初割喉案的時候他提到我都記得很清楚目前已經增加5,004名輔導老師600位專輔人員會針對中大型學校擴充專業輔導人力搭配薪資提升跟升遷的留任機制
transcript.whisperx[39].start 3595.835
transcript.whisperx[39].end 3625.118
transcript.whisperx[39].text 這都是前教育部長所提到的所以說呢薪資的提升跟留任計制本來就對全國第一線工作人員的最大的一個承諾我今天對於第四條來說我不覺得我需要我們是需要花時間在文字上面做一些的斟酌但是在於附帶決議裡面大家各自版本所提出的薪資的幾等的一個一個調升那個才是一個最實質上面對學對這些人員裡面最有幫助請教育部千萬不要迴避啊
transcript.whisperx[40].start 3631.798
transcript.whisperx[40].end 3660.134
transcript.whisperx[40].text 先從文字上面來去說那在看這個文字的時候呢我還是要特別提到這個知府人力當中為什麼我一直強調薪資很重要因為當初的起薪就是很低本來就是非常錯誤的那這次的修法是在搏破網所以我覺得人事總署如果你每次都要提出解放你不要一直跟我說做不到做不到而是你只要去問嘛我先只問嘛第一線的人員你是不是要調薪嘛你告訴我一個事實嘛要不要調薪我覺得我講到這邊我都已經有點生氣了你到底要不要調薪你若然是是的話
transcript.whisperx[41].start 3661.155
transcript.whisperx[41].end 3682.622
transcript.whisperx[41].text 那你就應該在這個事的原則之上面去做出其他可以配套的一個方法而不是在文字上面跟其他的部分裡面完全沒有迂迴的來做這樣的一個處理本席今天已經提出了一個附帶決議比上次更加的一個完整我個人覺得這對於第一線的工作人員來說這完全是足以能夠讓他們覺得他們的工作是被尊重的
transcript.whisperx[42].start 3683.482
transcript.whisperx[42].end 3696.746
transcript.whisperx[42].text 所以對我們來說的話我同意第四條裡面你不管在第四項、第三或第四項裡面像你們在文字上面你做修正但是附帶決議裡面的薪資今天一定務必要一定要有一個結果否則我們講別的都是假的好羅廷偉委員朝野我們有看到你的附帶決議齁那是不是就直接請教育部趕快回應我們一下了
transcript.whisperx[43].start 3709.09
transcript.whisperx[43].end 3735.855
transcript.whisperx[43].text 教育部教育部先從本文我們通常負責決定是從本文的條文剛剛林宜瑾委員已經特別提到第三項、第四項所以我們就會過來然後呢我剛剛已經提出來這幾天今天一定要作為一個討論那就是剛剛是我剛剛講這麼多是要給教育部一個時間因為剛剛那個那個整個文字是剛剛才呈現出來的好不好我們現在把它現在是有把它因為你們民進黨委員全部簽字嘛就表示你們對於你們每個人都有看得很仔細嗎都有看得很仔細
transcript.whisperx[44].start 3740.606
transcript.whisperx[44].end 3753.053
transcript.whisperx[44].text 負貸決議很重要好了我們暫時目前為止先把這個本文的條文裡面做確認完之後我們就進入到負貸決議裡面的薪資的部分這部分是所有委員都非常關切的這部分還需要時間嗎還是現在
transcript.whisperx[45].start 3764.465
transcript.whisperx[45].end 3791.206
transcript.whisperx[45].text 好 可以 范議員因為我今天也簽一個跟薪資相關的附帶決議那我是希望說不管是昭緯柯真昭緯的附帶決議或是我的附帶決議我們的附帶決議要通過的話林宜瑾委員這個修正的動議才有意義啦那所以就是說我是希望說能夠一起通過要不然的話我們就希望能夠再協商這樣
transcript.whisperx[46].start 3792.287
transcript.whisperx[46].end 3793.768
transcript.whisperx[46].text 主席主席主席主席
transcript.whisperx[47].start 3808.306
transcript.whisperx[47].end 3809.166
transcript.whisperx[47].text 法定人數不足
transcript.whisperx[48].start 3827.956
transcript.whisperx[48].end 3854.209
transcript.whisperx[48].text 那因為教育部還在考慮這部分我就不浪費時間說明一下我的附帶決議那我的部分是希望說如果是常設性的任務編組的話專府人員任主任督導應該要提升續薪以原薪點平移淨等再進一階起薪那最高至九等六階主任應在於以現行之計畫主持人費用那第二點若輔資中心正式化
transcript.whisperx[49].start 3854.989
transcript.whisperx[49].end 3876.722
transcript.whisperx[49].text 於下列方式至少擇一聘之以鼓勵專府人員久任升遷亦利於中心政治化之銜接沿用主任督導依照《一事人員人事條例》以師三級本諷加專業家級並有年功諷等待遇才繼其年資起聘之二、專府人員擔任主任督導者
transcript.whisperx[50].start 3877.282
transcript.whisperx[50].end 3901.552
transcript.whisperx[50].text 比照高中以下各級學校主任組長方式給予職務加緊不低於公立中等以下學校教師及幼兒園教保服務人員信任一覽表的主任7520元、組長5750元有鑒於目前督導回任專輔人員其年資未被採記不合理亦不利督導工作發展督導回任專輔人員時應採記其年資提敘
transcript.whisperx[51].start 3905.293
transcript.whisperx[51].end 3922.628
transcript.whisperx[51].text 第三點我之前在討論的時候就有提到那因為他沒有辦法放在條文中所以我也希望放在附帶決議那這三點都應該在就是三個月內嚴明具體落實的方案並向立法院教育及文化委員會提出書面報告以上說明 謝謝
transcript.whisperx[52].start 3924.069
transcript.whisperx[52].end 3940.644
transcript.whisperx[52].text 委員范雲也非常確實提出該如何來提高薪資本人其實第四條到今天所提出來的附帶決議也請各位可以看一下因為現在教育部在對文字的部分怎麼樣文字部分可以確定嗎那我們還是以本文為優先請教育部部長還是次長部長好來
transcript.whisperx[53].start 3946.243
transcript.whisperx[53].end 3961.125
transcript.whisperx[53].text 謝謝主席還有各位委員的關心我想我們的方向都是一致的只是因為在第四條的第二項裡面它已經就明文說高級中等以下學校主管機關因涉學生
transcript.whisperx[54].start 3961.966
transcript.whisperx[54].end 3962.686
transcript.whisperx[54].text 委員林宜瑾等19人擬具
transcript.whisperx[55].start 3983.819
transcript.whisperx[55].end 4001.67
transcript.whisperx[55].text 我這一個具體的建議是不是說謝謝林宜瑾委員所提出來是不是在第四項這一個部分就不需要再特別針對說要長設性組織因為說不定也有哪一個地方縣市他覺得他可以設編制內從地制法裡面去來針對這一個機構
transcript.whisperx[56].start 4007.794
transcript.whisperx[56].end 4019.473
transcript.whisperx[56].text 那另外最後一項等於說最後一項降低人員離職率是不是可以考慮這個刪去因為從第三行的提升專業
transcript.whisperx[57].start 4022.996
transcript.whisperx[57].end 4040.641
transcript.whisperx[57].text 提升專業及任職意願從正面表列因為提升任職意願已經等於就是另外一方面就是那個降低離職率了嘛所以從這個裡面這樣的一個文字就法律上來講我們盡量
transcript.whisperx[58].start 4042.681
transcript.whisperx[58].end 4067.332
transcript.whisperx[58].text 從正面表列的這樣一個精神來看是不是可以這樣是不是適當請主席還有我們各委員參與考量好 所以說我們根據林宜瑾委員的部分來說本條所稱學生輔導諮商中以常設性任務編組為原則這句話就徹底把它去掉這一項全部把它去掉 對不對
transcript.whisperx[59].start 4068.871
transcript.whisperx[59].end 4097.165
transcript.whisperx[59].text 好了,把第三項去掉,然後在第四項的部分的衛力學生輔導諮商中心運作降低人員離職率去掉,然後就直接進入到提升專業者任職意願等等之類的,是這樣子嗎?好不好,那是不是誰可以把文字?這來為極啦極,好,OK,極專業這後面,後面才會可以鋪陳我們對這個學薪資待遇上,我想我們在
transcript.whisperx[60].start 4098.595
transcript.whisperx[60].end 4098.976
transcript.whisperx[60].text 法定人數不足
transcript.whisperx[61].start 4117.014
transcript.whisperx[61].end 4136.139
transcript.whisperx[61].text 其實大家討論過就很知道吧我們其實附帶決議第四條的附帶決議還有第十一條的有關於不管五十五班到四十班二十校十五校這些討論完畢就是它就是整個我們立法的這一次最大的主軸嘛 對不對雖然只有八條但事實上真的很需要被用力討論但是兩條嘛來我們請我們因為我們現在打字啊還沒請到委員在這個時候需要有意見的
transcript.whisperx[62].start 4157.503
transcript.whisperx[62].end 4173.167
transcript.whisperx[62].text 我們請教育部相關單元或人總針對我跟范雲委員所提出的附帶決議裡面有關薪資的建議請仔細看一下等一下提出來流動大家來一起來做一些參考好不好這樣比較快速
transcript.whisperx[63].start 4184.087
transcript.whisperx[63].end 4201.831
transcript.whisperx[63].text 委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳
transcript.whisperx[64].start 4209.202
transcript.whisperx[64].end 4212.665
transcript.whisperx[64].text 新資部分有人看嗎?有人在做處理嗎?
transcript.whisperx[65].start 4224.722
transcript.whisperx[65].end 4226.682
transcript.whisperx[65].text 提升專業及任職意願同時供應學生完備之輔導資商管道各級主管機關皆應寬列預算並逐年由中央主管機關
transcript.whisperx[66].start 4249.447
transcript.whisperx[66].end 4258.756
transcript.whisperx[66].text 會商直轄市縣市主管機關檢討並調整運行策略以符本向意旨
transcript.whisperx[67].start 4274.383
transcript.whisperx[67].end 4296.65
transcript.whisperx[67].text 同時提供學生完備這樣可以嗎?好 可以 我們在條文上面我來呼應一下 這條文是我們是要來提升專業者專業及任職意願我們就來看看我們的附帶決議的提升意願很重要的就是薪資真的不要以為助人公主都在做功德了沒有這種事了 好不好他們能夠到第一線去幫大家來做輔導本身就已經在做功德了
transcript.whisperx[68].start 4304.27
transcript.whisperx[68].end 4329.236
transcript.whisperx[68].text 來我們來看一下負債決議我們剛剛討論了這個部分是請誰對於負債決議因為我們剛剛已經特別提到我們要同樣的要會同嘛對不對我們剛剛已經提到了我們同樣要會同人總嘛主計處嘛共同演繹來人總跟主計處誰可以來對於我們所提出的負債決議的薪資加給的部分提出建議夫人之長好謝謝
transcript.whisperx[69].start 4335.469
transcript.whisperx[69].end 4335.489
transcript.whisperx[69].text 來 麥克風
transcript.whisperx[70].start 4347.907
transcript.whisperx[70].end 4366.258
transcript.whisperx[70].text 主席跟委員各位先進那我簡單報告一下第一個就是說如果說我們這個輔導中線人員是正式公務人員的話自然他的待遇就進入到正式公務人員的條件去處理所以可以不必在這邊另外去做處理那另外這邊有提到就是我先針對那個柯委的這個
transcript.whisperx[71].start 4367.679
transcript.whisperx[71].end 4388.277
transcript.whisperx[71].text 公務人員這個就可以不用處理了好不好政治公務人員吵了好幾天了接下來就是說我們在那個我先談先報告柯委員這個公號1的這個部分跟公號第一點跟第二點部分因為我們現在有福島中心設置辦法這是教育部主管的法令那這個部分會涉及到跟衛福部目前的
transcript.whisperx[72].start 4389.578
transcript.whisperx[72].end 4417.25
transcript.whisperx[72].text 社工人員之間待遇的這個橫評那這邊的意見當然未來是作為我們的討論所參考的使用那第三點的部分因為保護性社工這個是目前是最高但是它所面臨的那個第一線的工作環境是當初是有特別不一樣所以才有特別另外這樣的處理那如果這邊把一般學校的輔導的部分提高到跟保護性社工一樣相對的保護性社工這邊所面臨的第一個職場的環境它是不一樣的
transcript.whisperx[73].start 4417.97
transcript.whisperx[73].end 4439.463
transcript.whisperx[73].text 所以這邊會也需要跟衛福部這邊在一起來討論那第三個第四點部分要回認的部分因為回認部分這部分因為是剛剛有提到因為他們是約聘用人員本來就是在新典責任率上面去做處理所以我們建議這個第四點這部分這個是可以把它拿掉不要不需要有
transcript.whisperx[74].start 4440.123
transcript.whisperx[74].end 4465.544
transcript.whisperx[74].text 第五點因為證照部本來我們擔任輔導的時候上次我就跟林報告過他本來就是有專業證照那衛福部這個補助民間單位的這個計畫因為衛福部這個計畫補助明年他未必是有專業證照所以當初為了鼓勵這些人去取得專業證照所以衛福部才會有這樣的方案說給他提高新點
transcript.whisperx[75].start 4466.144
transcript.whisperx[75].end 4490.276
transcript.whisperx[75].text 或是鼓勵你如果進入因為你沒有專業證照所以我們就鼓勵你雖然已經在民間擔任這個工作所以我們希望你取得專業證照但我們學校這不一樣因為我們學校這本來你進來就要有專業證照這個前提已經擺在這個地方上所以這兩個的立法本意是不太一樣我就在上次有做一個報告 謝謝
transcript.whisperx[76].start 4490.996
transcript.whisperx[76].end 4508.263
transcript.whisperx[76].text 這次的部分完全沒有辦法說服我特別請教一下特別是在有證照的部分在有證照的部分當然是這樣就像我到我的學校去任教我有博士資格可是他在我因為我有博士資格他還是每個人進去大學就都有博士資格可是學校還是因為你有博士資格還是給你額外因為他們認為給你的薪資很低
transcript.whisperx[77].start 4510.504
transcript.whisperx[77].end 4530.173
transcript.whisperx[77].text 就這樣那你的社工證我覺得我上次也特別反應過了我覺得每次拿資輔裡面都要拿社工來綁標然後就因為社工人員社工人員本來的薪資你們本來就給人家非常的低的這個部分你現在對這些資輔人員來說的話本來你給人家的部分是在地下室我講個舉例來說你本來是在地下室你現在把他從你不能從一樓開始給他起薪嗎所以說你不能拿過去已經是一個錯誤的這是我不斷的提到的
transcript.whisperx[78].start 4538.257
transcript.whisperx[78].end 4562.77
transcript.whisperx[78].text 所以政造你這個理由不是不是這樣子政造即使你32新點對於目前來說所有已經具有政造的人來說他這樣子的一個增加還是有他的必要性因為他們過去有政造這些人你給他是低於樓地板的一層樓地下室現在只不過是希望能夠變成從一樓來開始來做這樣的一個討論所以不是有沒有政造的這個問題就誠如我剛剛所提到的
transcript.whisperx[79].start 4564.931
transcript.whisperx[79].end 4574.114
transcript.whisperx[79].text 每個人進到學校當教授都有博士學位但是博士學位還是有我們的學術佳績啊所以不是因為你有才給你聽起來本來就是需要這個資格所以這樣的條文還有你特別提到的還是一句話每一次都是用我們社工人員如何所以我們的這個資輔人力就必須要跟他一樣才有一個橫頻的效果社工你已經給人家很低了我想在場的每個人都知道
transcript.whisperx[80].start 4591.218
transcript.whisperx[80].end 4620.784
transcript.whisperx[80].text 所以我今天不能用這個方法來討論我們這個薪資這是本人要再次提到的好 委員我跟您報告一下就是說剛剛我們就已經提到前面就是要由教育部、衛福部大家會一起討 一起來原商嘛對對那接下來就是說因為我們這邊如果是直接去用那個新點加我們目前這些人用的那個新點表會變成它原來的新點表就不是你會你加進去的新點會不等於現在的新點表上面的這個部分所以我們才不建議因為譬如說
transcript.whisperx[81].start 4621.224
transcript.whisperx[81].end 4623.166
transcript.whisperx[81].text 請問我們在今天協商之前是不是你們就應該跟衛福部有一些討論?現在有共同討論嗎?
transcript.whisperx[82].start 4643.483
transcript.whisperx[82].end 4670.798
transcript.whisperx[82].text 教育部不好意思部長我們提到薪資我說是重中之重所以這個東西人總要會同教育部跟這個所謂的教育部一起討論請問你們有事前討論嗎為什麼到現在為止還是告訴我還要再會同衛福部啊不是就已經說我們今天要討論這個議題的嗎你們到底有沒有會同衛福部啊沒有的話我們這邊坐在這邊所有的委員坐在這邊一排坐在這邊我們眼睜睜看你們不是白搭嗎這鞋子衝啥各位委員呼應一下好不好
transcript.whisperx[83].start 4673.91
transcript.whisperx[83].end 4699.884
transcript.whisperx[83].text 難怪剛剛會說要保留因為就感覺沒辦法我們上一禮拜就是以這個東西為重中之重你們告訴我要是人種還有主機處、衛福部不是大家都一同討論嗎那我們倒是因為你告訴我還要繼續討論那你把我們這些委員當潘啦我們先休息十分鐘休息五分鐘好不好
transcript.whisperx[84].start 4702.037
transcript.whisperx[84].end 4727.017
transcript.whisperx[84].text 主席是把它列在互代決議然後我們根據這個去我們事實上私底下是有討論的那討論的結果呢我們今天不是要把它提出來我們今天就是要討論這些啊你可以範圍的部分任何誰的版本都可以但是你起碼要告訴我你們大家都覺得流行很重要啊那你們到底討論的結果是怎麼做要告訴我們一下吧有啦這一個問題但是現在要怎麼改觀
transcript.whisperx[85].start 4730.54
transcript.whisperx[85].end 4736.585
transcript.whisperx[85].text 這本獎是典軌說今天要協商 典軌說今天要協商就是讓每個黨員、各部會都可以有你協商版本就對了 我今天坐在這裡你還跟我說還跟別人說還沒討論也沒協商 他們真的會花費
transcript.whisperx[86].start 4761.946
transcript.whisperx[86].end 4762.086
transcript.whisperx[86].text 蔣麗玉議員蔣麗玉議員
transcript.whisperx[87].start 4779.632
transcript.whisperx[87].end 4780.893
transcript.whisperx[87].text 來 等一下 休息時間
transcript.whisperx[88].start 4801.855
transcript.whisperx[88].end 4804.777
transcript.whisperx[88].text 委員黃秀芳等1委員黃秀芳等1委員黃秀芳等1委員黃秀芳等1委員黃秀芳等1
transcript.whisperx[89].start 4821.732
transcript.whisperx[89].end 4843.082
transcript.whisperx[89].text 委員黃秀芳等19人擬具、「學生輔導法部分條文修正草案》、委員黃秀芳等19人擬具、「學生輔導法部分條文修正草案》、委員黃秀芳等19人擬具、「學生輔導法部分條文修正草案》、委員黃秀芳等19人擬具、「學生輔導法部分條文修正草案》、委員黃秀芳等19人擬具、「學生輔導法部分條文修正草案》、委員黃秀芳等19人擬具、「學生輔導法部分條文修正草案》、委員黃秀芳等19人擬具、「學生輔導法部分條文修正草案》、委員黃秀芳
transcript.whisperx[90].start 4846.775
transcript.whisperx[90].end 4874.352
transcript.whisperx[90].text 審查委員范雲等19人擬具:「學生輔導法部分條文修正草案:本院教育及文化委員范雲等19人擬具:「學生輔導法部分條文修正草案:本院教育及文化委員范雲等19人擬具:「學生輔導法部分條文修正草案:本院教育及文化委員范雲等19人擬具:「學生輔導法部分條文修正草案:本院教育及文化委員范雲等19人擬具:「學生輔導法部分條文修正草案:本院教育及文化委員范雲等19人擬具:「學生輔導法部分條文修正�
transcript.whisperx[91].start 4876.053
transcript.whisperx[91].end 4881.881
transcript.whisperx[91].text 立法院朝野黨團協商:本院教育及文化委員會報告併案審查委員范雲等19人擬具
transcript.whisperx[92].start 4891.715
transcript.whisperx[92].end 4906.843
transcript.whisperx[92].text 委員張雅琳等19人擬具、「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具、「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具、「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具、「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具
transcript.whisperx[93].start 4907.923
transcript.whisperx[93].end 4919.008
transcript.whisperx[93].text 委員張雅琳等19人擬具、「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具、「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具
transcript.whisperx[94].start 4929.412
transcript.whisperx[94].end 4939.055
transcript.whisperx[94].text 委員黃秀芳等1委員黃秀芳等1委員黃秀芳等1委員黃秀芳等1委員黃秀芳等1委員黃秀芳等1委員黃秀芳等1委員黃秀芳等1委員黃秀芳等1委員黃秀芳等1
transcript.whisperx[95].start 4955.84
transcript.whisperx[95].end 4964.624
transcript.whisperx[95].text 委員張雅琳等19人擬具、「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具、「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具
transcript.whisperx[96].start 4968.057
transcript.whisperx[96].end 4989.942
transcript.whisperx[96].text 委員林宜瑾等19人擬具、「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳
transcript.whisperx[97].start 4990.362
transcript.whisperx[97].end 5009.308
transcript.whisperx[97].text 審查委員范雲等17人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅
transcript.whisperx[98].start 5010.145
transcript.whisperx[98].end 5031.78
transcript.whisperx[98].text 委員張雅琳等19人擬具、「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳
transcript.whisperx[99].start 5034.031
transcript.whisperx[99].end 5039.476
transcript.whisperx[99].text 董事長、董事長、董事長、董事長、董事長、董事長、董事長、董事長、董事長
transcript.whisperx[100].start 5058.915
transcript.whisperx[100].end 5085.983
transcript.whisperx[100].text 審查委員范雲等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅
transcript.whisperx[101].start 5087.363
transcript.whisperx[101].end 5108.017
transcript.whisperx[101].text 委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳
transcript.whisperx[102].start 5108.357
transcript.whisperx[102].end 5115.363
transcript.whisperx[102].text 立法院朝野黨團協商:立法院朝野黨團協商:立法院朝野黨團協商:立法院朝野黨團協商:
transcript.whisperx[103].start 5131.237
transcript.whisperx[103].end 5131.257
transcript.whisperx[103].text
transcript.whisperx[104].start 5159.178
transcript.whisperx[104].end 5180.505
transcript.whisperx[104].text 這本席就是強力的希望能夠在還是一句話吧薪資的提升是最實際的如果薪資沒有辦法提升我說實在我們修這一步法還是留有非常多的遺憾我們都很難面對江東復老了來啦 部長這附帶決議不管是柯真委員提出來或是范雲委員提出來的教育部請給一個說法好不好會總監 會總監
transcript.whisperx[105].start 5187.432
transcript.whisperx[105].end 5212.65
transcript.whisperx[105].text 謝謝主席我想我們事實上跨黨派對這一個怎麼樣是確保我們這一些辛苦人力辛苦人員他們專業而且能夠有更高的一個留職意願來協助我們學校來推動學生的心理輔導有一個更好的一個支持力量我想我們會後我願意來
transcript.whisperx[106].start 5215.073
transcript.whisperx[106].end 5215.774
transcript.whisperx[106].text 陳佩玉委員
transcript.whisperx[107].start 5230.127
transcript.whisperx[107].end 5256.874
transcript.whisperx[107].text 我覺得我還是要說一下啦就是在學復法的過程當中我真的很感謝昭緯也一直echo我的辦公室的討論可是我當然也支持這些現場的同仁們可是我現在想要問的是提高新典折合率這件事情的算法我們其實剛剛在聽任總這邊說明的時候我真的還是沒有很清楚當然我知道現場的困境真的很大所以剛剛部長的回應也真的很感謝那只是說
transcript.whisperx[108].start 5258.959
transcript.whisperx[108].end 5278.426
transcript.whisperx[108].text 除了這個新點折合率之外另外第四點督導回認年資問題這個我認同跟職務加給就是再把職務加給的部分所以我覺得今天這一張附帶決議裡面有太多太多的細節真的要請那個算錢的算人員的拜託給我們更專業的建議好不好謝謝
transcript.whisperx[109].start 5281.724
transcript.whisperx[109].end 5308.446
transcript.whisperx[109].text 年資是可以算啦但是加級因為他既然沒有當督導就沒有加級就像我們今天師長如果他不再當主管他同職等變成督學他事實上就沒有主管加級所以這一個部分我想督導回任的年資這個年資應該納進去我覺得這是合理但是他因為回任以後回任為這個一般的這個辛苦人員他當然就沒有所謂的職務加級
transcript.whisperx[110].start 5310.648
transcript.whisperx[110].end 5335.163
transcript.whisperx[110].text 這跟他的任務跟他的職責是有關聯的但他起碼在當督導的那一段的年資本來就是本來就給他併入才對嘛要好不好所以因為這個部分是加薪資事體大所以呢因為我們好所以部長有承可是部長你剛剛的說法是你承諾會努力的爭取所以意思就是說
transcript.whisperx[111].start 5336.212
transcript.whisperx[111].end 5339.794
transcript.whisperx[111].text 也有可能還是回歸到原點 爭取沒有到
transcript.whisperx[112].start 5345.255
transcript.whisperx[112].end 5366.533
transcript.whisperx[112].text 來 可不可以回應一下等一下部長要回應那我可不可以順便問另外一個問題也是在教委的版本裡面第五點教委擬停了兩個方案一個是方案一參考衛福部第二個是參考國內大專院校我覺得這個事情是不是也還是要請你們說明一下就是這兩個方案的優缺點或者是更適合現場的實務狀況因為剛剛教委也提醒了還有地方政府經費的問題
transcript.whisperx[113].start 5368.314
transcript.whisperx[113].end 5377.705
transcript.whisperx[113].text 大縣市的問題就是他會花很多錢小的縣市他搞不好就是補不足這樣的人那一併的考慮下我們其實需要更多意見讓我們知道好不好謝謝
transcript.whisperx[114].start 5381.314
transcript.whisperx[114].end 5393.204
transcript.whisperx[114].text 因為我個人覺得啦裴育委員雖然很謝謝你會仔細的看我們這個部分啦不過現在卡在前的部分裡面當中因為我們我跟范育委員其實都提的還蠻細節的我覺得這種併的方法把我們這兩個附帶決議室一併帶回去四個單位共同來我現在還是要請
transcript.whisperx[115].start 5400.69
transcript.whisperx[115].end 5425.152
transcript.whisperx[115].text 佈長回應我剛剛所提到的大家對於這樣一個薪資的調整都認為它是留任一個非常重要的一個關鍵那部長也願意去努力那我剛剛只是多問了一句如果行政院還是以他們自己的預算經費的一個限制沒有辦法達到任何的一個結果的話是不是這樣子的部分我們又是回到一個原點還是部長在此時此刻其實可以給在場所有的第一線的助人工作者
transcript.whisperx[116].start 5426.428
transcript.whisperx[116].end 5436.841
transcript.whisperx[116].text 一些可以讓他們覺得我們有正在幫他們爭取的這樣子的一些的隻字片語可以嗎還是還是得回去做討論
transcript.whisperx[117].start 5439.5
transcript.whisperx[117].end 5467.723
transcript.whisperx[117].text 我想這個額度不曉得啦我不敢我還是要從政府的整體的一個總體這個財政這個來看但是朝這一個加薪的那個方向是我們努力的而且我希望應該大家都既然大家的心念功都有很高的一個共識我認為我是樂觀的那至於督導回任年資那個我覺得是合理
transcript.whisperx[118].start 5470.009
transcript.whisperx[118].end 5494.897
transcript.whisperx[118].text 就是樂觀的操作部長樂觀的操作型定義好不好舉例來說從4400多加到4這個叫操作型定義好不好部長你是樂觀的其實不用論我對薪資的結構我真的比較外行因為朝我們的理想絕對不會讓我們太失望對不對
transcript.whisperx[119].start 5497.618
transcript.whisperx[119].end 5523.172
transcript.whisperx[119].text 我想歡迎委員已經講我不會讓各位失望的謝謝那因為薪資的部分我們因為還是要因為我還是要特別跟大家說一下因為薪資的部分還是需要有我們還是需要這四個單位共同來嚴寧啦但是我再一次的呼籲社工人員我們還是要尊重還是要給人家在薪資的值等上面他們所遭遇的處境其實是相當的一個辛苦的
transcript.whisperx[120].start 5523.852
transcript.whisperx[120].end 5551.522
transcript.whisperx[120].text 但是呢不能因為社工人員已經大家已經很對不起他了然後資輔人員因為不想讓社工人員覺得有相對剝奪感所以把資輔人員的這個薪資也跟著要扯平我覺得這樣的概念是完全是不能夠接受的我們就責成在我們的附帶決有關薪資的部分留給我們教育部部長來做一個統合在我們八月的臨時會當中我們在一次的協商的時候我們就一定具體的把它提出來這樣可不可以那我們是不是可以先通過第四條的我們的條文好不好第四條的條文
transcript.whisperx[121].start 5552.882
transcript.whisperx[121].end 5554.223
transcript.whisperx[121].text 委員林宜瑾等18人擬具第十一條條文修正草案
transcript.whisperx[122].start 5573.101
transcript.whisperx[122].end 5600.37
transcript.whisperx[122].text 還有范雲委員你就有三個好不好還有葛如君委員還有林彥秀委員柯真委員剛剛你說已經保留了這是誰范雲委員還有范雲委員你有四個好不好范雲委員認為可以一起保留好不好好那我們就所有的附帶決決一起保留謝謝來我們進入到第五條第五條我們把第五條上次的第五條把它拿出來好不好
transcript.whisperx[123].start 5601.892
transcript.whisperx[123].end 5605.474
transcript.whisperx[123].text 各位第五條完之後其實就最後就是第十一條比較重要第五條沒有我們先討論第五條我們上那個什麼第五條的我們當初的保留誰可以幫我回一下那個職能治療師職能治療師好我們藍綠各有人非常為職能治療師在發聲好啦來來那個羅廷偉委員跟張雅琳委員
transcript.whisperx[124].start 5631.325
transcript.whisperx[124].end 5656.646
transcript.whisperx[124].text 好 謝謝趙偉我想學生輔導諮詢會相關人員我希望還是能夠增加職能治療師那我再次表達學生輔導諮詢相關人員應該正面表列我個人比較沒辦法接受那教育部說這個職能治療師屬於這個身體上的一個附件那我要跟大家分享身體上的附件就我所知道台中市市有所謂的物理治療師
transcript.whisperx[125].start 5657.847
transcript.whisperx[125].end 5658.167
transcript.whisperx[125].text 主席
transcript.whisperx[126].start 5679.448
transcript.whisperx[126].end 5680.029
transcript.whisperx[126].text 委員黃秀芳等19人擬具
transcript.whisperx[127].start 5694.472
transcript.whisperx[127].end 5712.671
transcript.whisperx[127].text 張雅琳委員講完說我們請衛福部也一起來回應一下好那我也是希望幫職能治療師爭取因為我過去長期的跟職能治療師一起在合作那其實他們並不是只有在做身體的部分其實他們的養成訓練跟現場的實務上面其實都做非常多的心理的部分心理
transcript.whisperx[128].start 5715.603
transcript.whisperx[128].end 5741.777
transcript.whisperx[128].text 在這個領域已經有跟特殊教育的合作其實已經有一個非常長遠的歷史那所以呢因為我自己在現場我也看到很多小孩子他們其實是還沒有得到特教生的鑑定資格或者是因為受限於家長不讓他們去鑑定而早生他一直無法以特教的身份來去取得相關的資源所以我還是希望這些造成困擾的小孩呢我還是希望我們可以在這個
transcript.whisperx[129].start 5743.761
transcript.whisperx[129].end 5752.535
transcript.whisperx[129].text 現在的相關專業人員裡面上去列上職能治療師來讓所有的小孩可以得到更多的支持 謝謝
transcript.whisperx[130].start 5753.595
transcript.whisperx[130].end 5776.596
transcript.whisperx[130].text 好 謝謝陳佩玉委員好 謝謝主席關於職能治療師的部分確實我們知道在現場的職務可能如果他進入學服部法的概念就會是當學生沒有被發現他可能有輔導的困境他可能是因著別的生理因素而產生的困境所以呢我猜想雅琳委員或者是羅廷委員的建議是希望一併把職能治療師邀請進來在這個團隊裡面討論
transcript.whisperx[131].start 5779.358
transcript.whisperx[131].end 5801.339
transcript.whisperx[131].text 可是我其實想要回到專業的角度來請教教育部因為我們之前在修特教法的時候其實有意識到這個事情那我們自己後來在看學復法的時候我們也問過教育部關於特教生的心輔資源這件事情它到底是比較多的概念是落在所謂特教老師還是三級輔導機制這件事情到底那個先後的順序
transcript.whisperx[132].start 5802.72
transcript.whisperx[132].end 5808.262
transcript.whisperx[132].text 我們當然知道很多事情它不是看先後順序可是問題是在實務的現場它就會有先後順序的倫理要處理所以我可不可以拜託教育部在這個部分先做回應先不是說要不要放的問題而是目前你們所收集到現場的實務狀態大概會是什麼好 謝謝好 那我們請還有范雲委員
transcript.whisperx[133].start 5829.157
transcript.whisperx[133].end 5839.605
transcript.whisperx[133].text 關於職能治療師的部分因為他們的相關協會也有跟我們反映說事實上輔導業務常常會涉及到需要職能治療師的儲育性輔導的時候至少應該讓地方能夠聘請職能治療師的代表
transcript.whisperx[134].start 5844.708
transcript.whisperx[134].end 5867.817
transcript.whisperx[134].text 所以我是支持在輔助中心輔導業務涉及的時候就是應該要能夠找他們那所以到底是直接明文就放在我們的跟其他的相關專員包括臨床心理師這樣還是說錢款以外之學的專家明白指出說包括例如職能治療師等這部分
transcript.whisperx[135].start 5868.197
transcript.whisperx[135].end 5868.357
transcript.whisperx[135].text 委員黃秀芳等19人擬具
transcript.whisperx[136].start 5888.067
transcript.whisperx[136].end 5888.307
transcript.whisperx[136].text 主席主席
transcript.whisperx[137].start 5916.235
transcript.whisperx[137].end 5936.624
transcript.whisperx[137].text 學生輔導法第六條第二項第三款對於處遇性的輔導的內涵以及所提供的服務已經說得很清楚因為處遇性的輔導最重要的是要提供整合性的服務整合哪些整合各類的資源跟各類的專業服務那當然職能治療也是其中一種
transcript.whisperx[138].start 5937.324
transcript.whisperx[138].end 5937.844
transcript.whisperx[138].text 佛智慧委員
transcript.whisperx[139].start 5961.937
transcript.whisperx[139].end 5975.38
transcript.whisperx[139].text 委員黃秀芳等19人擬具:「學生輔導法部分條文修正草案》、委員黃秀芳等19人擬具:「學生輔導法部分條文修正草案》、委員黃秀芳等19人擬具:「學生輔導法部分條文修正草案》、委員黃秀芳等19人擬具:「學生輔導法部分條文修正草案》、委員黃秀芳等19人擬具:「學生輔導法部分條文修正草案》、委員黃秀芳等19人擬具:「學生輔導法部分條文修正草案》、委員黃秀芳等19人擬具:「學生輔導法部分條文修正草案》、委員黃秀芳
transcript.whisperx[140].start 5985.382
transcript.whisperx[140].end 5986.443
transcript.whisperx[140].text 主席主席主席主席
transcript.whisperx[141].start 6012.415
transcript.whisperx[141].end 6015.28
transcript.whisperx[141].text 佳談或諮商需求
transcript.whisperx[142].start 6022.608
transcript.whisperx[142].end 6048.386
transcript.whisperx[142].text 在先後順序上應該是先輔導的尤其是在學習障礙跟情緒障礙來講都會需要先經由學校一般性的輔導一段時間並且做成觀察的紀錄之後憑藉著這些輔導的措施以及觀察的紀錄提報申請鑑定鑑定通過之後他才能取得特教生的身份進而由特教老師來提供特教服務不過
transcript.whisperx[143].start 6049.147
transcript.whisperx[143].end 6068.122
transcript.whisperx[143].text 因為鑑定相對嚴謹也有可能在輔導一段期間觀察紀錄等等還不足以判斷他的身份很可能也會鑑定他為疑似學生那疑似生這一塊在目前國教署的規劃是已經允許由特教來提供協助了
transcript.whisperx[144].start 6068.762
transcript.whisperx[144].end 6084.918
transcript.whisperx[144].text 當然是很期待在服務的過程更嚴謹的收集資料幫助他取得身份並且能夠很正式的納入特教的一個服務的範疇我先做這樣以上說明等一下等一下你剛剛是把職能製造師放到哪裡對不起我剛剛你的訊息太多你把它放到哪裡
transcript.whisperx[145].start 6085.518
transcript.whisperx[145].end 6097.844
transcript.whisperx[145].text 第二款 前款以外知識專家然後你會在立法說明裡面把這些你相關的包括職能治療師跟其他的部分包括家庭輔導包括法律服務等等的相關
transcript.whisperx[146].start 6099.484
transcript.whisperx[146].end 6099.944
transcript.whisperx[146].text 處遇性輔導會連結各類資源
transcript.whisperx[147].start 6123.811
transcript.whisperx[147].end 6140.964
transcript.whisperx[147].text 有關委員問到職能治療這一塊職能治療在精神衛生裡面是相關專業至於說要不要把職能治療是納入這個就是在爐裂在這個諮詢會的人員上面這個我們尊重主管機關教育部的意見謝謝主席
transcript.whisperx[148].start 6151.058
transcript.whisperx[148].end 6166.926
transcript.whisperx[148].text 就是因為教育部需要你們的專業意見他們當然有他們現場在輔導現場但是他們更需要你們告訴他們你們就職能治療師過往的工作經驗也許有一些狀況可以跟教育部分享
transcript.whisperx[149].start 6167.606
transcript.whisperx[149].end 6194.626
transcript.whisperx[149].text 因為當然司長他現在的寫法是給了一個解方可是我也說說不確定雅琳委員跟廷文委員是不是可以接受這個寫法所以而且我相信我們一般人遇到職能治療師的狀態怎麼樣可能在學校現場是比輔導老師少很多那少很多的原因是因為過往沒有機會邀請他們所以少很多還是因為真的不需要所以少很多所以可不可以就你們的專業告訴我們更多意見好嗎 謝謝
transcript.whisperx[150].start 6196.167
transcript.whisperx[150].end 6206.972
transcript.whisperx[150].text 呃不好意思我補充一下請問一下您是新建師的代表嗎?對不對?那會不會是因為要醫師師才比較能夠回答這一題?對不對?
transcript.whisperx[151].start 6214.4
transcript.whisperx[151].end 6229.711
transcript.whisperx[151].text 對所以我怕說不同師會不會沒辦法回答但是我還是希望你能夠說明不要只是我們委員在幫他們講話我們希望有衛福部來幫忙認定他的一個代表性或他的職能上能夠協助到的真正幫助到的他的重要性
transcript.whisperx[152].start 6231.506
transcript.whisperx[152].end 6258.641
transcript.whisperx[152].text 各位委員報告就是說剛剛我提到從我們精神衛生的角度來看職能治療師確實是我們精神衛生裡面就是專業的一環專業人員的一環那我覺得是說就是回到這個法條我們在成立這樣的一個諮詢會裡面教育部在成立這樣的一個諮詢會裡面它的一個目的那去衡量說這樣的一個職能治療師是不是要如列在你們的這個
transcript.whisperx[153].start 6259.582
transcript.whisperx[153].end 6273.248
transcript.whisperx[153].text 范雲等19人擬具:「學生輔導法部分條文修正草案》、委員張雅琳等19人擬具:「學生輔導法部分條文修正草案》、委員黃秀芳等19人擬具:「學生輔導法部分條文修正草案》、委員黃秀芳等19人擬具:「學生輔導法部分條文修正草案》、委員黃秀芳等19人擬具:「學生輔導法部分條文修正草案》、委員黃秀芳等19人擬具:「學生輔導法部分條文修正草案》、委員黃秀芳等19人擬具:「學生輔導法部分條文修正草案》、委員黃秀芳等19人
transcript.whisperx[154].start 6279.4
transcript.whisperx[154].end 6279.84
transcript.whisperx[154].text 委員黃秀芳等19人擬具
transcript.whisperx[155].start 6305.729
transcript.whisperx[155].end 6328.744
transcript.whisperx[155].text 那其他的你需要把它列在那個第一款相關專業人員我也是想要呼應這一點就是說因為畢竟他就是精神衛生這可能過去大家並不是那麼熟悉啦所以可能並不會去找他但事實上他們的確在很多的時候是協助了很多孩子在去做這些相關的心理輔導的工作所以還是希望可以在第一個第一項裡面呢就把職能治療師給列入謝謝
transcript.whisperx[156].start 6330.965
transcript.whisperx[156].end 6353.974
transcript.whisperx[156].text 因為如果衛福部都這樣說了我們還不把它列入那我們怎麼會把精神健康這個部分可以一起來溝通討論的特別把它摒除負面表列我覺得很奇怪所以這個部分來誰這個部分我常常對薪資比較有意見其他我都沒意見
transcript.whisperx[157].start 6358.581
transcript.whisperx[157].end 6382.116
transcript.whisperx[157].text 因為第一項看起來都是臨床心理、諮商心理、社會工作室及精神科醫生那如果我們在第二項後面不要放在那個說明文字直接說前款以外之學者、專家、痘號包括職能治療師等呢這樣會不會這個地位就更明確然後也不會感覺上排擠到第一項的人員的參與
transcript.whisperx[158].start 6384.477
transcript.whisperx[158].end 6391.189
transcript.whisperx[158].text 因為大家都希望能夠有更好的身份一起來貢獻這一塊嘛都是正面的來 最後一步可以嗎
transcript.whisperx[159].start 6392.685
transcript.whisperx[159].end 6419.053
transcript.whisperx[159].text 我還是想要支持在第一項教育部也可以在不過我們說實在在我們自己在這個在真的第一線的工作上面的確就是他所條列的臨床諮商社工跟精神這四個大項是我們一般所對準的一個直接的一個對象這是事實這絕對是事實了因為我後面還有太多太多所以他才特別用第二這叫款嗎對不起我也同樣地問
transcript.whisperx[160].start 6419.833
transcript.whisperx[160].end 6431.624
transcript.whisperx[160].text 所以才會在第二款之外把一些額外的部分把它做條列不過這一點我們不堅持我們教育部的意見因為有這麼堅持嗎教育部不好意思因為這是對象的問題教育部比較簡單的方式來說第一款是主力學生輔導的主力就是靠這四類人員
transcript.whisperx[161].start 6448.274
transcript.whisperx[161].end 6467.533
transcript.whisperx[161].text 對 那職能治療、家庭輔導或者法律服務他其實是站在後面第二線支援的就是當我前面這四類我覺得他的有些問題我沒辦法處理我需要外面的人進來支援他才會拉到第二線去啦所以如果要放在第二款如同剛才
transcript.whisperx[162].start 6469.275
transcript.whisperx[162].end 6472.557
transcript.whisperx[162].text 委員范雲等19人擬具 «學生輔導法部分條文修正草案》、委員張雅琳等19人擬具
transcript.whisperx[163].start 6490.879
transcript.whisperx[163].end 6510.439
transcript.whisperx[163].text 我剛剛那個問題司長沒有回應我耶就是說第二項到底就是我們所講的這些相關專業人員裡面組成上有沒有專輔人員因為你那個部分如果是臨床心理師、資深心理師等等但他都沒有參加到學校的專輔人員的話這個部分是不是可以說明一下
transcript.whisperx[164].start 6512.801
transcript.whisperx[164].end 6523.332
transcript.whisperx[164].text 請說我先說其實在第一款的心理師設公司其實就包含在裡面的你當然也可以聘你的輔治中心的
transcript.whisperx[165].start 6524.696
transcript.whisperx[165].end 6552.365
transcript.whisperx[165].text 主任或者是督導當然可以拚但你覺得我可能需要更師傅級的把專家他就第一項了通常我們都認為這種比較屬於事務層級他可能是工作小組的他不會是放在諮詢委員會裡面的以上說明能不能在那個說明欄裡面讓那個學校的那個輔助中心的人也會有參與的代表在裡面好不好
transcript.whisperx[166].start 6553.34
transcript.whisperx[166].end 6553.62
transcript.whisperx[166].text 請衛福部來回應一下
transcript.whisperx[167].start 6574.966
transcript.whisperx[167].end 6594.798
transcript.whisperx[167].text 我來回應好了啦通常我所以學校在我們的實務工作現場當中他們第一款所提到的這個相關專業人員來說我們完全沒有否定職能治療師的一個專業這絕對是個事實但是在我們的group大家一起來工作的話的確臨床諮商社工跟精神這四款通常就是我們主軸的一個範圍
transcript.whisperx[168].start 6595.858
transcript.whisperx[168].end 6596.178
transcript.whisperx[168].text 委員黃秀芳等19人擬具
transcript.whisperx[169].start 6625.738
transcript.whisperx[169].end 6625.918
transcript.whisperx[169].text 佳玲
transcript.whisperx[170].start 6653.41
transcript.whisperx[170].end 6657.796
transcript.whisperx[170].text 教育輔導、心理、犯罪防治、職能治療或藝術治療等相關學者專家
transcript.whisperx[171].start 6667.202
transcript.whisperx[171].end 6681.015
transcript.whisperx[171].text 是 不好意思沒有辦法了啦 那個廷偉我講完就好了你可以 好感謝所有台中職能治療協會感謝羅廷偉委員為他們大力的支持因為沒有放進去都是因為其他委員認為在立法說明
transcript.whisperx[172].start 6682.196
transcript.whisperx[172].end 6684.597
transcript.whisperx[172].text 委員林宜瑾等19人擬具《學生輔導法部分條文修正草案》、委員張雅琳等19人擬具
transcript.whisperx[173].start 6707.851
transcript.whisperx[173].end 6724.985
transcript.whisperx[173].text 這次感謝張雅琳委員跟羅廷偉委員作為會議記錄他們從第一次到現在每一天都為職能治療師來做最強力的發言我們都感受到了所以我們一定你還可以好了還有個方式啦我們可以把那個職能治療藝術的往前放這樣好不好在裡面幫你有
transcript.whisperx[174].start 6725.285
transcript.whisperx[174].end 6725.425
transcript.whisperx[174].text 主席主席
transcript.whisperx[175].start 6747.761
transcript.whisperx[175].end 6769.459
transcript.whisperx[175].text 我幫兩位委員問一下既然都要寫進立法說明了在相關的實務上通常寫進立法說明學校或者是主管機關在組成這個學生輔導諮詢會的時候他們就有機會有這個法源依據可以邀請嗎那會有什麼實務上的困難讓兩位委員知道一下好不好實務上會有什麼困難
transcript.whisperx[176].start 6771.045
transcript.whisperx[176].end 6797.776
transcript.whisperx[176].text 讓他們原本想要照顧的團體的意見在實際的執行上可能會有遇到什麼樣的困難?除了張偉剛說的過往的工作慣性這個我們都可以理解會有什麼樣的困難嗎?如果沒有就說沒有這樣兩位委員就比較放心我先說因為前面講的那個諮商心理師、臨床心理師、設公司跟計程可以支持主力
transcript.whisperx[177].start 6798.649
transcript.whisperx[177].end 6822.546
transcript.whisperx[177].text 他一定是介入性輔導到一個程度進入到處遇性的時候這個還是有特殊的需求他會依照學生的需求去整合服務所以那個部分就是依學生的需求那你可以理解嗎我們的輔資會定期開會很有可能這次討論談不到職能治療下一次談 談不到職能治療我想各位可以理解我講的問題嗎
transcript.whisperx[178].start 6823.587
transcript.whisperx[178].end 6852.239
transcript.whisperx[178].text 有學生的問題因為他們討論的會從政策輔導政策規劃資源配置整體討論可是如果你沒有察覺有特殊的問題他就不會討論到職能治療的問題那那個人他來他只能對於我們的輔導工作有整體的理解一下參與過程給意見可是他不一定能討論到職能治療的議題我覺得這是事務上的限制若各委員都已經充分表達意見我們事務第五條就修正完通過謝謝那我們七支一條是陳培宇委員
transcript.whisperx[179].start 6856.294
transcript.whisperx[179].end 6866.858
transcript.whisperx[179].text 被點名我已經講很多了可不可以直接通過就好我認真再講一次就是那個自殺死因回溯的事情
transcript.whisperx[180].start 6869.295
transcript.whisperx[180].end 6888.449
transcript.whisperx[180].text 我們後來回去重新研究過了我們知道司長上次有講到說學校有那個相關的自殺死因的填報有那個校安事件可是現在實務現場是很多簡單的填一填還有就是他目前都是一個case一個case在填他基本上假設我
transcript.whisperx[181].start 6888.909
transcript.whisperx[181].end 6889.35
transcript.whisperx[181].text 委員黃秀芳等19人擬具
transcript.whisperx[182].start 6904.066
transcript.whisperx[182].end 6904.946
transcript.whisperx[182].text 委員黃秀芳等19人擬具
transcript.whisperx[183].start 6918.911
transcript.whisperx[183].end 6934.026
transcript.whisperx[183].text 自殺或自殺未遂嚴重自我傷害個案的回顧調查研究公布研究報告把這個研究報告作為後續制定相關政策甚至作為這次學復法修法完之後所有在現場工作的老師們很重要的依據跟參考
transcript.whisperx[184].start 6936.024
transcript.whisperx[184].end 6959.518
transcript.whisperx[184].text 那因為我認為我現在的七之一它不涉及組織的設立也不涉及人事的安排其實沒有動用到所謂人事相關的規範應該不會要讓人種或是族種再跑出來這樣所以到底現在的困難是不能還是不願意還是說到底還有什麼困難的地方是我們所沒有設想到的那還是要請教育部回應 謝謝
transcript.whisperx[185].start 6961.673
transcript.whisperx[185].end 6973.212
transcript.whisperx[185].text 好 教育部然後呢我特別附帶剛剛沒有提到的七之一部分我們還有范雲委員跟張雅琳委員所提出的修正動議還有陳培余的附帶決議好吧 我們一併來討論
transcript.whisperx[186].start 6976.892
transcript.whisperx[186].end 6988.455
transcript.whisperx[186].text 好 針對第七條之一我先做補充其實布里頭這幾年因為感受到自殺通報的數量增加很重視這個議題所以我們在111年的時候曾經檢討過我們的各級學校的自殺防...
transcript.whisperx[187].start 6997.837
transcript.whisperx[187].end 7021.873
transcript.whisperx[187].text 全自我傷害的三級預防工作計畫其實經過很懇切的檢討花了半年多的時間委託亞洲大學的科副校長然後也邀請很多學生提供意見所以已經完成了那個工作計畫的修訂在這個工作計畫當中修訂有一個很重要的精神就是針對每一個不幸的個案後面因為輔導人員在過程當中會有
transcript.whisperx[188].start 7024.855
transcript.whisperx[188].end 7025.195
transcript.whisperx[188].text 委員黃秀芳等19人擬具
transcript.whisperx[189].start 7038.41
transcript.whisperx[189].end 7039.11
transcript.whisperx[189].text 委員黃秀芳等19人擬具
transcript.whisperx[190].start 7068.951
transcript.whisperx[190].end 7069.251
transcript.whisperx[190].text 委員林宜瑾等19人擬具
transcript.whisperx[191].start 7093.493
transcript.whisperx[191].end 7108.023
transcript.whisperx[191].text 那當然我覺得這塊就是運作上確實有相當程度的難度那尤其是在委員所提到的那個第七條之一的第二項是要把那個調查研究辦法置立成法規我們認為這個涉及專業的問題還有這個議題坦白講是需要
transcript.whisperx[192].start 7113.807
transcript.whisperx[192].end 7140.283
transcript.whisperx[192].text 相當充分的討論那我們是建議說能不能不要急著第七條之一就入法能允許我們因為培育委員有提了一個附帶決議那我們是希望能夠依照陳培育委員的附帶決議我們來配合辦理那我們也很誠懇的願意來做這件事情邀集包括學者專家還有輔導工作者來進一步的做討論我們確實需要藉由研究調查而且兼顧質與量
transcript.whisperx[193].start 7142.191
transcript.whisperx[193].end 7142.431
transcript.whisperx[193].text 佩玉委員
transcript.whisperx[194].start 7160.78
transcript.whisperx[194].end 7165.582
transcript.whisperx[194].text 請問教育部會定期做一些相關研究嗎?在我的版本裡面並沒有第二項,那你覺得第一項的內容這樣是可以嗎?大家請教育部來回應陳菲玉委員還是范雲委員范雲委員先好了
transcript.whisperx[195].start 7191.115
transcript.whisperx[195].end 7211.673
transcript.whisperx[195].text 我本來是針對陳培委員的修正因為我覺得如果能夠加上就是對學生身心健康不利這個文字及知識統性因素逐年公佈去識別化之研究報告的話可能大家看到這個部分壓力就會小很多因為
transcript.whisperx[196].start 7212.814
transcript.whisperx[196].end 7227.613
transcript.whisperx[196].text 衛福部對我講到說其實這一類的個案非常難做因為自殺被污名化遺族悲傷調適的歷程跟相關方法的問題因為之前我記得我們公聽會的時候衛福部的這個說法
transcript.whisperx[197].start 7229.235
transcript.whisperx[197].end 7251.201
transcript.whisperx[197].text 很多相關學者專家都認為不是這個樣子這跟你的研究方法跟各方有關但這個其實是需要蠻多專業的討論所以我也不堅持一定要放在這最重要是說這個要做系統性的研究因為譬如說怡瑾跟我我們是念社會學的我們就覺得不一定要去觸及到個案
transcript.whisperx[198].start 7251.601
transcript.whisperx[198].end 7251.801
transcript.whisperx[198].text 主席
transcript.whisperx[199].start 7267.085
transcript.whisperx[199].end 7291.744
transcript.whisperx[199].text 我個人真的是覺得我們可以看一下這個培育委員的附帶決議我還是覺得7-1這個部分在我們討論學粉我自殺防治沒有人認為它絕對是重中之重但是應該去思考一下就是7-1有沒有必要把它放在正式的條文當中放在這一部法當中來做一個處理我覺得這位可能是等下教育部要表達一下意見的好不好
transcript.whisperx[200].start 7292.754
transcript.whisperx[200].end 7307.381
transcript.whisperx[200].text 我們在討論的那個我們在討論的時候其實有講過這個我也覺得很重要所以我主張我以前在做那個兒少全法的時候其實是要求那個六歲以下做那個死嬰逐一回合對入法但是因為六歲以下的樣態是因為他沒辦法表達
transcript.whisperx[201].start 7307.961
transcript.whisperx[201].end 7308.321
transcript.whisperx[201].text 委員黃秀芳等19人擬具
transcript.whisperx[202].start 7323.683
transcript.whisperx[202].end 7345.224
transcript.whisperx[202].text 我想那個昭偉是學那個應該知道就是說他可能去遇到感情問題同儕問題老師問題或者各種問題那如果每個族裔都要去做研究的話那事實上也不是不行我覺得很重要嘛對不對但是曾經我就問他們說那為什麼不能做他說因為曾經有這個計畫做好之後錢準備好要發包沒有人要做就是
transcript.whisperx[203].start 7347.338
transcript.whisperx[203].end 7372.932
transcript.whisperx[203].text 那個你招標要招標嗎就是可能就是范雲委員講的就是說這類的案子在實務上你要去做研究的時候對很多家庭的個案那個已經是傷心事你再問我就拒絕所以它會有很多很難做的好那是不是就不能做那個因素的回顧呢死因因素的回顧呢是可以就是說它有一些其實在發生當下的時候其實已經有一些
transcript.whisperx[204].start 7374.093
transcript.whisperx[204].end 7398.588
transcript.whisperx[204].text 有一些勾選或者做一些報告我是建議說那個報告可以再精進一點那將來可以拿那些東西來做一些那個因素的分析然後能夠從分析的因素裡面去找到可以預防的方式啦其實最近韓國他們也有這個問題韓國跟台灣的學生自殺率都很高他們最近也在訂一些計畫那希望3年後5年後能夠降低啦
transcript.whisperx[205].start 7399.088
transcript.whisperx[205].end 7399.929
transcript.whisperx[205].text 佩玉委員可以同意嗎?用附帶決議的方式
transcript.whisperx[206].start 7428.312
transcript.whisperx[206].end 7443.513
transcript.whisperx[206].text 我情感上有所保留但理智上我可以同意所謂情感上有所保留的意思就是說其實剛剛張大次長講了一個很重要的原因就是韓國跟我們台灣一樣的那個困境其實剛剛兩位長官所講的
transcript.whisperx[207].start 7445.936
transcript.whisperx[207].end 7462.29
transcript.whisperx[207].text 其實用我的話講是一樣的就是我們其實大人都不知道原因那研究的方法我也認同它有系統性的回顧調查很好沒有一定要逐案所以我也如果要回到條文來看我沒有要堅持逐案然後相關的辦法本來在研究上它就會有各式各樣的
transcript.whisperx[208].start 7463.691
transcript.whisperx[208].end 7486.485
transcript.whisperx[208].text 典範可以去討論可以去做研究甚至如把不同跨學科的人邀請進來都是重要的但我還是認為如果不入法那我想要請問一下附帶決議我們當然知道它相關的效應是有的可是它也可能相對是薄弱的我想大家都非常清楚所以要求入法這件事情我只是覺得學輔法今年修完再一次修又不知之何日何月何日何年
transcript.whisperx[209].start 7487.506
transcript.whisperx[209].end 7495.393
transcript.whisperx[209].text 所以如果我們更改一個寫法有沒有機會還是入法不要用附帶決議就是甚至參考范雲委員的版本我也覺得很OK我沒有一定要逐萬回顧研究這樣
transcript.whisperx[210].start 7498.23
transcript.whisperx[210].end 7498.791
transcript.whisperx[210].text 法定人數不足
transcript.whisperx[211].start 7521.711
transcript.whisperx[211].end 7521.851
transcript.whisperx[211].text 第十條
transcript.whisperx[212].start 7536.448
transcript.whisperx[212].end 7560.666
transcript.whisperx[212].text 好了就還是在這個班級的這個層面當中啦大家都已經講說20班嘛對不對然後呢12班高級中學是沒有問題12班嘛然後呢國民中學還有大家在國民小學的這個部分裡面目前為止在第十條裡面有羅廷偉委員陳培鈺委員柯珍委員范雲委員特別提出來有沒有意見要表達的好林宜瑾委員
transcript.whisperx[213].start 7564.785
transcript.whisperx[213].end 7588.697
transcript.whisperx[213].text 羅廷瑋委員第十條因為這次我們的條文在高中輔導老師的緣額沒有動上次范雲委員有提到一個關鍵就是兼任輔導主任應補足其他輔導人力的應聘緣額本席也認為說其實如果這所學校比較小
transcript.whisperx[214].start 7589.397
transcript.whisperx[214].end 7614.692
transcript.whisperx[214].text 那只有一個輔導老師專輔老師的話那一個專輔老師同時又擔任主任那恐怕會造成老師真的很忙那學生就會沒有被充分照顧到所以也會讓老師不願意去小校擔任專輔老師所以上次范雲我有建議說要看教育部怎麼樣調整或者是定到執法上那這部分等等請教育部說明好 以上 謝謝
transcript.whisperx[215].start 7619.378
transcript.whisperx[215].end 7619.619
transcript.whisperx[215].text 國庭委委員
transcript.whisperx[216].start 7626.754
transcript.whisperx[216].end 7648.129
transcript.whisperx[216].text 剛剛移情委員有說明的蠻清楚的那就是說因為我們上次第九條已經通過說輔導主管已由輔導專業優先嘛那所以原則上那邊應該是要優先喔那可是這個時候呢其實那個輔導人力他就會受到影響那我收到蠻多的第一線的輔導老師跟輔導主任的反應就真的需要這個條文
transcript.whisperx[217].start 7649.43
transcript.whisperx[217].end 7650.051
transcript.whisperx[217].text 委員黃秀芳等19人擬具
transcript.whisperx[218].start 7667.633
transcript.whisperx[218].end 7695.498
transcript.whisperx[218].text 負責的班數人數等於就跟你表象上的這個東西就會受到蠻大的影響那這是第一個就是原本他的輔導的量能就會受影響那第二個其實這兩個工作其實也有一定的角色衝突啊比如你行政工作需要跨單位的協調那容易出現輔導個別協助關係的保密盈利那學生也會比較保留那另外就是家長也會質疑說輔導主任為什麼不能夠用主任身份幫他的小孩爭取權益
transcript.whisperx[219].start 7696.118
transcript.whisperx[219].end 7696.618
transcript.whisperx[219].text 委員黃秀芳等19人擬具
transcript.whisperx[220].start 7722.643
transcript.whisperx[220].end 7723.104
transcript.whisperx[220].text 委員陳佩玉等19人擬具
transcript.whisperx[221].start 7739.319
transcript.whisperx[221].end 7758.775
transcript.whisperx[221].text 我覺得現在其實很多的一線的我們這個輔導的老師其實他們最擔心的就是8月1號之後其實是新學期的開始那如果以現行的這個班級數如果真的有下降的話其實他們最擔心的就是自己的工作會不會變動這個部分其實我要幫很多一線的這個輔導人員來稍微問一下這個部分 以上
transcript.whisperx[222].start 7759.482
transcript.whisperx[222].end 7759.622
transcript.whisperx[222].text 郭文貴議員
transcript.whisperx[223].start 7774.637
transcript.whisperx[223].end 7795.8
transcript.whisperx[223].text 平常高中跟國中是沒有問題可是完全中學他們是一體適用的對不對但是你現在目前為止你的主任通常都要專輔人員嘛對不對但是很多國中的時候你如果說他是完全中學的話那國中的主任可能也要受這樣的一個限制但是目前以現實環境來說很多國中的老師他是輔導
transcript.whisperx[224].start 7796.761
transcript.whisperx[224].end 7797.641
transcript.whisperx[224].text 委員黃秀芳等1委員黃秀芳等1
transcript.whisperx[225].start 7818.11
transcript.whisperx[225].end 7838.527
transcript.whisperx[225].text 佛島主任是一定要是專輔的這樣子的一個背景但是國中的時候並沒有這樣子那你如果說是完全中學的話那你完全中學裡面的國中部也要比照高中部啊那這對他們來說其實會造成一些的困擾如果你不是完全中學沒有這個困擾完全中學就有這個困擾那這是從高級中等教育法裡面要來做一個修法順帶提出來謝謝還有沒有額外的問題沒有我們就請那個陳佩玉委員好不好
transcript.whisperx[226].start 7846.803
transcript.whisperx[226].end 7870.697
transcript.whisperx[226].text 好 謝謝主席我想要問一下就是關於從24班就是變20班這件事情我們當然很肯定行政院這邊的調整但是我想要問一下目前我們之前那天的算法是說2088人嘛缺口對不對好 那如果把范雲委員剛剛建議放進來就是他們被抓去當行政的時候我們就要再把人力補上會變成2400人的缺口嗎
transcript.whisperx[227].start 7872.148
transcript.whisperx[227].end 7882.535
transcript.whisperx[227].text 如果是的話利益良好但是還是要拜託教育部再積極推動那個人力補上來這件事情目前的工作規劃進度又會是什麼這樣好 謝謝
transcript.whisperx[228].start 7889.42
transcript.whisperx[228].end 7906.508
transcript.whisperx[228].text 相對而言也有陳培宇委員的附帶決議是不是可以統一一起來去做這樣處理其實就是他剛所提到的嘛是不是可以請這個教育部根據這個附帶決議還是范雲委員他所提到的在這個所關切的問題是不是可以一併來做一個回應好不好
transcript.whisperx[229].start 7921.661
transcript.whisperx[229].end 7921.841
transcript.whisperx[229].text 郭中曉議員
transcript.whisperx[230].start 7928.106
transcript.whisperx[230].end 7955.171
transcript.whisperx[230].text 那還沒有講高中那高中的情況更嚴重因為這次我們修法高中的員額並沒有提升而且高中的輔導主管一定是主任輔導教師那他事實上也會吃12班一人的員額那根本沒有一班教師會有輔導專長來兼任的空間那所以那他如果去當主任的話那事實上這個工作量很龐大譬如說我們現在教育部有友善校園、自殺、自傷防治等等
transcript.whisperx[231].start 7955.751
transcript.whisperx[231].end 7976.758
transcript.whisperx[231].text 而且不管學生規模每個學校的行政量都是差不多那實務上也不可能出現說讓所有專輔教師來分擔行政工作的情況所以這邊其實就會有衝突在人力的部分那真的很希望教育部還是可以考量這些狀況這一次就能夠一併改善
transcript.whisperx[232].start 7982.057
transcript.whisperx[232].end 8005.683
transcript.whisperx[232].text 我分成三點說明第一個我們的國小輔導老師通常都有兩個專長一個專長是一般教師可以當級任可以當科任因為國小是包辦制的嘛他是一般教師的身份第二個因為他有修了輔導第二專長的學分有加助輔導專長所以他也可以擔任專任輔導老師
transcript.whisperx[233].start 8008.204
transcript.whisperx[233].end 8033.171
transcript.whisperx[233].text 國小的部分雙重資格國中也一樣國中的輔導老師他也是這樣他既是國中輔導活動課的老師他也可以擔任國中的專任輔導老師他也是雙重身份那我想高中有類似的問題這都是雙重因為他都被要求具有該階段的老師資格同時又有輔導專長雙重
transcript.whisperx[234].start 8035.011
transcript.whisperx[234].end 8047.037
transcript.whisperx[234].text 如果他要兼任行政的話其實校內如果有職缺可以調整只要把他的職缺調整為一般課一般的老師或者調整為輔導活動課的老師他來擔任輔導主任的時候
transcript.whisperx[235].start 8053.407
transcript.whisperx[235].end 8069.858
transcript.whisperx[235].text 因為國教署定有那個擔任主任的授課時數對,他會減然後他的課自然會有其他老師幫忙分攤超終點處理掉了那換句話說他當他調整為一般老師的時候他專任輔導老師就缺就補出來啦
transcript.whisperx[236].start 8070.498
transcript.whisperx[236].end 8071.299
transcript.whisperx[236].text 委員黃秀芳等1委員黃秀芳等1
transcript.whisperx[237].start 8086.65
transcript.whisperx[237].end 8086.83
transcript.whisperx[237].text 委員黃秀芳等1
transcript.whisperx[238].start 8104.324
transcript.whisperx[238].end 8131.342
transcript.whisperx[238].text 第二點就是高級中等學校比較特別是因為在高級中等教育法裡頭規定他的輔導主任必須要由高中的專任輔導老師來擔任那他被限制住了你知道嗎你只能是專任輔導師來兼任不像我們剛才國中國小是可以轉成一班老師再來對是是是
transcript.whisperx[239].start 8133.596
transcript.whisperx[239].end 8159.349
transcript.whisperx[239].text 因為完全中學是以上位階的學校來當配置的它是以高級終點教育法來任用所以有同樣的問題那我想這一塊等一下看國教署是不是有一些想法可以來處理因為一般老師擔任他就是你超售課終點費嘛給錢他就超中其他班那這一塊就是他可能需要增加的是輔導資源那這個和國教署可不可以補充對
transcript.whisperx[240].start 8162.628
transcript.whisperx[240].end 8163.009
transcript.whisperx[240].text 法定人數不足
transcript.whisperx[241].start 8170.431
transcript.whisperx[241].end 8197.197
transcript.whisperx[241].text 謝謝趙薇跟各位委員的提問剛才吳司長其實大體上都講得非常的清楚那現在就是可能有一些面臨的困境怎麼幫忙一起來處理首先先講兼主任就是幾位委員再來是趙薇講到完中兼主任這個剛才剛好范雲委員提到了一個詞那個詞很特別您剛才講到主任
transcript.whisperx[242].start 8198.584
transcript.whisperx[242].end 8199.245
transcript.whisperx[242].text 主任專輔教師
transcript.whisperx[243].start 8215.836
transcript.whisperx[243].end 8241.046
transcript.whisperx[243].text 就跟教官一樣有主教他基本上去完成該校這一類的工作所以當時立法委員們的設計就有這樣只是說主任專輔教授好像出現了這個那跟主任跟輔導主任會不會又怎麼樣所以把它變成叫輔導主任因此只有他能夠去當輔導主任
transcript.whisperx[244].start 8243.793
transcript.whisperx[244].end 8265.984
transcript.whisperx[244].text 所以在這個脈絡下當時的立法者很感謝剛好范雲委員提出這一段但是時事所趨103年、102年的背景到現在10年後有沒有更要小心現在老師的處境學生的需求這個是不是給我們一點時間雖然
transcript.whisperx[245].start 8267.785
transcript.whisperx[245].end 8269.706
transcript.whisperx[245].text 至於國中小的部分那個兼任基本上
transcript.whisperx[246].start 8291.038
transcript.whisperx[246].end 8316.216
transcript.whisperx[246].text 有三個縣市左右他是沒有辦法去換鬼來考主任以國民教育法的國中小主任他一定經過甄選處訓所以他一開始就不讓他來考所以他要去兼也不行所以有三個縣市不會發生委員講的問題因為他跑不過來主任鬼
transcript.whisperx[247].start 8317.304
transcript.whisperx[247].end 8335.209
transcript.whisperx[247].text 大概有三個以上的縣市 這要查有很多現在的確會有委員講的這個情況但是實務上他們還是會先找一般這邊因為輔導老師的資源已經很少也跟各位委員報告我查了一下 有一千位老師他因為具有雙證嘛他就到了這個一般老師這邊
transcript.whisperx[248].start 8343.328
transcript.whisperx[248].end 8361.04
transcript.whisperx[248].text 其實培育委員也有提到這夠不夠有一千多位出頭一點他是跑到一班這邊屆時整體的運作他如果基於學校的安排有一些現在有些縣市在做這個甄選的時候
transcript.whisperx[249].start 8362.341
transcript.whisperx[249].end 8362.662
transcript.whisperx[249].text 主席主席
transcript.whisperx[250].start 8377.662
transcript.whisperx[250].end 8379.083
transcript.whisperx[250].text 委員黃秀芳等1委員黃秀芳等1委員黃秀芳等1委員黃秀芳等1
transcript.whisperx[251].start 8407.216
transcript.whisperx[251].end 8418.063
transcript.whisperx[251].text 這一個專府人員那個 剛才也有當然郭委員所提 絕對不會 絕對不會全部都不會因為修法有任何的 不會因為它這樣而影響 不會因為班級數
transcript.whisperx[252].start 8423.987
transcript.whisperx[252].end 8434.652
transcript.whisperx[252].text 這個我們馬上會盤點一下因為法的方向蠻明確的我們馬上會掌握不要影響它不要在這個空窗當中7月30號就要重新7月30號是個截止時間的時候好不好因為這個修法的方式也蠻明確的我們馬上會做調查跟關心跟處置好
transcript.whisperx[253].start 8442.116
transcript.whisperx[253].end 8461.272
transcript.whisperx[253].text 好,就麻煩給這些老師,現在真的是串在蛋上來,佩玉委員謝謝主席我要echo一下范雲委員剛剛那個事情可是因為署長剛剛回了一個說法,我有點疑問我3號記得這個東西現在已經沒有了主任專輔教師,我記得是沒有了吧
transcript.whisperx[254].start 8463.181
transcript.whisperx[254].end 8477.777
transcript.whisperx[254].text 她是源自於這裡啦主任專門教授現在已經沒有這個名詞了啦現在已經沒有這個名詞了那是久一些啦所以還是回歸到你們還是要回去盤點嗎好我想說怎麼會有這個回答好OK謝謝她是從盤古開天說起啦好不好
transcript.whisperx[255].start 8479.358
transcript.whisperx[255].end 8501.089
transcript.whisperx[255].text 第十條我們就是保留好不好再一次的保留因為既然新字都保留這一件就沒什麼好特別就保留那麻煩我們剛剛委員所提到意見麻煩帶回去我們下一次再來討論的時候就一定要更確實好了我們現在進入那也是一樣附帶決議那個陳培偉的附帶決議也是一貫保留了好不好可以來我們第十一條十一條討論完後面就那個了十一條
transcript.whisperx[256].start 8504.551
transcript.whisperx[256].end 8515.502
transcript.whisperx[256].text 是一條最大的部分裡面就是我們用效的方法可是現在目前有很多助效的老師就引發非常大的焦慮他們還是很希望能夠把55班降為40班我們算出來55班能夠降為40班這樣的概念
transcript.whisperx[257].start 8521.869
transcript.whisperx[257].end 8523.169
transcript.whisperx[257].text 委員黃秀芳等1委員黃秀芳等1委員黃秀芳等1委員黃秀芳等1
transcript.whisperx[258].start 8549.156
transcript.whisperx[258].end 8566.831
transcript.whisperx[258].text 教育部用了20校的這種說法那你用4500到5000這是用基點嘛 這點數嘛那這個點數跟這個助校來說的話大家還是 因為你如果用基點的話你可以讓大家不要能夠統籌來做一個分配嘛可是對很多大校對助校老師他很希望
transcript.whisperx[259].start 8567.532
transcript.whisperx[259].end 8595.728
transcript.whisperx[259].text 不要被分配出去好不好這是個點這是你寫法的問題所以你要採取一個用20校的這種說法然後你用點數的這個說法那你如何保障有一些學校比較大的這些人他們這些駐校老師能夠因此就可以留下來我覺得這個是教育部必須要解決的好不好就是第十一條還有沒有我先說完完畢還有沒有還沒有要補充的好還要補充是吧我以為我已經補充很詳盡了來
transcript.whisperx[260].start 8597.909
transcript.whisperx[260].end 8625.817
transcript.whisperx[260].text 來來來 林宜瑾委員 郭老師 范雲委員好 謝謝主席再次這個就是加強這個交委的這個這個這個版本 就是說其實每四十班以上應設置這個一名我覺得這個是參照像我的版本是參照學生衛生法因為我學生衛生法規定就是每四十班以上應設置這個營養師一人那學校護理人員也每校治醫人
transcript.whisperx[261].start 8626.457
transcript.whisperx[261].end 8645.356
transcript.whisperx[261].text 所以我覺得還是請教育部要慎重考慮一下讓這個高級中等以下的學校班級數在40班以上的要設專業輔導人員一人那還有就是說高中以下學校主管機關若所匣的校數是15校以下的必須要設置一名的專業輔導人員我覺得這個是我們還蠻堅持的以上
transcript.whisperx[262].start 8651.243
transcript.whisperx[262].end 8666.486
transcript.whisperx[262].text 那我的意見也是跟兩位一樣第一個就是還是希望輔助中級專輔人比例可以下修到每15校1人那第二個就是大校剛剛昭偉也有講到大校助校的專輔人員我們專業團體真的認為非常的需要那所以這一點雖然上次JB有講你們的考慮希望統籌運用那可是真實狀況那真的還是
transcript.whisperx[263].start 8679.109
transcript.whisperx[263].end 8706.723
transcript.whisperx[263].text 非常多專業團體的反應覺得應該要保留大校的駐校專輔人員我還有一個附帶決議是幫專科以上的學校講話希望說他們的薪資也是有提升的必要所以到時候如果我們薪資提升的時候希望也能夠處理專科以上學校專輔人員的薪資不過這個部分可能我們十一條要保留那就可以一起保留
transcript.whisperx[264].start 8706.943
transcript.whisperx[264].end 8707.103
transcript.whisperx[264].text 陳培余委員
transcript.whisperx[265].start 8722.102
transcript.whisperx[265].end 8740.749
transcript.whisperx[265].text 好可以認同前面幾位委員的發言齁我也希望呢這個部分教育部可以正面的回應來跟我們探討這個問題也希望今天這一條是不是能夠露出一些曙光齁不要是保留我們可以正面的就看到兩位的附帶決議齁我也個人覺得非常認同也希望朝這個方向來努力以上
transcript.whisperx[266].start 8743.275
transcript.whisperx[266].end 8765.2
transcript.whisperx[266].text 謝謝羅廷文委員 文春生委員今天立法院很忙 其實包括很多委員會都在協商我也覺得我們教文非常努力 從早上協商到現在一片和諧 一片看著各個政黨 其實意見都很一致教育部好像問題都出在教育部
transcript.whisperx[267].start 8766.8
transcript.whisperx[267].end 8767.12
transcript.whisperx[267].text 臺灣民眾黨支持
transcript.whisperx[268].start 8781.476
transcript.whisperx[268].end 8781.696
transcript.whisperx[268].text 《大少》55班
transcript.whisperx[269].start 8798.146
transcript.whisperx[269].end 8815.554
transcript.whisperx[269].text 如果自己算沒有算錯55班是不是372那如果改成40班就變738那如果再往下那個人數又會是多少我覺得可不可以請教一部說明一下讓大家更心裡有數那而且如果大小條款通過然後改成40那總應聘人數的那個翻倍狀況又會是什麼樣子
transcript.whisperx[270].start 8817.635
transcript.whisperx[270].end 8844.942
transcript.whisperx[270].text 那另外剛剛那個移警委員有問我說科委員有一個科招委有一個第十一條附帶決議關於住校模式的事情我想要確認一下好免得我們搞錯這個所謂住校的那個專輔大校的住校他們的人力的算法是放在輔資中心只是被調派去學校嗎還是還是那個是學校額外自己聘請的因為如果他是從輔資中心調過去的
transcript.whisperx[271].start 8846.002
transcript.whisperx[271].end 8864.389
transcript.whisperx[271].text 那他不就又吃掉了輔資中心我們原本要回來的人嗎多要來的人嗎我不確定就是請你們算那個數字給我聽免得我們這個寫法造成了我們對於現場的不理解他到底是誰算誰的人算誰的緣額這樣因為我們好不容易
transcript.whisperx[272].start 8865.299
transcript.whisperx[272].end 8865.379
transcript.whisperx[272].text 主席
transcript.whisperx[273].start 8878.171
transcript.whisperx[273].end 8878.291
transcript.whisperx[273].text 佳麗娟議員
transcript.whisperx[274].start 8898.5
transcript.whisperx[274].end 8898.8
transcript.whisperx[274].text 委員黃秀芳等19人擬具
transcript.whisperx[275].start 8917.827
transcript.whisperx[275].end 8920.668
transcript.whisperx[275].text 委員張雅琳等19人擬具 «學生輔導法部分條文修正草案》、委員張雅琳等19人擬具 «學生輔導法部分條文修正草案》、委員張雅琳等19人擬具
transcript.whisperx[276].start 8945.339
transcript.whisperx[276].end 8958.415
transcript.whisperx[276].text 好 我想要針對就是前面有特別講到就是說那個高級中等以下的那個學校輔導的案量跟地理地區的一些特殊的一個情況然後就是在這個專業輔導人員的總數是6%的一個範圍之內包含這些
transcript.whisperx[277].start 8962.72
transcript.whisperx[277].end 8987.357
transcript.whisperx[277].text 那我想這個有沒有明確的一個規範因為包含我們知道在這個偏遠地區的一個學校院上次其實我也有講過就是我們總計這個學校的學校數是1205所那這個6%是不是有一個明確的規範還有他們的一個輔導安量還有那個地區的區域地理的區域的部分是不是能夠再更明確的定義一下會可能會比較清楚 以上
transcript.whisperx[278].start 8991.55
transcript.whisperx[278].end 9005.826
transcript.whisperx[278].text 好 其實我也是想要特別幫助校的輔導人員來去爭取一下因為他們其實其實有非常多的過去都有非常多的文獻去講助校模式的價值所以還是希望說在我們這次的修法版本還是可以去保留助校的這個模式 謝謝
transcript.whisperx[279].start 9008.854
transcript.whisperx[279].end 9017.801
transcript.whisperx[279].text 好 那我們是不是請教育部一併來做說明我知道你們利益良善啦然後大家也覺得你們已經有所了但是我還是認為那個 我說實話還是要回應到上次的20校改為15校也不過多了58人可不可以考慮一下 好不好好啦 來請司長
transcript.whisperx[280].start 9024.827
transcript.whisperx[280].end 9048.281
transcript.whisperx[280].text 好 首先說明現行的學生輔導法第十一條就有規定縣市主管機關的輔資中心是可以統籌調派主校的人員現行法就是這樣那實務上運作上六個直轄室裡頭有四個直轄室那個55禮拜他是派在
transcript.whisperx[281].start 9049.241
transcript.whisperx[281].end 9073.199
transcript.whisperx[281].text 學校完全沒有統籌調度有統籌調度的只有臺中跟臺南兩個治轄市至於一般縣市政府統籌調度的情況非常普遍只有兩個縣市完全沒有統籌調度一個是宜蘭另外一個我記得是新竹沒有統籌調度其他的縣市都是統籌調度
transcript.whisperx[282].start 9075.134
transcript.whisperx[282].end 9090.786
transcript.whisperx[282].text 福祉中心統統調度這件事情是目前相關還是普遍存在的那問題是在哪裡就是學校會覺得你那個人是跟你共用的你福祉中心是可以調走對於學校運用這個輔導人員就沒那麼好用
transcript.whisperx[283].start 9091.246
transcript.whisperx[283].end 9112.709
transcript.whisperx[283].text 所以學校希望說你就把它切清楚吧學校希望切清楚專業輔導人也會覺得很辛苦因為我不只服務這個學校輔資中心隨時調度我我還要去支援別的學校從專輔人員的角度從學校的角度他都希望你專心在我這兒但抱歉就人力資源的運用跟整合來講確實由縣市政府的輔助統統是比較
transcript.whisperx[284].start 9113.49
transcript.whisperx[284].end 9114.271
transcript.whisperx[284].text 委員黃秀芳
transcript.whisperx[285].start 9123.939
transcript.whisperx[285].end 9151.939
transcript.whisperx[285].text 多數都用心理師 社工師也有少數 但並不多再來就是剛剛柯趙偉所說的因為第十一條其實院版是已經經過很嚴謹的審核通過了要再去改變它是很困難的那我想布里頭在態度上也會希望能夠支持院版能採院版的方式那剛才那個裴育文有問數字的問題我先說明55班以上的學校目前有372校
transcript.whisperx[286].start 9154.804
transcript.whisperx[286].end 9160.906
transcript.whisperx[286].text 若調降為40班以上,校數會倍增,變成738校,總共增加366所學校,比原本的55班以上需要幾乎兩倍若原本按照每20班設一個專輔人員
transcript.whisperx[287].start 9182.771
transcript.whisperx[287].end 9205.797
transcript.whisperx[287].text 一目前的設置大概是200人左右那如果調成每15校設一人它的會增加大概63位左右所增加的人數相對比較少一點點那總而言之我們還是建議第十一條能夠採取院版那可不可以接受我的附帶決議讓駐校老師能夠稍微安心因為剛剛講的其實我剛剛講為什麼
transcript.whisperx[288].start 9208.459
transcript.whisperx[288].end 9234.832
transcript.whisperx[288].text 大型的縣市或人力充足的縣市基本上是希望輔導人員是派駐在大型學校因為大型學校本身需求就比較高而且大型學校通常都在某些區域的地理中心為人口比較密集以它為中心點去調度支援鄰近學校其實是更就近的可以緊急狀況及時支援我想柯昭偉的附帶決議我們是支持的對
transcript.whisperx[289].start 9235.672
transcript.whisperx[289].end 9235.832
transcript.whisperx[289].text 委員黃秀芳等19人擬具
transcript.whisperx[290].start 9253.018
transcript.whisperx[290].end 9273.529
transcript.whisperx[290].text 提會的討論的版本是不是就是讓他通過第十一條還有意見好來賴委員當然就是說如果最後真的爭取不到的話那我們怎麼來寫附帶決策討論啊可是我還是希望最後一步考慮一下就是說那個40分以上就能夠助校友專輔人員這部分
transcript.whisperx[291].start 9273.809
transcript.whisperx[291].end 9296.256
transcript.whisperx[291].text 就像剛剛司長講的嘛本來就有協調我們這一次修的它本來就有就是說跟輔助中心的一個協調的一個關係嘛那40班的學校就已經很多人了那為什麼不能夠有一個助校的那個專任專業的輔導人員那這部分我還是希望能夠爭取啦
transcript.whisperx[292].start 9296.536
transcript.whisperx[292].end 9317.626
transcript.whisperx[292].text 那當然就是說你們的版本就是那個20校1人然後我的版本是15校1人的那這部分剛剛有算出來說其實就是增加63個人嘛那當然就是說你說行政院那個我們能不能再爭取剛剛教育部長不是前面就有針對我們的期待他有說他努力再去爭取嗎
transcript.whisperx[293].start 9318.186
transcript.whisperx[293].end 9318.326
transcript.whisperx[293].text 主席主席
transcript.whisperx[294].start 9338.74
transcript.whisperx[294].end 9357.228
transcript.whisperx[294].text 所以我們要...好來郭昱晴委員沒有回答我的問題我剛剛說的那個就是根據那個地區還有輔導案量那個6%是不是可以更具體的一個明確的規範那這一塊是不是可以請國教署來協助做補充說明
transcript.whisperx[295].start 9362.962
transcript.whisperx[295].end 9364.123
transcript.whisperx[295].text 法定人數不足
transcript.whisperx[296].start 9381.271
transcript.whisperx[296].end 9384.272
transcript.whisperx[296].text 委員黃秀芳等1委員黃秀芳等1委員黃秀芳等1委員黃秀芳等1
transcript.whisperx[297].start 9409.144
transcript.whisperx[297].end 9409.885
transcript.whisperx[297].text 委員黃秀芳等1
transcript.whisperx[298].start 9422.15
transcript.whisperx[298].end 9449.155
transcript.whisperx[298].text 法過了以後會增加192人左右覺得含納得住現行的人嘛就不會動啊可是你如果一直講註效的話那個班級數我們就很不好去幫他了反而用十一條現在的文字原版模式我可以幫忙是為什麼我還沒談十一條要改成現在看到這個我會怕如果用我原來講的我就全部192一定可以吸納所有的人大概這樣
transcript.whisperx[299].start 9450.656
transcript.whisperx[299].end 9457.263
transcript.whisperx[299].text 不過目前為止比較好這樣好嗎就可以解決剛剛的問題以及用移來解決兩個模式會對打的問題大概這樣
transcript.whisperx[300].start 9461.789
transcript.whisperx[300].end 9462.329
transcript.whisperx[300].text 法定人數不足
transcript.whisperx[301].start 9480.376
transcript.whisperx[301].end 9508.645
transcript.whisperx[301].text 他到8月1號怎麼辦的問題我會請那個署長這邊就是發文跟他們講就是說這個目前修法會增加人力所以這部分暫時不會去動盪好不好好 那范委員的意見是怎麼樣還要條文還要繼續保留嗎我剛剛是基於院版裡面提出我的這個所謂附帶決議那你如果連院版裡面都有意見那就看教育部的看法
transcript.whisperx[302].start 9510.199
transcript.whisperx[302].end 9510.499
transcript.whisperx[302].text 主席主席
transcript.whisperx[303].start 9536.676
transcript.whisperx[303].end 9559.351
transcript.whisperx[303].text 剛才所提的20改成15並且同時是40班這件事那這樣不是58人對就不是了啦不是不是這樣就425人對不是各位委員各位委員現在是這樣子你55變40跟目前教育部的版本你兩個
transcript.whisperx[304].start 9561.365
transcript.whisperx[304].end 9575.779
transcript.whisperx[304].text 必須要選擇一個啦好不好但是剛才為什麼會有58出來是因為各位委員請看一下我以為齁因為原來召委所提的58那個數字齁是用11條但是微調那個
transcript.whisperx[305].start 9580.404
transcript.whisperx[305].end 9582.744
transcript.whisperx[305].text 委員黃秀芳等19人擬具
transcript.whisperx[306].start 9605.569
transcript.whisperx[306].end 9608.454
transcript.whisperx[306].text 主席我問最後一個問題就好了既然要保留了但是請幫我釐清在第幾項
transcript.whisperx[307].start 9620.993
transcript.whisperx[307].end 9644.333
transcript.whisperx[307].text 好 就是第十一條的教育部提會版本你們有一個寫法說依照前兩項的規定所制的專業輔導人員應由高級中等以下學校主管機關統籌調派這個我沒有問題並得委由所設學生輔導諮商中心所在學校或責定之學校聘用之目前實務狀況比較是什麼樣子或者是說它是給地方主管機關自己做選擇嗎還是怎麼樣
transcript.whisperx[308].start 9653.274
transcript.whisperx[308].end 9680.118
transcript.whisperx[308].text 我補充啦實務上因為很少縣市輔治中心是設在縣政府裡面很少因為空間真的有困難大部分都借用學校的場地那也因為借用場地學校場地的關係所以他的人員的聘任、差勤管理、預算執行也都會委託那個所在學校來執行了對對 他就是另外的
transcript.whisperx[309].start 9680.871
transcript.whisperx[309].end 9708.554
transcript.whisperx[309].text 好 既然是保留了好 我現在對於保留我都覺得有點好 那怎麼樣第十一條我們就保留連附帶決議也一併保留好不好但我要跟各位委員報告十二條跟十一條是連動的那你十一條都已經是保留了那十二條要討論啥好吧 也就十二條就保留了好了沒有沒有沒有沒有 只剩下十七而已十七 十七跟十七之一好不好 就是陳佩玉委員的
transcript.whisperx[310].start 9710.367
transcript.whisperx[310].end 9712.788
transcript.whisperx[310].text 委員張雅琳等17人擬具17人擬具17人擬具17人擬具17人擬具17人擬具
transcript.whisperx[311].start 9733.359
transcript.whisperx[311].end 9757.67
transcript.whisperx[311].text 17我直接說教育部一定有困難對討論過了 17要保留那我們今天是幹嘛我先看一下回復到今天的成果一下朝委至少推進一點我可以再回到剛剛那個立法說明嗎因為剛剛並沒有逐字確認我想要確認關於職能治療師的那一段
transcript.whisperx[312].start 9758.697
transcript.whisperx[312].end 9758.757
transcript.whisperx[312].text 第五條 欸第幾條
transcript.whisperx[313].start 9776.597
transcript.whisperx[313].end 9801.158
transcript.whisperx[313].text 看到沒有 各位看清楚兩位而且還把指導智能師我把它放到第一條了你看另第二款名定為前款以外之相關學者專家包含職能治療本來要從第五個序位現在變成第一序位兩位滿意了吧看清楚了 謝謝來來來 各位各位 謝謝兩位
transcript.whisperx[314].start 9803.942
transcript.whisperx[314].end 9814.052
transcript.whisperx[314].text 我們那個還有個通案的附帶決議啊各位我們就看一下通案的附帶決議范雲委員、郭玉琴委員跟張雅琳委員來 最後一步看了嗎通案的附帶決議有嗎不是不是 額外額外我們這十一條就都是保留我們現在有個通案的附帶決議那麼請最後一步看一下
transcript.whisperx[315].start 9829.246
transcript.whisperx[315].end 9855.013
transcript.whisperx[315].text 有鑒於本法增定為成年學生同意下並經個案會議評估有需求時得本與兒少最佳利益不經家長同意進行輔導諮商之規定請教育部於本法通過後半年內與施行細則或相關執法或行政執引中明定不受心理施法限制之例外情形違和並加強與家長之宣傳溝通以減少公眾對心智之疑慮OK嗎OK 好 謝謝
transcript.whisperx[316].start 9859.738
transcript.whisperx[316].end 9881.363
transcript.whisperx[316].text 好來我們協商的結論在各位協商結論協商結論我們不能只確定職能治療這四個字就變成我們協商決議沒這回事等一下好我想說是不是建議一下這個已出審通過的條文還有立法說明會有是不是由教育部重整文資之後提供我們教育委員會是好不好可以教育部可以嗎好謝謝那我們等一下的最後的部分
transcript.whisperx[317].start 9885.801
transcript.whisperx[317].end 9909.76
transcript.whisperx[317].text 好 那我們各位我們聽一下我們今天協商結論第四條第五條修正通過然後呢增訂第七條之一第十條十一條第十二條第十七條及增訂第十七條之一含各條對應修正的動議文保留我們就送院會處理好 那院會協商院會協商
transcript.whisperx[318].start 9911.943
transcript.whisperx[318].end 9932.776
transcript.whisperx[318].text 好 那我們通過附帶決議共一項然後原審查會保留及新增附帶決議共15案均保留送院會協商其餘均照審查會審查結果通過那檢附立法說明一份那我們目前就是我們的今天所得到的結場結論大家有沒有意見好 非常感謝各位 謝謝來 我們簽名一下好不好
transcript.whisperx[319].start 9939.889
transcript.whisperx[319].end 9940.51
transcript.whisperx[319].text 法定人數不足
transcript.whisperx[320].start 9948.546
transcript.whisperx[320].end 9972.942
transcript.whisperx[320].text 來 周偉辛苦了你們沒完沒了 我們到底是誰 沒錯加油加油 已經越來越好了 越來越好簽名簽名 簽名很大的進度了很大的進度了起碼讓人家7月30號的那個人家可以得到確診書辛苦了我從早上跑到這邊你跑到這邊我們也是好不好我們也是我還要回去弄
transcript.whisperx[321].start 9977.543
transcript.whisperx[321].end 9978.063
transcript.whisperx[321].text 編曲 李宗盛
transcript.whisperx[322].start 10025.174
transcript.whisperx[322].end 10027.116
transcript.whisperx[322].text 委員張雅琳等19人擬具