iVOD / 169968

Field Value
IVOD_ID 169968
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/169968
日期 2026-06-11
會議資料.會議代碼 委員會-11-5-22-15
會議資料.會議代碼:str 第11屆第5會期教育及文化委員會第15次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 15
會議資料.種類 委員會
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 第11屆第5會期教育及文化委員會第15次全體委員會議
影片種類 Clip
開始時間 2026-06-11T11:59:01+08:00
結束時間 2026-06-11T12:19:42+08:00
影片長度 00:20:41
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5a3f69ccecb4f85e568b03b45291316dfb40f357bf30cd036236c77fa8ed8f59dbf88ab0c805ad9f5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 葉元之
委員發言時間 11:59:01 - 12:19:42
會議時間 2026-06-11T09:00:00+08:00
會議名稱 立法院第11屆第5會期教育及文化委員會第15次全體委員會議(事由:一、審查 (一) 委員柯志恩等18人擬具「高級中等教育法第二十條條文修正草案」案。 (二) 委員柯志恩等19人擬具「高級中等教育法第二十條條文修正草案」案。 (三) 委員吳沛憶等18人擬具「高級中等教育法第二十條條文修正草案」案。 (四) 委員羅廷瑋等17人擬具「高級中等教育法第二十條條文修正草案」案。 二、審查 (一) 委員王鴻薇等24人擬具「高級中等教育法第五十八條條文修正草案」案。 (二) 委員許宇甄等19人擬具「高級中等教育法第五十八條條文修正草案」案。 (三) 國民黨黨團擬具「高級中等教育法第五十八條條文修正草案」案。 (四) 委員翁曉玲等17人擬具「高級中等教育法第五十八條條文修正草案」案。 (五) 委員羅明才等18人擬具「高級中等教育法第五十八條條文修正草案」案。 (六) 委員葛如鈞等17人擬具「高級中等教育法第五十八條條文修正草案」案。 (七) 委員羅廷瑋等17人擬具「高級中等教育法第五十八條條文修正草案」案。 (八) 委員羅智強等17人擬具「高級中等教育法第五十八條條文修正草案」案。 (九) 委員賴士葆等19人擬具「高級中等教育法第五十八條條文修正草案」案。 (十) 委員林倩綺等23人擬具「高級中等教育法第五十八條條文修正草案」案。 (十一) 委員葉元之等19人擬具「高級中等教育法第五十八條條文修正草案」案。 (十二) 委員郭昱晴等16人擬具「高級中等教育法第五十八條條文修正草案」案。 (十三) 委員伍麗華Saidhai‧Tahovecahe等21人擬具「高級中等教育法第五十八條條文修正草案」案。 (十四) 委員吳沛憶等21人擬具「高級中等教育法第五十八條條文修正草案」案。 (十五) 委員張雅琳等18人擬具「高級中等教育法第五十八條條文修正草案」案。 (十六) 委員陳培瑜等16人擬具「高級中等教育法第五十八條條文修正草案」案。 (十七) 委員吳思瑤等16人擬具「高級中等教育法第五十八條條文修正草案」案。 三、繼續審查 (一) 委員柯志恩等16人擬具「大學法第三十五條條文修正草案」案。 (二) 委員徐欣瑩等19人擬具「大學法第三十五條條文修正草案」案。 (三) 委員羅廷瑋等16人擬具「大學法第三十五條條文修正草案」案 四、審查 (一) 委員王鴻薇等25人擬具「大學法第三十五條條文修正草案」案。 (二) 台灣民眾黨黨團擬具「大學法第三十五條條文修正草案」案。 (三) 委員葉元之等18人擬具「大學法第三十五條條文修正草案」案。 (四) 委員邱鎮軍等17人擬具「大學法第三十五條條文修正草案」案。 (五) 委員許宇甄等19人擬具「大學法第三十五條條文修正草案」案。 (六) 委員陳菁徽等16人擬具「大學法第三十五條條文修正草案」案。 ……(因系統字數上限,詳參議事日程))
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.87471875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 13.75034375
transcript.pyannote[1].end 15.55596875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 16.68659375
transcript.pyannote[2].end 17.42909375
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 21.32721875
transcript.pyannote[3].end 28.26284375
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 28.26284375
transcript.pyannote[4].end 28.48221875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 28.48221875
transcript.pyannote[5].end 31.41846875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 32.12721875
transcript.pyannote[6].end 57.33846875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 57.92909375
transcript.pyannote[7].end 58.36784375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 58.97534375
transcript.pyannote[8].end 59.46471875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 60.24096875
transcript.pyannote[9].end 62.28284375
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 62.28284375
transcript.pyannote[10].end 62.29971875
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 63.22784375
transcript.pyannote[11].end 69.35346875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 68.59409375
transcript.pyannote[12].end 88.57409375
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 69.82596875
transcript.pyannote[13].end 70.24784375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 89.23221875
transcript.pyannote[14].end 90.41346875
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 90.41346875
transcript.pyannote[15].end 96.23534375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 94.98659375
transcript.pyannote[16].end 98.15909375
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 98.29409375
transcript.pyannote[17].end 98.58096875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 99.64409375
transcript.pyannote[18].end 100.65659375
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 102.34409375
transcript.pyannote[19].end 102.66471875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 103.17096875
transcript.pyannote[20].end 103.18784375
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 103.18784375
transcript.pyannote[21].end 115.54034375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 109.63409375
transcript.pyannote[22].end 111.03471875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 111.76034375
transcript.pyannote[23].end 112.80659375
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 116.01284375
transcript.pyannote[24].end 116.28284375
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 116.87346875
transcript.pyannote[25].end 126.25596875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 124.31534375
transcript.pyannote[26].end 155.53409375
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 147.61971875
transcript.pyannote[27].end 157.10346875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 156.66471875
transcript.pyannote[28].end 168.57846875
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 166.97534375
transcript.pyannote[29].end 168.25784375
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 168.57846875
transcript.pyannote[30].end 168.67971875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 168.67971875
transcript.pyannote[31].end 170.80596875
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 171.48096875
transcript.pyannote[32].end 178.45034375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 178.60221875
transcript.pyannote[33].end 188.59221875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 189.38534375
transcript.pyannote[34].end 190.38096875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 191.46096875
transcript.pyannote[35].end 192.05159375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 192.38909375
transcript.pyannote[36].end 202.24409375
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 195.56159375
transcript.pyannote[37].end 197.09721875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 203.27346875
transcript.pyannote[38].end 206.19284375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 206.80034375
transcript.pyannote[39].end 211.91346875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 213.48284375
transcript.pyannote[40].end 228.60284375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 229.36221875
transcript.pyannote[41].end 231.43784375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 231.62346875
transcript.pyannote[42].end 233.09159375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 233.56409375
transcript.pyannote[43].end 268.54596875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 268.96784375
transcript.pyannote[44].end 278.16471875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 278.75534375
transcript.pyannote[45].end 279.97034375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 280.10534375
transcript.pyannote[46].end 280.91534375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 281.43846875
transcript.pyannote[47].end 282.43409375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 283.59846875
transcript.pyannote[48].end 284.54346875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 285.50534375
transcript.pyannote[49].end 293.89221875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 295.61346875
transcript.pyannote[50].end 296.42346875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 296.65971875
transcript.pyannote[51].end 297.75659375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 298.33034375
transcript.pyannote[52].end 299.37659375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 300.67596875
transcript.pyannote[53].end 302.19471875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 303.05534375
transcript.pyannote[54].end 316.20096875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 316.92659375
transcript.pyannote[55].end 325.90409375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 327.45659375
transcript.pyannote[56].end 331.84409375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 332.26596875
transcript.pyannote[57].end 332.80596875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 333.00846875
transcript.pyannote[58].end 335.15159375
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 335.15159375
transcript.pyannote[59].end 335.74221875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 335.74221875
transcript.pyannote[60].end 335.91096875
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 335.91096875
transcript.pyannote[61].end 345.74909375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 335.96159375
transcript.pyannote[62].end 336.77159375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 340.29846875
transcript.pyannote[63].end 340.78784375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 341.07471875
transcript.pyannote[64].end 351.31784375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 351.63846875
transcript.pyannote[65].end 352.68471875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 354.10221875
transcript.pyannote[66].end 354.54096875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 357.47721875
transcript.pyannote[67].end 357.93284375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 358.92846875
transcript.pyannote[68].end 360.46409375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 360.95346875
transcript.pyannote[69].end 361.86471875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 363.46784375
transcript.pyannote[70].end 363.78846875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 367.04534375
transcript.pyannote[71].end 368.29409375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 368.64846875
transcript.pyannote[72].end 376.10721875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 376.86659375
transcript.pyannote[73].end 378.70596875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 379.81971875
transcript.pyannote[74].end 382.70534375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 384.67971875
transcript.pyannote[75].end 387.41346875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 387.91971875
transcript.pyannote[76].end 389.82659375
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 390.61971875
transcript.pyannote[77].end 393.11721875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 392.94846875
transcript.pyannote[78].end 400.44096875
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 393.23534375
transcript.pyannote[79].end 393.25221875
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 393.30284375
transcript.pyannote[80].end 393.40409375
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 393.52221875
transcript.pyannote[81].end 395.39534375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 400.81221875
transcript.pyannote[82].end 403.81596875
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 402.60096875
transcript.pyannote[83].end 406.31346875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 405.06471875
transcript.pyannote[84].end 409.31721875
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 410.86971875
transcript.pyannote[85].end 421.53471875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 418.75034375
transcript.pyannote[86].end 426.05721875
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 424.06596875
transcript.pyannote[87].end 424.60596875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 426.91784375
transcript.pyannote[88].end 427.05284375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 427.66034375
transcript.pyannote[89].end 433.22909375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 433.73534375
transcript.pyannote[90].end 446.15534375
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 434.25846875
transcript.pyannote[91].end 437.65034375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 446.39159375
transcript.pyannote[92].end 448.80471875
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 450.64409375
transcript.pyannote[93].end 461.57909375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 453.93471875
transcript.pyannote[94].end 454.98096875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 456.49971875
transcript.pyannote[95].end 478.18409375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 478.50471875
transcript.pyannote[96].end 479.19659375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 479.68596875
transcript.pyannote[97].end 481.47471875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 482.57159375
transcript.pyannote[98].end 484.02284375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 484.74846875
transcript.pyannote[99].end 486.45284375
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 486.45284375
transcript.pyannote[100].end 486.68909375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 486.68909375
transcript.pyannote[101].end 487.02659375
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 487.02659375
transcript.pyannote[102].end 487.88721875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 487.88721875
transcript.pyannote[103].end 488.52846875
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 487.93784375
transcript.pyannote[104].end 496.89846875
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 497.77596875
transcript.pyannote[105].end 501.28596875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 497.87721875
transcript.pyannote[106].end 499.96971875
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 502.48409375
transcript.pyannote[107].end 511.54596875
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 512.01846875
transcript.pyannote[108].end 514.02659375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 514.02659375
transcript.pyannote[109].end 517.41846875
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 515.49471875
transcript.pyannote[110].end 516.50721875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 517.55346875
transcript.pyannote[111].end 532.53846875
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 523.81409375
transcript.pyannote[112].end 523.99971875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 523.99971875
transcript.pyannote[113].end 526.12596875
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 533.38221875
transcript.pyannote[114].end 535.93034375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 536.90909375
transcript.pyannote[115].end 537.58409375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 538.09034375
transcript.pyannote[116].end 538.61346875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 539.55846875
transcript.pyannote[117].end 540.67221875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 541.44846875
transcript.pyannote[118].end 541.88721875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 542.89971875
transcript.pyannote[119].end 545.00909375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 545.80221875
transcript.pyannote[120].end 546.39284375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 547.05096875
transcript.pyannote[121].end 549.09284375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 549.26159375
transcript.pyannote[122].end 549.81846875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 550.78034375
transcript.pyannote[123].end 552.58596875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 552.95721875
transcript.pyannote[124].end 566.03534375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 566.06909375
transcript.pyannote[125].end 567.03096875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 567.87471875
transcript.pyannote[126].end 569.74784375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 570.00096875
transcript.pyannote[127].end 570.77721875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 572.41409375
transcript.pyannote[128].end 573.47721875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 574.30409375
transcript.pyannote[129].end 575.21534375
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 575.73846875
transcript.pyannote[130].end 586.04909375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 579.19784375
transcript.pyannote[131].end 580.17659375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 581.77971875
transcript.pyannote[132].end 581.99909375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 586.04909375
transcript.pyannote[133].end 598.94159375
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 586.21784375
transcript.pyannote[134].end 586.31909375
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 599.93721875
transcript.pyannote[135].end 601.03409375
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 601.52346875
transcript.pyannote[136].end 607.73346875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 605.80971875
transcript.pyannote[137].end 606.55221875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 606.70409375
transcript.pyannote[138].end 612.28971875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 612.52596875
transcript.pyannote[139].end 615.19221875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 615.88409375
transcript.pyannote[140].end 622.88721875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 624.42284375
transcript.pyannote[141].end 625.38471875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 626.86971875
transcript.pyannote[142].end 628.38846875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 628.82721875
transcript.pyannote[143].end 629.38409375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 629.95784375
transcript.pyannote[144].end 634.19346875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 634.34534375
transcript.pyannote[145].end 643.44096875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 644.06534375
transcript.pyannote[146].end 645.95534375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 646.54596875
transcript.pyannote[147].end 647.91284375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 649.33034375
transcript.pyannote[148].end 658.17284375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 659.05034375
transcript.pyannote[149].end 660.36659375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 661.31159375
transcript.pyannote[150].end 667.21784375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 668.06159375
transcript.pyannote[151].end 673.14096875
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 671.31846875
transcript.pyannote[152].end 672.01034375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 673.30971875
transcript.pyannote[153].end 675.14909375
transcript.pyannote[154].speaker SPEAKER_03
transcript.pyannote[154].start 677.07284375
transcript.pyannote[154].end 679.30034375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 677.66346875
transcript.pyannote[155].end 680.09346875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 681.00471875
transcript.pyannote[156].end 681.56159375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 683.60346875
transcript.pyannote[157].end 683.70471875
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 683.70471875
transcript.pyannote[158].end 683.72159375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 683.72159375
transcript.pyannote[159].end 684.51471875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 684.56534375
transcript.pyannote[160].end 699.87096875
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 688.31159375
transcript.pyannote[161].end 692.39534375
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 700.20846875
transcript.pyannote[162].end 705.23721875
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 706.03034375
transcript.pyannote[163].end 709.06784375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 709.47284375
transcript.pyannote[164].end 712.88159375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 713.28659375
transcript.pyannote[165].end 719.53034375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 720.84659375
transcript.pyannote[166].end 723.64784375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 724.03596875
transcript.pyannote[167].end 725.01471875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 725.75721875
transcript.pyannote[168].end 729.28409375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 729.94221875
transcript.pyannote[169].end 732.33846875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 733.14846875
transcript.pyannote[170].end 735.03846875
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 735.03846875
transcript.pyannote[171].end 746.15909375
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 746.83409375
transcript.pyannote[172].end 748.09971875
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 748.33596875
transcript.pyannote[173].end 764.04659375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 761.92034375
transcript.pyannote[174].end 764.46846875
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 764.46846875
transcript.pyannote[175].end 764.50221875
transcript.pyannote[176].speaker SPEAKER_03
transcript.pyannote[176].start 764.89034375
transcript.pyannote[176].end 765.17721875
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 765.17721875
transcript.pyannote[177].end 765.36284375
transcript.pyannote[178].speaker SPEAKER_03
transcript.pyannote[178].start 765.36284375
transcript.pyannote[178].end 765.37971875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 765.37971875
transcript.pyannote[179].end 765.48096875
transcript.pyannote[180].speaker SPEAKER_03
transcript.pyannote[180].start 765.48096875
transcript.pyannote[180].end 765.54846875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 765.54846875
transcript.pyannote[181].end 765.85221875
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 765.85221875
transcript.pyannote[182].end 765.95346875
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 765.95346875
transcript.pyannote[183].end 767.74221875
transcript.pyannote[184].speaker SPEAKER_03
transcript.pyannote[184].start 766.08846875
transcript.pyannote[184].end 766.81409375
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 768.23159375
transcript.pyannote[185].end 770.44221875
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 771.13409375
transcript.pyannote[186].end 772.31534375
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 773.76659375
transcript.pyannote[187].end 774.40784375
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 774.69471875
transcript.pyannote[188].end 778.13721875
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 779.67284375
transcript.pyannote[189].end 781.02284375
transcript.pyannote[190].speaker SPEAKER_03
transcript.pyannote[190].start 782.23784375
transcript.pyannote[190].end 782.25471875
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 782.25471875
transcript.pyannote[191].end 783.63846875
transcript.pyannote[192].speaker SPEAKER_03
transcript.pyannote[192].start 783.63846875
transcript.pyannote[192].end 783.67221875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 783.67221875
transcript.pyannote[193].end 783.73971875
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 783.73971875
transcript.pyannote[194].end 783.97596875
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 783.97596875
transcript.pyannote[195].end 786.35534375
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 785.95034375
transcript.pyannote[196].end 788.93721875
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 786.54096875
transcript.pyannote[197].end 798.79221875
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 790.25346875
transcript.pyannote[198].end 790.52346875
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 792.68346875
transcript.pyannote[199].end 794.06721875
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 796.31159375
transcript.pyannote[200].end 805.13721875
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 800.96909375
transcript.pyannote[201].end 807.66846875
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 808.86659375
transcript.pyannote[202].end 823.29471875
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 810.19971875
transcript.pyannote[203].end 810.85784375
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 816.19034375
transcript.pyannote[204].end 825.23534375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 824.77971875
transcript.pyannote[205].end 833.08221875
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 833.70659375
transcript.pyannote[206].end 833.82471875
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 833.82471875
transcript.pyannote[207].end 834.12846875
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 834.12846875
transcript.pyannote[208].end 837.53721875
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 834.28034375
transcript.pyannote[209].end 836.05221875
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 838.04346875
transcript.pyannote[210].end 857.61846875
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 849.38346875
transcript.pyannote[211].end 857.60159375
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 857.61846875
transcript.pyannote[212].end 860.70659375
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 860.70659375
transcript.pyannote[213].end 874.47659375
transcript.pyannote[214].speaker SPEAKER_03
transcript.pyannote[214].start 860.75721875
transcript.pyannote[214].end 864.06471875
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 864.08159375
transcript.pyannote[215].end 864.09846875
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 864.40221875
transcript.pyannote[216].end 864.87471875
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 864.87471875
transcript.pyannote[217].end 864.89159375
transcript.pyannote[218].speaker SPEAKER_03
transcript.pyannote[218].start 868.57034375
transcript.pyannote[218].end 869.29596875
transcript.pyannote[219].speaker SPEAKER_03
transcript.pyannote[219].start 871.87784375
transcript.pyannote[219].end 873.88596875
transcript.pyannote[220].speaker SPEAKER_03
transcript.pyannote[220].start 874.02096875
transcript.pyannote[220].end 874.24034375
transcript.pyannote[221].speaker SPEAKER_03
transcript.pyannote[221].start 874.47659375
transcript.pyannote[221].end 874.54409375
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 874.54409375
transcript.pyannote[222].end 874.96596875
transcript.pyannote[223].speaker SPEAKER_03
transcript.pyannote[223].start 874.96596875
transcript.pyannote[223].end 886.39034375
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 877.07534375
transcript.pyannote[224].end 878.18909375
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 883.89284375
transcript.pyannote[225].end 886.32284375
transcript.pyannote[226].speaker SPEAKER_03
transcript.pyannote[226].start 886.77846875
transcript.pyannote[226].end 890.18721875
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 887.67284375
transcript.pyannote[227].end 897.49409375
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 897.54471875
transcript.pyannote[228].end 899.26596875
transcript.pyannote[229].speaker SPEAKER_02
transcript.pyannote[229].start 900.19409375
transcript.pyannote[229].end 901.25721875
transcript.pyannote[230].speaker SPEAKER_02
transcript.pyannote[230].start 901.86471875
transcript.pyannote[230].end 903.88971875
transcript.pyannote[231].speaker SPEAKER_02
transcript.pyannote[231].start 904.26096875
transcript.pyannote[231].end 905.39159375
transcript.pyannote[232].speaker SPEAKER_02
transcript.pyannote[232].start 905.98221875
transcript.pyannote[232].end 906.53909375
transcript.pyannote[233].speaker SPEAKER_02
transcript.pyannote[233].start 907.92284375
transcript.pyannote[233].end 912.29346875
transcript.pyannote[234].speaker SPEAKER_02
transcript.pyannote[234].start 913.22159375
transcript.pyannote[234].end 916.49534375
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 917.25471875
transcript.pyannote[235].end 917.96346875
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 917.96346875
transcript.pyannote[236].end 921.38909375
transcript.pyannote[237].speaker SPEAKER_03
transcript.pyannote[237].start 918.41909375
transcript.pyannote[237].end 919.97159375
transcript.pyannote[238].speaker SPEAKER_02
transcript.pyannote[238].start 921.67596875
transcript.pyannote[238].end 928.93221875
transcript.pyannote[239].speaker SPEAKER_03
transcript.pyannote[239].start 924.98346875
transcript.pyannote[239].end 926.70471875
transcript.pyannote[240].speaker SPEAKER_02
transcript.pyannote[240].start 929.20221875
transcript.pyannote[240].end 931.78409375
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 932.72909375
transcript.pyannote[241].end 935.46284375
transcript.pyannote[242].speaker SPEAKER_03
transcript.pyannote[242].start 935.46284375
transcript.pyannote[242].end 936.00284375
transcript.pyannote[243].speaker SPEAKER_02
transcript.pyannote[243].start 935.73284375
transcript.pyannote[243].end 942.07784375
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 943.09034375
transcript.pyannote[244].end 944.72721875
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 945.18284375
transcript.pyannote[245].end 949.19909375
transcript.pyannote[246].speaker SPEAKER_02
transcript.pyannote[246].start 950.05971875
transcript.pyannote[246].end 951.15659375
transcript.pyannote[247].speaker SPEAKER_02
transcript.pyannote[247].start 952.52346875
transcript.pyannote[247].end 954.16034375
transcript.pyannote[248].speaker SPEAKER_02
transcript.pyannote[248].start 955.91534375
transcript.pyannote[248].end 958.36221875
transcript.pyannote[249].speaker SPEAKER_02
transcript.pyannote[249].start 958.96971875
transcript.pyannote[249].end 967.10346875
transcript.pyannote[250].speaker SPEAKER_02
transcript.pyannote[250].start 967.74471875
transcript.pyannote[250].end 970.59659375
transcript.pyannote[251].speaker SPEAKER_02
transcript.pyannote[251].start 972.18284375
transcript.pyannote[251].end 974.22471875
transcript.pyannote[252].speaker SPEAKER_03
transcript.pyannote[252].start 974.22471875
transcript.pyannote[252].end 974.24159375
transcript.pyannote[253].speaker SPEAKER_03
transcript.pyannote[253].start 974.56221875
transcript.pyannote[253].end 1009.20659375
transcript.pyannote[254].speaker SPEAKER_03
transcript.pyannote[254].start 1009.27409375
transcript.pyannote[254].end 1011.80534375
transcript.pyannote[255].speaker SPEAKER_02
transcript.pyannote[255].start 1011.80534375
transcript.pyannote[255].end 1017.40784375
transcript.pyannote[256].speaker SPEAKER_03
transcript.pyannote[256].start 1017.40784375
transcript.pyannote[256].end 1020.31034375
transcript.pyannote[257].speaker SPEAKER_02
transcript.pyannote[257].start 1017.54284375
transcript.pyannote[257].end 1022.95971875
transcript.pyannote[258].speaker SPEAKER_02
transcript.pyannote[258].start 1023.11159375
transcript.pyannote[258].end 1025.23784375
transcript.pyannote[259].speaker SPEAKER_03
transcript.pyannote[259].start 1023.34784375
transcript.pyannote[259].end 1025.55846875
transcript.pyannote[260].speaker SPEAKER_02
transcript.pyannote[260].start 1025.79471875
transcript.pyannote[260].end 1028.05596875
transcript.pyannote[261].speaker SPEAKER_02
transcript.pyannote[261].start 1028.79846875
transcript.pyannote[261].end 1029.06846875
transcript.pyannote[262].speaker SPEAKER_01
transcript.pyannote[262].start 1031.16096875
transcript.pyannote[262].end 1031.17784375
transcript.pyannote[263].speaker SPEAKER_02
transcript.pyannote[263].start 1031.17784375
transcript.pyannote[263].end 1031.66721875
transcript.pyannote[264].speaker SPEAKER_02
transcript.pyannote[264].start 1032.88221875
transcript.pyannote[264].end 1033.52346875
transcript.pyannote[265].speaker SPEAKER_02
transcript.pyannote[265].start 1034.46846875
transcript.pyannote[265].end 1037.99534375
transcript.pyannote[266].speaker SPEAKER_01
transcript.pyannote[266].start 1037.99534375
transcript.pyannote[266].end 1039.19346875
transcript.pyannote[267].speaker SPEAKER_02
transcript.pyannote[267].start 1039.19346875
transcript.pyannote[267].end 1045.63971875
transcript.pyannote[268].speaker SPEAKER_01
transcript.pyannote[268].start 1039.22721875
transcript.pyannote[268].end 1039.26096875
transcript.pyannote[269].speaker SPEAKER_01
transcript.pyannote[269].start 1039.32846875
transcript.pyannote[269].end 1039.37909375
transcript.pyannote[270].speaker SPEAKER_02
transcript.pyannote[270].start 1046.12909375
transcript.pyannote[270].end 1050.36471875
transcript.pyannote[271].speaker SPEAKER_02
transcript.pyannote[271].start 1050.98909375
transcript.pyannote[271].end 1053.04784375
transcript.pyannote[272].speaker SPEAKER_02
transcript.pyannote[272].start 1053.55409375
transcript.pyannote[272].end 1057.24971875
transcript.pyannote[273].speaker SPEAKER_01
transcript.pyannote[273].start 1057.45221875
transcript.pyannote[273].end 1058.70096875
transcript.pyannote[274].speaker SPEAKER_02
transcript.pyannote[274].start 1058.24534375
transcript.pyannote[274].end 1064.16846875
transcript.pyannote[275].speaker SPEAKER_01
transcript.pyannote[275].start 1063.47659375
transcript.pyannote[275].end 1064.15159375
transcript.pyannote[276].speaker SPEAKER_01
transcript.pyannote[276].start 1064.16846875
transcript.pyannote[276].end 1065.40034375
transcript.pyannote[277].speaker SPEAKER_02
transcript.pyannote[277].start 1065.40034375
transcript.pyannote[277].end 1066.63221875
transcript.pyannote[278].speaker SPEAKER_01
transcript.pyannote[278].start 1065.45096875
transcript.pyannote[278].end 1065.67034375
transcript.pyannote[279].speaker SPEAKER_02
transcript.pyannote[279].start 1067.18909375
transcript.pyannote[279].end 1070.51346875
transcript.pyannote[280].speaker SPEAKER_01
transcript.pyannote[280].start 1070.51346875
transcript.pyannote[280].end 1070.85096875
transcript.pyannote[281].speaker SPEAKER_02
transcript.pyannote[281].start 1070.85096875
transcript.pyannote[281].end 1071.03659375
transcript.pyannote[282].speaker SPEAKER_01
transcript.pyannote[282].start 1071.03659375
transcript.pyannote[282].end 1086.25784375
transcript.pyannote[283].speaker SPEAKER_02
transcript.pyannote[283].start 1071.05346875
transcript.pyannote[283].end 1071.74534375
transcript.pyannote[284].speaker SPEAKER_02
transcript.pyannote[284].start 1086.25784375
transcript.pyannote[284].end 1086.35909375
transcript.pyannote[285].speaker SPEAKER_02
transcript.pyannote[285].start 1086.44346875
transcript.pyannote[285].end 1086.49409375
transcript.pyannote[286].speaker SPEAKER_01
transcript.pyannote[286].start 1086.49409375
transcript.pyannote[286].end 1086.59534375
transcript.pyannote[287].speaker SPEAKER_02
transcript.pyannote[287].start 1086.59534375
transcript.pyannote[287].end 1087.64159375
transcript.pyannote[288].speaker SPEAKER_01
transcript.pyannote[288].start 1087.64159375
transcript.pyannote[288].end 1087.69221875
transcript.pyannote[289].speaker SPEAKER_02
transcript.pyannote[289].start 1087.69221875
transcript.pyannote[289].end 1087.72596875
transcript.pyannote[290].speaker SPEAKER_01
transcript.pyannote[290].start 1087.72596875
transcript.pyannote[290].end 1087.96221875
transcript.pyannote[291].speaker SPEAKER_02
transcript.pyannote[291].start 1087.96221875
transcript.pyannote[291].end 1112.38034375
transcript.pyannote[292].speaker SPEAKER_01
transcript.pyannote[292].start 1089.98721875
transcript.pyannote[292].end 1090.22346875
transcript.pyannote[293].speaker SPEAKER_01
transcript.pyannote[293].start 1093.86846875
transcript.pyannote[293].end 1094.18909375
transcript.pyannote[294].speaker SPEAKER_01
transcript.pyannote[294].start 1107.68909375
transcript.pyannote[294].end 1108.34721875
transcript.pyannote[295].speaker SPEAKER_03
transcript.pyannote[295].start 1112.38034375
transcript.pyannote[295].end 1112.58284375
transcript.pyannote[296].speaker SPEAKER_02
transcript.pyannote[296].start 1112.83596875
transcript.pyannote[296].end 1114.01721875
transcript.pyannote[297].speaker SPEAKER_01
transcript.pyannote[297].start 1113.05534375
transcript.pyannote[297].end 1113.07221875
transcript.pyannote[298].speaker SPEAKER_01
transcript.pyannote[298].start 1113.08909375
transcript.pyannote[298].end 1113.15659375
transcript.pyannote[299].speaker SPEAKER_02
transcript.pyannote[299].start 1114.75971875
transcript.pyannote[299].end 1118.69159375
transcript.pyannote[300].speaker SPEAKER_02
transcript.pyannote[300].start 1118.97846875
transcript.pyannote[300].end 1120.51409375
transcript.pyannote[301].speaker SPEAKER_01
transcript.pyannote[301].start 1120.51409375
transcript.pyannote[301].end 1121.13846875
transcript.pyannote[302].speaker SPEAKER_02
transcript.pyannote[302].start 1120.54784375
transcript.pyannote[302].end 1123.39971875
transcript.pyannote[303].speaker SPEAKER_01
transcript.pyannote[303].start 1122.69096875
transcript.pyannote[303].end 1125.81284375
transcript.pyannote[304].speaker SPEAKER_01
transcript.pyannote[304].start 1126.38659375
transcript.pyannote[304].end 1134.79034375
transcript.pyannote[305].speaker SPEAKER_02
transcript.pyannote[305].start 1131.43221875
transcript.pyannote[305].end 1142.89034375
transcript.pyannote[306].speaker SPEAKER_01
transcript.pyannote[306].start 1135.17846875
transcript.pyannote[306].end 1135.24596875
transcript.pyannote[307].speaker SPEAKER_01
transcript.pyannote[307].start 1137.25409375
transcript.pyannote[307].end 1139.19471875
transcript.pyannote[308].speaker SPEAKER_02
transcript.pyannote[308].start 1143.24471875
transcript.pyannote[308].end 1144.03784375
transcript.pyannote[309].speaker SPEAKER_01
transcript.pyannote[309].start 1144.03784375
transcript.pyannote[309].end 1144.83096875
transcript.pyannote[310].speaker SPEAKER_02
transcript.pyannote[310].start 1144.83096875
transcript.pyannote[310].end 1144.93221875
transcript.pyannote[311].speaker SPEAKER_01
transcript.pyannote[311].start 1144.93221875
transcript.pyannote[311].end 1145.42159375
transcript.pyannote[312].speaker SPEAKER_02
transcript.pyannote[312].start 1144.98284375
transcript.pyannote[312].end 1149.28596875
transcript.pyannote[313].speaker SPEAKER_01
transcript.pyannote[313].start 1146.13034375
transcript.pyannote[313].end 1146.28221875
transcript.pyannote[314].speaker SPEAKER_01
transcript.pyannote[314].start 1146.55221875
transcript.pyannote[314].end 1146.60284375
transcript.pyannote[315].speaker SPEAKER_01
transcript.pyannote[315].start 1149.57284375
transcript.pyannote[315].end 1153.67346875
transcript.pyannote[316].speaker SPEAKER_02
transcript.pyannote[316].start 1150.65284375
transcript.pyannote[316].end 1150.97346875
transcript.pyannote[317].speaker SPEAKER_02
transcript.pyannote[317].start 1153.67346875
transcript.pyannote[317].end 1159.59659375
transcript.pyannote[318].speaker SPEAKER_01
transcript.pyannote[318].start 1156.37346875
transcript.pyannote[318].end 1156.72784375
transcript.pyannote[319].speaker SPEAKER_01
transcript.pyannote[319].start 1159.59659375
transcript.pyannote[319].end 1171.03784375
transcript.pyannote[320].speaker SPEAKER_01
transcript.pyannote[320].start 1171.12221875
transcript.pyannote[320].end 1174.96971875
transcript.pyannote[321].speaker SPEAKER_02
transcript.pyannote[321].start 1174.96971875
transcript.pyannote[321].end 1191.84471875
transcript.pyannote[322].speaker SPEAKER_01
transcript.pyannote[322].start 1175.15534375
transcript.pyannote[322].end 1176.91034375
transcript.pyannote[323].speaker SPEAKER_02
transcript.pyannote[323].start 1192.46909375
transcript.pyannote[323].end 1209.39471875
transcript.pyannote[324].speaker SPEAKER_01
transcript.pyannote[324].start 1204.55159375
transcript.pyannote[324].end 1205.51346875
transcript.pyannote[325].speaker SPEAKER_01
transcript.pyannote[325].start 1206.30659375
transcript.pyannote[325].end 1207.40346875
transcript.pyannote[326].speaker SPEAKER_01
transcript.pyannote[326].start 1207.63971875
transcript.pyannote[326].end 1220.17784375
transcript.pyannote[327].speaker SPEAKER_00
transcript.pyannote[327].start 1217.64659375
transcript.pyannote[327].end 1227.11346875
transcript.pyannote[328].speaker SPEAKER_01
transcript.pyannote[328].start 1220.26221875
transcript.pyannote[328].end 1220.27909375
transcript.pyannote[329].speaker SPEAKER_01
transcript.pyannote[329].start 1224.34596875
transcript.pyannote[329].end 1224.58221875
transcript.pyannote[330].speaker SPEAKER_00
transcript.pyannote[330].start 1228.10909375
transcript.pyannote[330].end 1234.90971875
transcript.pyannote[331].speaker SPEAKER_00
transcript.pyannote[331].start 1235.56784375
transcript.pyannote[331].end 1239.02721875
transcript.pyannote[332].speaker SPEAKER_01
transcript.pyannote[332].start 1239.65159375
transcript.pyannote[332].end 1239.66846875
transcript.pyannote[333].speaker SPEAKER_03
transcript.pyannote[333].start 1239.66846875
transcript.pyannote[333].end 1239.97221875
transcript.pyannote[334].speaker SPEAKER_00
transcript.pyannote[334].start 1239.83721875
transcript.pyannote[334].end 1240.34346875
transcript.pyannote[335].speaker SPEAKER_01
transcript.pyannote[335].start 1239.97221875
transcript.pyannote[335].end 1240.32659375
transcript.whisperx[0].start 0.289
transcript.whisperx[0].end 15.184
transcript.whisperx[0].text 議員之委員謝謝主席 麻煩請次長麻煩請次長
transcript.whisperx[1].start 21.703
transcript.whisperx[1].end 30.973
transcript.whisperx[1].text 我也好我相信自然剛剛早上你到教育文化委員會的時候你應該看到外面有一整排的記者是我們教育文化委員會何時有那麼多記者過
transcript.whisperx[2].start 32.165
transcript.whisperx[2].end 57.055
transcript.whisperx[2].text 那為什麼呢因為現在教育的議題是全國關注的議題大家都很期待來到這邊碰到教育部長鄭英耀先生可以詢問他現在教育的狀況但是很遺憾的今天我們羅廷偉召委排有關於教育部的法案進行詢答而且大家那麼關心教育現在所面臨到的問題現在已經是全國關注但鄭英耀部長不來
transcript.whisperx[3].start 59.238
transcript.whisperx[3].end 62.011
transcript.whisperx[3].text 請假請問一下他是有什麼重要事不來
transcript.whisperx[4].start 63.714
transcript.whisperx[4].end 88.139
transcript.whisperx[4].text 跟委員報告 因為部長早上另外有行程另外有行程 請問一下那麼多委員會134在開會 這麼多委員會其他委員會的部長 主委都可以來只有我們政要部長在全國民眾在關注教育問題希望他發表一些聲音的時候他不願意面對社會大眾
transcript.whisperx[5].start 89.424
transcript.whisperx[5].end 113.486
transcript.whisperx[5].text 這什麼重要的事啊根文報告因為早上部長到行政院院會因為有教育部的提案教育部什麼提案教育部什麼重要的提案你講一下什麼重要的提案對什麼重要的提案啊也是跟我們這一次在就學貸款相關的一個經濟措施什麼經濟措施啊那為什麼今天立法院就是在討論這個然後他不願意來勒
transcript.whisperx[6].start 117.069
transcript.whisperx[6].end 135.961
transcript.whisperx[6].text 我們現在部長因為他在行政院院會他必須去針對我們這個更委的目的場是一樣什麼目的場一樣今天雖然排的是學代雖然排的是營養午餐但是大家很希望部長針對現在的教育的問題包括教育現場失序的狀況來對社會大眾說明嘛
transcript.whisperx[7].start 138.682
transcript.whisperx[7].end 161.781
transcript.whisperx[7].text 結果用了一個他那麼重視這個東西你說學貸是不是這麼重視那我們學貸三法大家都多久了行政院有版本嗎教育部有版本嗎教育部有沒有版本嘛有沒有版本你回答有沒有版本有沒有你養午餐法有沒有版本那就是不夠嘛就是因為不夠學生團體也覺得不夠所以大家才覺得要入法嘛
transcript.whisperx[8].start 162.441
transcript.whisperx[8].end 189.519
transcript.whisperx[8].text 如果那麼重視的話你怎麼沒有立刻宣布呢你具體的精進作為是什麼為什麼學生團體選不夠呢市長啊 大家都是明眼人啊今天部長不願意來啊就是不想要面對這位大眾對於現在教育失序的質疑嘛我就問啊請問一下教育部長這幾天 這一兩個禮拜包括有高雄的國小的不幸老師的不幸事件包括一連串的教育失序的亂象部長出來講話嗎
transcript.whisperx[9].start 191.53
transcript.whisperx[9].end 211.379
transcript.whisperx[9].text 有沒有跟委員報告教育部是一體的部長有沒有出來講話那不然你來當部長好了你可以說因為教育部是一體的所以部長就不用講話他是教育部的大家長他的態度可以影響整個教育政策所以大家想要知道他的聲音
transcript.whisperx[10].start 213.527
transcript.whisperx[10].end 227.552
transcript.whisperx[10].text 今天一整天大家都在講那個鐵拳教育鐵拳教育啦對沒有錯鐵拳教育很紅也很多人Q我去看因為他們都知道我長期在關注教育議題老師的權益很多人Q我去看我也去看了可是次長你知道為什麼鐵拳教育會這麼紅嗎
transcript.whisperx[11].start 229.457
transcript.whisperx[11].end 257.307
transcript.whisperx[11].text 是因為大家很有共鳴啦大家看到了韓國他們因為很多也是真人真事他們把很多他們教育現場的失序狀況把它演出來然後他有一個英雄叫全局的督導可以去解決這些教育亂象當然這是戲劇有一些在現實生活不太可能存在可是問題是大家可以在現實上面的壓力已不滿透過戲劇的方式得到抒發所以鐵拳教育才這麼紅啊
transcript.whisperx[12].start 258.527
transcript.whisperx[12].end 282.388
transcript.whisperx[12].text 但是為什麼我們這邊都沒有共平因為台灣的教育跟韓國面臨到一樣的狀況可是我們的教權局在哪裡我們的部長在哪裡我們的任何教育部的官員可以跟我們的家長老師學生講說你們的解決方案是什麼嗎沒有教育部長躲起來我給你看一下我給你看一下這個等一下再秀這個就是那個
transcript.whisperx[13].start 285.7
transcript.whisperx[13].end 301.646
transcript.whisperx[13].text 鐵拳 你沒看過嘛 對不對這就是鐵拳教育的部長啦他說我們來建立一個不會再有老師因為投訴而死去的環境第五集啦第五集就是在演老師被爛訴啦前面還有一集是演說
transcript.whisperx[14].start 303.12
transcript.whisperx[14].end 325.467
transcript.whisperx[14].text 老師因為管教學生學生不滿啦故意營造說老師性騷擾他但是其實沒有老師也因為這樣走上絕路啦我之前就有諮詢過部長我說現在你們去看網路一堆學生在分享怎麼把討厭的老師趕走也許比較兇的老師也許管教比較奄老師怎麼趕走檢舉他性平就好因為性平很主觀
transcript.whisperx[15].start 327.589
transcript.whisperx[15].end 352.378
transcript.whisperx[15].text 這些事情都發生在我們的台灣的教育現場啊是的啊是那我們的部長在哪裡人家戲劇裡面的部長從去年開始我們就有一連串跟地方戰務跟家長最近幾天人家的人家戲劇裡面的部長面對很多教育的現場問題的時候自己站上第一線面對媒體回答問題我們的部長咧你看一下我們部長在幹嘛下一頁
transcript.whisperx[16].start 357.529
transcript.whisperx[16].end 361.691
transcript.whisperx[16].text 上一頁不是有一頁部長去雲林的嗎我剛剛我注意沒有放他去哪裡去彰化這兩天去彰化參加民進黨辦的活動跟農業部長陳俊濟去參加民進黨辦的活動就很有時間
transcript.whisperx[17].start 384.687
transcript.whisperx[17].end 406.543
transcript.whisperx[17].text 後面的你要不要直接來回答要不要要不要你直接來回答好了好不好沒有 跟委員報告其實部長部長有時間去參加民進黨辦的活動但是面對現在大家對教育眾不滿部長呢協尋部長連今天都不來張國立都在積極在處理這個那莫總不願意出來面對國會為什麼不願意出來面對媒體
transcript.whisperx[18].start 410.902
transcript.whisperx[18].end 432.899
transcript.whisperx[18].text 部長 從去年開始 我們就一直帶著我們部裡面的同仁我們針對現場遇到的問題 包含校室會議問題 老師的管教權是喔你真的自我感覺良好啦 今天大家就是要來問這個嘛媒體也是要來問這個嘛 人呢這樣的措施從今年就是不夠嘛 還是市長你覺得已經做得很好了
transcript.whisperx[19].start 433.806
transcript.whisperx[19].end 448.378
transcript.whisperx[19].text 我覺得很好了是不是如果很好了這幾天大家會炸鍋嗎教育議題本來大家關注沒那麼多就除了我們教育文化委員會我們很多委員在關注之外現在大家都在關注結果部長咧
transcript.whisperx[20].start 450.677
transcript.whisperx[20].end 474.313
transcript.whisperx[20].text 我還是跟委員報告部長從去年開始哎呀你是次長你當然要這樣講嘛因為他是你長官嘛但是你們跟一般的民眾跟老師跟學生跟家長的感覺差很多次長我不為難你啦作為他是你的長官你當然要說他的好話但你越說其實越幫他扣分因為你越幫他擦脂挪粉大家的感受會覺得你們怎麼自我感覺這麼良好
transcript.whisperx[21].start 478.536
transcript.whisperx[21].end 498.276
transcript.whisperx[21].text 第一個啦 爛數的問題趕快解決啦你剛剛講說那個現在的 什麼 建案的只剩兩層投訴 投訴 最後進到消息會議去調查的已經從八成二降到兩成二那這兩層之後的爛數是多少
transcript.whisperx[22].start 502.974
transcript.whisperx[22].end 515.749
transcript.whisperx[22].text 這是我們在這半年來的統計我們在七月份中旬的時候會有一個更明確的檢討分析到時候也可以跟委員做說明在下次會議一月份改革之後現在第一個 兩層還是很多
transcript.whisperx[23].start 517.611
transcript.whisperx[23].end 544.766
transcript.whisperx[23].text 第二兩層進去之後會不會兩層都是爛樹這才是最這才是關鍵的問題嗎所以你要去解決爛樹的問題不是喜滋滋的講說現在現在成案的只剩兩層不是是爛樹好這第一件事情第二件事情你看剛剛看那個一個老師被捅被學生捅屁股然後老師在寫黑板一個女老師喔
transcript.whisperx[24].start 546.014
transcript.whisperx[24].end 574.863
transcript.whisperx[24].text 紅屁股本能試著把學生推開結果老師被處分為什麼呢因為寫這個報告的人是說即使被行為人是故意戳行為人屁股就學生是故意戳行為人屁股甚至是戳中肛門但身為老師還是不應該有傷害學生的行為所以他被處分老師本能試著把學生推開自衛室結果他被處分市長你覺得OK嗎
transcript.whisperx[25].start 576.185
transcript.whisperx[25].end 598.732
transcript.whisperx[25].text 跟我們報告因為這部分我們會請宜蘭縣政府你覺得OK嗎你覺得不覺得OK嗎如果從目前我看到的訊息來看確實有重新整促的那太誇張了嘛這個就校事會議啊你們校事會議引進了很多所謂的外部專家或者是什麼家長委員這就是一個據我了解是一個家長委員寫的啦
transcript.whisperx[26].start 600.137
transcript.whisperx[26].end 627.654
transcript.whisperx[26].text 跟我們報告在校士會議的人才資料庫裡面我們也會有一些定期的我們會來檢視市長這就是一個很大的問題嘛這一種狀況非常多嘛只是因為這個有網路上的人PO出來嘛那你今天你今天校士會議為什麼變成這樣當初跟你們教育部一起推校士會議的人本基金會有沒有仇失我看到你知道他講什麼嗎他說
transcript.whisperx[27].start 630.031
transcript.whisperx[27].end 656.579
transcript.whisperx[27].text 哎呀老師們也不要因為被爛訴啊就失去了原本跟學生的關係嘛對不對校士會議調查完之後如果老師沒事也是還老師清白啊哇賽 站著講話不腰疼欸那要不要他被調查看看所有的老師雖然被調查最後還清白但是會經歷四到六個月的煎熬欸很多老師講說這個調查過程就是羞辱
transcript.whisperx[28].start 659.096
transcript.whisperx[28].end 678.215
transcript.whisperx[28].text 被扒了好幾層皮而且我們校士會一個最誇張的事情就是我之前也質詢過行政院長卓榮泰我不知道他有沒有重視他也覺得不合理但是校士會依然沒有改革就是所有的我還沒講講到卓榮泰你就急著護航是不是我還沒有問問題我要問什麼
transcript.whisperx[29].start 683.712
transcript.whisperx[29].end 705.002
transcript.whisperx[29].text 委員請說那你為什麼聽到卓榮泰你這麼緊張我是跟委員解釋說我都還沒問問題啊我還沒問我跟他講說所有的司法都是無罪推定只有校室會議是有罪推定他覺得合不合理他還覺得不合理老師被投訴之後所有老師要自己收集資料去自證自己無罪
transcript.whisperx[30].start 706.052
transcript.whisperx[30].end 730.95
transcript.whisperx[30].text 他光收集資料就好了啦最後證明無罪啦結果呢都不用備課了啦心情都受到影響了啦被扒了幾層皮之後人本基基會的講說這也是證明清白的機會啊你不要因為這樣難過嘛校日會已經成為一個非常扭曲的制度對於老師充滿了仇恨寧可錯殺一百不可放過一人所以才會造成這樣子爛樹的狀況
transcript.whisperx[31].start 733.503
transcript.whisperx[31].end 745.97
transcript.whisperx[31].text 你們教育部到底知不知道問題啊我想跟委員報告就是說您講的這些事實可能在去年12月以前在現場有可能發生但是在今年1月部裡面針對校事會議我們有做了
transcript.whisperx[32].start 746.874
transcript.whisperx[32].end 772.163
transcript.whisperx[32].text 不准立民選舉案件的分流輔導資訊的公開那甚至說調查報告出來主管機關也可以再做一些審視加強事後的監督是不是讓我們有這半你看這半年的時間有罪推定呢沒有所謂的有罪推定就是有推推進老師要自證自己無罪你是不是管國教的
transcript.whisperx[33].start 774.757
transcript.whisperx[33].end 780.735
transcript.whisperx[33].text 我是獨島高教 你不知道就不要隨便講好不好有罪推定就是有
transcript.whisperx[34].start 782.301
transcript.whisperx[34].end 807.195
transcript.whisperx[34].text 我們沒有這樣子的條文 真的你沒有這個條文 那個現行做法就是這樣嘛不要不死人間煙火教育部最大的問題就是不死人間煙火啦從你的對答就知道了啦跟你講教育現狀就是這樣你就去檢討嘛 你就改進嘛結果你一直跟我講沒有沒有 我們這半年來的收集會再提高半年來就是不夠嘛而且我跟你講有罪推定就是沒有改嘛有罪推定就是沒有改就是會造成爛數
transcript.whisperx[35].start 808.885
transcript.whisperx[35].end 836.78
transcript.whisperx[35].text 沒有有所以推定這個就是有如果有怎麼辦市長有的話怎麼辦條文沒有條文沒有但實際上就是有嘛那你要不要去了解你要不要去了解你要不要去了解現實的狀況你要不要去了解不要在那邊耍嘴皮子教育部就是一副雲淡風輕啦所以說老師面對這些困難的情況之下教育部就是說條文沒有老師隨便你啦我跟你講鐵拳教育裡面的部長講什麼
transcript.whisperx[36].start 838.42
transcript.whisperx[36].end 850.508
transcript.whisperx[36].text 鞠躬道歉跟所有老師說對不起讓所有的老師獨自面對教育的困境而我們的教育部的次長在說什麼沒有這回事啦沒有這回事條文沒有啦條文沒有啦
transcript.whisperx[37].start 853.89
transcript.whisperx[37].end 880.441
transcript.whisperx[37].text 部長不敢來 次長說條文沒有啦現實狀況教育部就是假裝沒看到啦你們這半年有做啦 做幾分嘛考試考滿分100分 你考20分一直說我考20分 人民希望你考100分你一直考個20分在那邊講 喔有啦有20分啦 有就好了啦我希望你考100分把這半年來我們
transcript.whisperx[38].start 881.521
transcript.whisperx[38].end 906.261
transcript.whisperx[38].text 改革之後的一些成果改革有成果的話現在狀況會越來越糟嗎會越來越糟嗎我再跟你講一個啦我再跟你講一個啦除了前一兩個禮拜高雄一個國小的老師發生不幸事件之外現在也還有另外一個高雄的老師在網路上也是很紅也是很有名對教育很有貢獻但是
transcript.whisperx[39].start 907.967
transcript.whisperx[39].end 930.882
transcript.whisperx[39].text 前幾天忽然發文問說請問學校的最高樓層是幾樓後來被衛生局勸去送醫這事情你知道嗎我有在社群網站看到你有看到嗎 對嘛所以有很多狀況你都知道嘛但是你還是覺得你做得很好啊好 那一年內一年內有三個老師選擇最樓然後還有老師公然在網路發問
transcript.whisperx[40].start 932.759
transcript.whisperx[40].end 951.165
transcript.whisperx[40].text 教育部覺得做得很好了都不知道發生什麼事教育部怎麼解決老師的情緒問題呢很簡單啊就去上自殺防治研習啊都上研習嘛反而上研習被罵老師更覺得莫名其妙啊他寧可休息啊然後實際上的狀況我們來看
transcript.whisperx[41].start 955.95
transcript.whisperx[41].end 969.927
transcript.whisperx[41].text 老師的日常 年度研習一大堆環境教育4小時 交通安全4小時 特殊教育6小時 自招防治3小時 情緒教育2小時教育部永遠都用研習的方式來解決問題
transcript.whisperx[42].start 972.233
transcript.whisperx[42].end 999.239
transcript.whisperx[42].text 有沒有比較具體的方法 次長跟委員報告 研習的目的不是為了研習而研習所以我也跟幾個師處我們都在講研習之後 我們期待的目的我是希望老師能夠了解甚至校園內能夠有一個種子教師能夠來協助校園內能夠落實我們這些交通安全環境教育那這部分怎麼不要造成現場第一線老師的負擔這點我們是可以再來斟酌做更好的安排
transcript.whisperx[43].start 999.659
transcript.whisperx[43].end 1027.784
transcript.whisperx[43].text 那是不是我在希望委員讓我們把這半年來我們整理出來的在七月中我們是不是跟委員報告一下在今年一月校生會有改革的成果我剛剛其實要跟委員表達是這樣你的表達就是說法條沒有啊所以現實狀況怎麼樣我哪知道你態度就是這樣嘛沒關係啦大家都有看到我們的對話可受公平啦大家都有看到啦最後最後這個請教一下那個國教署長我們
transcript.whisperx[44].start 1032.931
transcript.whisperx[44].end 1049.772
transcript.whisperx[44].text 那個現在因為各縣市都免費營養午餐了嘛對吧現在有宣布了都免費營養午餐了但是呢這裡面有一些漏網之魚啦跟市長報告因為有一些國中他是國立的比如說我們新北市板橋區
transcript.whisperx[45].start 1051.193
transcript.whisperx[45].end 1059.961
transcript.whisperx[45].text 國立華僑高級中學他是國立的那在新北市免費營養午餐他就沒有被照顧到其實全國有十幾間都是國立的高中那我想問一下
transcript.whisperx[46].start 1068.369
transcript.whisperx[46].end 1070.691
transcript.whisperx[46].text 華僑國中的免費營養午餐怎麼處理不是啦 我現在問
transcript.whisperx[47].start 1088.766
transcript.whisperx[47].end 1103.288
transcript.whisperx[47].text 那怎麼處理嘛你是國立的那現在市立的人家要補助免費營養午餐那國立的你是不是就補助嘛不然的話怎麼大家都是在讀國中只是因為學校是市立國立的不同有的就免費營養午餐有的就沒有
transcript.whisperx[48].start 1103.809
transcript.whisperx[48].end 1125.504
transcript.whisperx[48].text 那怎麼叫教育平權呢教育平權不是你們一直在講的東西嗎那既然華僑是國立的那你就要照顧人家所以是不是國教署可以補助呢還是就讓他們成為沒有人理的一群了解 謝謝文不是啦 你要講啊所以是怎樣現在我們的了解是目前只有
transcript.whisperx[49].start 1126.705
transcript.whisperx[49].end 1148.977
transcript.whisperx[49].text 國立的嘉義科學時鐘的國中部沒有所以委員講的這個華僑也沒有是有 不過我們會後馬上了解華僑沒有 我跟你講沒有 我問過了嘛了解了解 我們馬上跟委員講為什麼每一個人來這裡都喜歡先否定呢不是 因為您事前有問我們 我們就先去了解了不用了解 我現在跟你講沒有嘛 那你要怎麼處理嘛
transcript.whisperx[50].start 1149.577
transcript.whisperx[50].end 1174.376
transcript.whisperx[50].text 如果沒有的話我們會跟當地的地方政府一起來協助大概是這樣一起協助那如果地方那一起協助什麼意思如果地方政府沒有編預算那是國教署的編預算是不是是跟委員報告在國教法裡面第九條到第十一條有提到當地的各種國中教育國小教育怎麼樣做分工我們會依據那個來執行這到底是什麼你講話我都聽不懂你到底
transcript.whisperx[51].start 1175.177
transcript.whisperx[51].end 1191.59
transcript.whisperx[51].text 我的問題很簡單勢力的就是比如說新北市政府他們有補助勢力的學校免費營養午餐但是因為新北市裡面也有國立的它就不是屬於新北市政府國立的就沒有免費營養午餐而且全國其實為數也不多都國立的
transcript.whisperx[52].start 1192.523
transcript.whisperx[52].end 1220.231
transcript.whisperx[52].text 那國教署的立場是說不理他們還是說會協調地方政府那如果地方政府不理那國教署是不是也就沒辦法還是怎麼樣還是國教署會願意編譽就這麼簡單的問題不要繞來繞去就跟剛才直接回答好嗎委員直接講直接回答啦就是我們會直接跟地方政府協調地方政府在我們協調之後通常在所有政策裡面都會一起來完成他們也會同意你確定你確定好 委員謝謝你先到了謝謝
transcript.whisperx[53].start 1220.931
transcript.whisperx[53].end 1238.282
transcript.whisperx[53].text 那也請署長會後將相關的資料提供沒問題好不好讓委員關心的事項能夠得到回覆那也再次跟委員特別報告下禮拜一有關相關的校園問題我們會有公聽會也邀請委員可以出席還拜託委員一起來發聲謝謝