iVOD / 158181

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f7e4b646118ff6a17d92fcaf13511ab5c691fc1ddc1369661b05595a75c08a285bf4b97d2a4097ee5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 楊瓊瓔
委員發言時間 13:48:07 - 14:00:19
影片長度 732
會議時間 2024-12-16T09:00:00+08:00
會議名稱 立法院第11屆第2會期社會福利及衛生環境委員會第14次全體委員會議(事由:一、邀請衛生福利部部長列席報告業務概況,並備質詢。 二、邀請衛生福利部部長、考試院、行政院人事行政總處針對「所屬機關有關霸凌事件之調查檢討」進行專題報告,並備質詢。 【業務報告及專題報告綜合詢答】)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 5.31284375
transcript.pyannote[0].end 8.23221875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 9.83534375
transcript.pyannote[1].end 10.89846875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 16.65284375
transcript.pyannote[2].end 17.26034375
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 17.17596875
transcript.pyannote[3].end 21.59721875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 19.03221875
transcript.pyannote[4].end 19.48784375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 21.88409375
transcript.pyannote[5].end 23.14971875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 23.23409375
transcript.pyannote[6].end 25.30971875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 23.50409375
transcript.pyannote[7].end 23.85846875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 25.81596875
transcript.pyannote[8].end 26.38971875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 26.55846875
transcript.pyannote[9].end 28.36409375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 29.39346875
transcript.pyannote[10].end 30.67596875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 30.94596875
transcript.pyannote[11].end 36.85221875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 37.40909375
transcript.pyannote[12].end 41.22284375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 41.59409375
transcript.pyannote[13].end 43.19721875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 43.65284375
transcript.pyannote[14].end 44.96909375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 45.15471875
transcript.pyannote[15].end 47.16284375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 47.50034375
transcript.pyannote[16].end 57.08534375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 57.42284375
transcript.pyannote[17].end 60.54471875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 60.89909375
transcript.pyannote[18].end 65.37096875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 66.18096875
transcript.pyannote[19].end 66.58596875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 66.73784375
transcript.pyannote[20].end 67.48034375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 66.75471875
transcript.pyannote[21].end 68.49284375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 69.01596875
transcript.pyannote[22].end 69.69096875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 69.99471875
transcript.pyannote[23].end 73.82534375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 70.23096875
transcript.pyannote[24].end 71.26034375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 73.25159375
transcript.pyannote[25].end 76.47471875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 76.66034375
transcript.pyannote[26].end 81.60471875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 82.22909375
transcript.pyannote[27].end 88.00034375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 88.20284375
transcript.pyannote[28].end 90.36284375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 88.75971875
transcript.pyannote[29].end 89.14784375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 90.02534375
transcript.pyannote[30].end 92.52284375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 92.28659375
transcript.pyannote[31].end 93.33284375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 93.33284375
transcript.pyannote[32].end 95.77971875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 94.66596875
transcript.pyannote[33].end 95.12159375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 96.11721875
transcript.pyannote[34].end 98.91846875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 96.21846875
transcript.pyannote[35].end 96.58971875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 97.92284375
transcript.pyannote[36].end 103.33971875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 102.46221875
transcript.pyannote[37].end 113.51534375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 106.61346875
transcript.pyannote[38].end 107.15346875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 111.62534375
transcript.pyannote[39].end 114.42659375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 113.95409375
transcript.pyannote[40].end 121.44659375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 116.18159375
transcript.pyannote[41].end 122.49284375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 122.81346875
transcript.pyannote[42].end 124.39971875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 123.60659375
transcript.pyannote[43].end 125.56409375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 124.99034375
transcript.pyannote[44].end 127.70721875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 126.89721875
transcript.pyannote[45].end 140.09346875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 129.56346875
transcript.pyannote[46].end 133.10721875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 133.90034375
transcript.pyannote[47].end 135.30096875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 141.30846875
transcript.pyannote[48].end 142.96221875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 142.96221875
transcript.pyannote[49].end 143.24909375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 143.24909375
transcript.pyannote[50].end 143.51909375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 143.51909375
transcript.pyannote[51].end 149.03721875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 143.55284375
transcript.pyannote[52].end 147.92346875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 149.86409375
transcript.pyannote[53].end 150.08346875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 150.33659375
transcript.pyannote[54].end 150.52221875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 151.18034375
transcript.pyannote[55].end 163.44846875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 163.44846875
transcript.pyannote[56].end 168.61221875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 167.56596875
transcript.pyannote[57].end 167.58284375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 167.63346875
transcript.pyannote[58].end 167.92034375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 167.93721875
transcript.pyannote[59].end 168.08909375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 168.12284375
transcript.pyannote[60].end 168.13971875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 168.20721875
transcript.pyannote[61].end 168.29159375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 169.23659375
transcript.pyannote[62].end 169.38846875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 169.38846875
transcript.pyannote[63].end 172.29096875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 169.40534375
transcript.pyannote[64].end 169.69221875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 169.87784375
transcript.pyannote[65].end 177.35346875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 173.13471875
transcript.pyannote[66].end 173.37096875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 177.08346875
transcript.pyannote[67].end 189.57096875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 180.18846875
transcript.pyannote[68].end 181.08284375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 189.72284375
transcript.pyannote[69].end 194.86971875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 190.11096875
transcript.pyannote[70].end 190.78596875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 195.69659375
transcript.pyannote[71].end 199.10534375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 199.54409375
transcript.pyannote[72].end 202.12596875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 202.46346875
transcript.pyannote[73].end 203.98221875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 204.60659375
transcript.pyannote[74].end 206.37846875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 207.28971875
transcript.pyannote[75].end 210.27659375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 211.08659375
transcript.pyannote[76].end 212.95971875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 213.24659375
transcript.pyannote[77].end 214.51221875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 215.84534375
transcript.pyannote[78].end 218.91659375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 219.49034375
transcript.pyannote[79].end 222.57846875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 223.48971875
transcript.pyannote[80].end 225.32909375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 225.64971875
transcript.pyannote[81].end 228.75471875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 229.93596875
transcript.pyannote[82].end 233.63159375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 234.25596875
transcript.pyannote[83].end 237.25971875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 237.47909375
transcript.pyannote[84].end 240.80346875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 241.69784375
transcript.pyannote[85].end 242.74409375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 242.84534375
transcript.pyannote[86].end 258.97784375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 256.04159375
transcript.pyannote[87].end 256.78409375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 257.57721875
transcript.pyannote[88].end 261.69471875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 259.56846875
transcript.pyannote[89].end 265.59284375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 264.44534375
transcript.pyannote[90].end 265.69409375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 265.91346875
transcript.pyannote[91].end 267.88784375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 267.01034375
transcript.pyannote[92].end 271.29659375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 269.62596875
transcript.pyannote[93].end 270.40221875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 271.17846875
transcript.pyannote[94].end 271.93784375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 271.93784375
transcript.pyannote[95].end 272.19096875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 274.01346875
transcript.pyannote[96].end 276.51096875
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 276.83159375
transcript.pyannote[97].end 278.11409375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 278.90721875
transcript.pyannote[98].end 280.74659375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 281.48909375
transcript.pyannote[99].end 283.29471875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 283.95284375
transcript.pyannote[100].end 285.21846875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 285.80909375
transcript.pyannote[101].end 288.25596875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 288.86346875
transcript.pyannote[102].end 291.56346875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 292.45784375
transcript.pyannote[103].end 293.47034375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 294.58409375
transcript.pyannote[104].end 296.33909375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 296.76096875
transcript.pyannote[105].end 298.09409375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 298.44846875
transcript.pyannote[106].end 299.59596875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 299.68034375
transcript.pyannote[107].end 300.23721875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 300.62534375
transcript.pyannote[108].end 301.92471875
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 302.12721875
transcript.pyannote[109].end 302.61659375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 303.78096875
transcript.pyannote[110].end 305.19846875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 305.78909375
transcript.pyannote[111].end 308.05034375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 308.30346875
transcript.pyannote[112].end 310.02471875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 310.64909375
transcript.pyannote[113].end 311.10471875
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 311.62784375
transcript.pyannote[114].end 312.58971875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 313.06221875
transcript.pyannote[115].end 314.09159375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 314.31096875
transcript.pyannote[116].end 315.49221875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 315.81284375
transcript.pyannote[117].end 317.53409375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 318.27659375
transcript.pyannote[118].end 318.93471875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 320.41971875
transcript.pyannote[119].end 324.31784375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 324.50346875
transcript.pyannote[120].end 325.56659375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 325.92096875
transcript.pyannote[121].end 340.12971875
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 340.06221875
transcript.pyannote[122].end 342.39096875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 340.34909375
transcript.pyannote[123].end 345.98534375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 345.68159375
transcript.pyannote[124].end 347.13284375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 347.87534375
transcript.pyannote[125].end 353.08971875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 348.46596875
transcript.pyannote[126].end 350.59221875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 353.32596875
transcript.pyannote[127].end 354.70971875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 355.55346875
transcript.pyannote[128].end 360.95346875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 359.56971875
transcript.pyannote[129].end 361.84784375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 361.94909375
transcript.pyannote[130].end 365.10471875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 365.39159375
transcript.pyannote[131].end 366.94409375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 367.16346875
transcript.pyannote[132].end 368.81721875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 367.36596875
transcript.pyannote[133].end 386.46846875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 374.99346875
transcript.pyannote[134].end 375.83721875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 377.06909375
transcript.pyannote[135].end 381.62534375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 387.14346875
transcript.pyannote[136].end 388.54409375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 388.91534375
transcript.pyannote[137].end 391.12596875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 391.88534375
transcript.pyannote[138].end 393.43784375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 394.16346875
transcript.pyannote[139].end 396.42471875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 396.76221875
transcript.pyannote[140].end 397.45409375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 397.92659375
transcript.pyannote[141].end 398.77034375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 399.24284375
transcript.pyannote[142].end 399.95159375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 400.12034375
transcript.pyannote[143].end 400.66034375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 400.93034375
transcript.pyannote[144].end 404.94659375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 405.57096875
transcript.pyannote[145].end 406.29659375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 406.29659375
transcript.pyannote[146].end 407.81534375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 406.56659375
transcript.pyannote[147].end 408.97971875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 408.97971875
transcript.pyannote[148].end 410.48159375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 408.99659375
transcript.pyannote[149].end 409.70534375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 410.11034375
transcript.pyannote[150].end 414.07596875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 414.32909375
transcript.pyannote[151].end 418.02471875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 416.65784375
transcript.pyannote[152].end 424.26846875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 418.86846875
transcript.pyannote[153].end 419.72909375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 424.62284375
transcript.pyannote[154].end 428.30159375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 428.31846875
transcript.pyannote[155].end 430.00596875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 429.83721875
transcript.pyannote[156].end 429.95534375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 430.00596875
transcript.pyannote[157].end 434.17409375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 430.30971875
transcript.pyannote[158].end 430.83284375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 431.71034375
transcript.pyannote[159].end 431.74409375
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 434.27534375
transcript.pyannote[160].end 434.73096875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 435.13596875
transcript.pyannote[161].end 437.76846875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 438.98346875
transcript.pyannote[162].end 441.76784375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 439.38846875
transcript.pyannote[163].end 439.87784375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 442.71284375
transcript.pyannote[164].end 443.79284375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 444.04596875
transcript.pyannote[165].end 444.45096875
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 445.05846875
transcript.pyannote[166].end 446.18909375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 446.47596875
transcript.pyannote[167].end 447.92721875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 447.92721875
transcript.pyannote[168].end 448.92284375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 449.56409375
transcript.pyannote[169].end 451.65659375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 451.58909375
transcript.pyannote[170].end 456.83721875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 452.19659375
transcript.pyannote[171].end 455.13284375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 456.33096875
transcript.pyannote[172].end 460.24596875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 457.37721875
transcript.pyannote[173].end 458.76096875
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 460.65096875
transcript.pyannote[174].end 464.02596875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 461.84909375
transcript.pyannote[175].end 462.16971875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 464.39721875
transcript.pyannote[176].end 467.82284375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 465.30846875
transcript.pyannote[177].end 472.21034375
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 473.20596875
transcript.pyannote[178].end 478.55534375
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 479.17971875
transcript.pyannote[179].end 479.97284375
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 480.46221875
transcript.pyannote[180].end 481.49159375
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 482.11596875
transcript.pyannote[181].end 483.65159375
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 484.27596875
transcript.pyannote[182].end 488.24159375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 488.47784375
transcript.pyannote[183].end 500.15534375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 498.56909375
transcript.pyannote[184].end 498.87284375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 500.15534375
transcript.pyannote[185].end 500.72909375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 500.72909375
transcript.pyannote[186].end 503.96909375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 500.74596875
transcript.pyannote[187].end 509.21721875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 509.21721875
transcript.pyannote[188].end 515.34284375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 510.34784375
transcript.pyannote[189].end 511.49534375
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 515.68034375
transcript.pyannote[190].end 526.31159375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 523.52721875
transcript.pyannote[191].end 525.23159375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 526.31159375
transcript.pyannote[192].end 527.32409375
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 527.13846875
transcript.pyannote[193].end 532.52159375
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 531.98159375
transcript.pyannote[194].end 532.50471875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 532.52159375
transcript.pyannote[195].end 532.89284375
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 532.89284375
transcript.pyannote[196].end 537.38159375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 532.90971875
transcript.pyannote[197].end 535.15409375
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 538.15784375
transcript.pyannote[198].end 544.09784375
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 544.26659375
transcript.pyannote[199].end 555.23534375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 552.85596875
transcript.pyannote[200].end 556.34909375
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 556.73721875
transcript.pyannote[201].end 560.61846875
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 560.61846875
transcript.pyannote[202].end 562.49159375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 561.56346875
transcript.pyannote[203].end 564.44909375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 564.87096875
transcript.pyannote[204].end 566.25471875
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 567.85784375
transcript.pyannote[205].end 574.94534375
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 568.54971875
transcript.pyannote[206].end 573.00471875
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 574.96221875
transcript.pyannote[207].end 576.63284375
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 576.22784375
transcript.pyannote[208].end 583.92284375
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 584.74971875
transcript.pyannote[209].end 588.93471875
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 584.88471875
transcript.pyannote[210].end 585.34034375
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 586.23471875
transcript.pyannote[211].end 588.24284375
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 589.82909375
transcript.pyannote[212].end 591.44909375
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 590.25096875
transcript.pyannote[213].end 595.46534375
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 593.44034375
transcript.pyannote[214].end 594.14909375
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 595.06034375
transcript.pyannote[215].end 609.16784375
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 596.83221875
transcript.pyannote[216].end 597.33846875
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 606.80534375
transcript.pyannote[217].end 612.15471875
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 610.43346875
transcript.pyannote[218].end 617.21721875
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 617.58846875
transcript.pyannote[219].end 620.71034375
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 618.14534375
transcript.pyannote[220].end 618.66846875
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 619.51221875
transcript.pyannote[221].end 621.92534375
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 621.18284375
transcript.pyannote[222].end 627.35909375
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 624.22034375
transcript.pyannote[223].end 625.26659375
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 627.51096875
transcript.pyannote[224].end 629.43471875
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 629.80596875
transcript.pyannote[225].end 631.76346875
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 633.45096875
transcript.pyannote[226].end 634.42971875
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 635.32409375
transcript.pyannote[227].end 636.23534375
transcript.pyannote[228].speaker SPEAKER_00
transcript.pyannote[228].start 636.50534375
transcript.pyannote[228].end 637.16346875
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 637.18034375
transcript.pyannote[229].end 637.19721875
transcript.pyannote[230].speaker SPEAKER_02
transcript.pyannote[230].start 637.19721875
transcript.pyannote[230].end 641.51721875
transcript.pyannote[231].speaker SPEAKER_02
transcript.pyannote[231].start 642.22596875
transcript.pyannote[231].end 644.55471875
transcript.pyannote[232].speaker SPEAKER_02
transcript.pyannote[232].start 645.38159375
transcript.pyannote[232].end 649.11096875
transcript.pyannote[233].speaker SPEAKER_02
transcript.pyannote[233].start 650.15721875
transcript.pyannote[233].end 651.47346875
transcript.pyannote[234].speaker SPEAKER_02
transcript.pyannote[234].start 651.69284375
transcript.pyannote[234].end 652.40159375
transcript.pyannote[235].speaker SPEAKER_02
transcript.pyannote[235].start 653.16096875
transcript.pyannote[235].end 665.85096875
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 666.74534375
transcript.pyannote[236].end 669.64784375
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 667.35284375
transcript.pyannote[237].end 667.99409375
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 669.56346875
transcript.pyannote[238].end 670.39034375
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 670.18784375
transcript.pyannote[239].end 676.36409375
transcript.pyannote[240].speaker SPEAKER_02
transcript.pyannote[240].start 677.00534375
transcript.pyannote[240].end 678.05159375
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 678.49034375
transcript.pyannote[241].end 680.29596875
transcript.pyannote[242].speaker SPEAKER_00
transcript.pyannote[242].start 680.59971875
transcript.pyannote[242].end 680.65034375
transcript.pyannote[243].speaker SPEAKER_00
transcript.pyannote[243].start 680.73471875
transcript.pyannote[243].end 680.85284375
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 680.85284375
transcript.pyannote[244].end 681.35909375
transcript.pyannote[245].speaker SPEAKER_00
transcript.pyannote[245].start 681.52784375
transcript.pyannote[245].end 682.42221875
transcript.pyannote[246].speaker SPEAKER_00
transcript.pyannote[246].start 683.13096875
transcript.pyannote[246].end 689.23971875
transcript.pyannote[247].speaker SPEAKER_02
transcript.pyannote[247].start 689.23971875
transcript.pyannote[247].end 689.39159375
transcript.pyannote[248].speaker SPEAKER_00
transcript.pyannote[248].start 689.45909375
transcript.pyannote[248].end 696.52971875
transcript.pyannote[249].speaker SPEAKER_02
transcript.pyannote[249].start 695.80409375
transcript.pyannote[249].end 705.05159375
transcript.pyannote[250].speaker SPEAKER_00
transcript.pyannote[250].start 697.03596875
transcript.pyannote[250].end 700.83284375
transcript.pyannote[251].speaker SPEAKER_00
transcript.pyannote[251].start 701.82846875
transcript.pyannote[251].end 702.28409375
transcript.pyannote[252].speaker SPEAKER_00
transcript.pyannote[252].start 703.73534375
transcript.pyannote[252].end 706.23284375
transcript.pyannote[253].speaker SPEAKER_02
transcript.pyannote[253].start 705.16971875
transcript.pyannote[253].end 716.07096875
transcript.pyannote[254].speaker SPEAKER_00
transcript.pyannote[254].start 710.70471875
transcript.pyannote[254].end 713.25284375
transcript.pyannote[255].speaker SPEAKER_00
transcript.pyannote[255].start 714.01221875
transcript.pyannote[255].end 716.12159375
transcript.pyannote[256].speaker SPEAKER_00
transcript.pyannote[256].start 716.25659375
transcript.pyannote[256].end 717.84284375
transcript.pyannote[257].speaker SPEAKER_02
transcript.pyannote[257].start 716.91471875
transcript.pyannote[257].end 720.10409375
transcript.pyannote[258].speaker SPEAKER_00
transcript.pyannote[258].start 720.03659375
transcript.pyannote[258].end 727.25909375
transcript.pyannote[259].speaker SPEAKER_00
transcript.pyannote[259].start 727.59659375
transcript.pyannote[259].end 728.33909375
transcript.pyannote[260].speaker SPEAKER_02
transcript.pyannote[260].start 728.44034375
transcript.pyannote[260].end 729.19971875
transcript.pyannote[261].speaker SPEAKER_00
transcript.pyannote[261].start 729.19971875
transcript.pyannote[261].end 729.79034375
transcript.whisperx[0].start 7.202
transcript.whisperx[0].end 10.803
transcript.whisperx[0].text 謝謝英明的召集人。我們請部長。部長,延續剛剛的議題,文化、健康、造福源跟儲供,其實這個你應該可以很放心的
transcript.whisperx[1].start 30.178
transcript.whisperx[1].end 46.579
transcript.whisperx[1].text 來答應因為尤其我們在城市中的城市還是有很多人需要照顧所以如果說依照這個比例3%這個在我們整個的通盤來講這個是完全必須的
transcript.whisperx[2].start 47.62
transcript.whisperx[2].end 65.142
transcript.whisperx[2].text 所以你剛才還是沒有辦法很直接的回答你所謂盡快盡快盡快那你總是要有一個day night時間點在哪裡讓人家有所準備跟依歸可就可不可就不可你會盡快盡快盡快快快快快快到什麼時候
transcript.whisperx[3].start 67.745
transcript.whisperx[3].end 73.23
transcript.whisperx[3].text 好。我想...最重要的考慮點是怎麼樣?我想一定有...
transcript.whisperx[4].start 82.299
transcript.whisperx[4].end 95.107
transcript.whisperx[4].text 或不加加加幾趴沒有這樣子只告訴我們充分的給你們研議那什麼時候可以告訴人家嗎現在是12月底中啊對啊現在已經12月中了嘛對啊12月底好了市長在對不對你要告訴人家嘛這樣大概這樣子沒有答案不行啊
transcript.whisperx[5].start 102.512
transcript.whisperx[5].end 103.632
transcript.whisperx[5].text 多久時間?請告訴我們時間。剛剛部長說要回答12月底。沒關係,請你告訴我們時間。一個快快快一個趕快,你加一個趕。
transcript.whisperx[6].start 123.519
transcript.whisperx[6].end 135.664
transcript.whisperx[6].text 那到底你告訴我們時間沒關係你告訴我時間這個真的是牽一髮動全身喔牽一髮動全身你告訴我時間啦沒關係啦謹慎來衡量啦謹慎來衡量我請問我們什麼時候可以得到答案報告委員我們會謹慎來衡量啊本來是快快快趕快現在謹慎很大沒關係你應該要有來部長你請回答部長
transcript.whisperx[7].start 151.26
transcript.whisperx[7].end 173.981
transcript.whisperx[7].text 我們大家理性討論但是你還要一個時間因為一再講再講完全沒有一個時間點我們如果只要求時間點都要求都聽不到那我們接下來怎麼咨詢沒關係我們那個可以或不可以啊不可以是這個原因對啊對啊你有當過民意代表你就知道背景的處處我想我們在12月底來
transcript.whisperx[8].start 174.602
transcript.whisperx[8].end 175.603
transcript.whisperx[8].text 接下來部長我要跟你討論霸凌的事情事主袁紹
transcript.whisperx[9].start 195.768
transcript.whisperx[9].end 214.484
transcript.whisperx[9].text 那你這次的調查報告呢就好像繼續放火你的八件裡頭只有三件成立而且都是非主管的在處分那麼司長級的都輕輕放過在這樣的一個情況之下本席要請教是不是在重點霸凌這個霸凌文化基層的公務人員要繼續來煎熬
transcript.whisperx[10].start 223.55
transcript.whisperx[10].end 228.775
transcript.whisperx[10].text 我相信你絕對沒有那個心所以本席要求你公佈調查報告因為不斷的資訊在你的報告當中根本是沒有的所以你要重啟調查一一來說明否則我看社會大眾跟國會都沒有辦法接受欸
transcript.whisperx[11].start 241.738
transcript.whisperx[11].end 244.68
transcript.whisperx[11].text 部長您的看法呢?本期贊同!贊同這個方向!你們剛剛有做決議!那本期要了解!
transcript.whisperx[12].start 265.996
transcript.whisperx[12].end 267.199
transcript.whisperx[12].text 那我就到委員報告室報告我們一定要好好的保護需要被保護的人嘛當然當然部長
transcript.whisperx[13].start 274.879
transcript.whisperx[13].end 301.251
transcript.whisperx[13].text 這個錄音帶都已經被揭露了我相信你聽過了你們必須要先自殺你等人家來他殺你要先自殺一定要先表示你的誠意還有一個要自殺還要先表示誠意的這些調查的結果是說什麼不當的比喻傷不勾成霸凌這種話都講得出來部長
transcript.whisperx[14].start 303.823
transcript.whisperx[14].end 303.963
transcript.whisperx[14].text 請做說明。
transcript.whisperx[15].start 320.458
transcript.whisperx[15].end 346.548
transcript.whisperx[15].text 嗯,我想這個用詞是的確非常不適當那但是據我據了解齁那個當時是在講一個案件如果你不好好的自己意思說自己把它弄好你就是等別人來去報告的時候會被別人來修理嘛所以它的用詞是比較極端你認為是極端的用詞但是絕對怎麼不可長官不可能叫人家去自殺他殺這件事情所以你的錄音帶
transcript.whisperx[16].start 347.948
transcript.whisperx[16].end 352.692
transcript.whisperx[16].text 他的影音呈現是如此叫人家自殺還要先表示誠意這是哪門子的說法
transcript.whisperx[17].start 357.139
transcript.whisperx[17].end 378.13
transcript.whisperx[17].text 所以資訊越來越多,部長,資訊越來越多,你應該要把這個調查,好好的調查清楚。本期剛剛在聽到你的答詢當中,你站起來說,在處理臨時提案的時候,你站起來說,該調查的都要調查,要調查的水落石出,這是你說的嘛,對不對?
transcript.whisperx[18].start 379.951
transcript.whisperx[18].end 404.601
transcript.whisperx[18].text 一定要好好查清楚,勿縱勿枉一定要查清楚接下來本席要跟你討論你們的報告內容說這個霸凌申訴人必須要具名以言辭或書面提出行政院的霸凌平台也是這麼說也要具名所以本席要說要具名第一個要麼表示我們的行政能力盲目無能
transcript.whisperx[19].start 405.595
transcript.whisperx[19].end 405.635
transcript.whisperx[19].text 發言委員:楊瓊瓔
transcript.whisperx[20].start 428.359
transcript.whisperx[20].end 436.908
transcript.whisperx[20].text 也要調查嗎?所以不需要具名嗎?是不是?對啊,我們這8案應該大部分都沒有具名請問,你們不需要具名嗎?是不是?不需要具名的我們現在也都納入調查所以也是要具名?不用啊到底要不要具名?匿名的我們也調查那要不要具名?
transcript.whisperx[21].start 449.625
transcript.whisperx[21].end 450.105
transcript.whisperx[21].text 所以本席要告訴你
transcript.whisperx[22].start 473.497
transcript.whisperx[22].end 487.838
transcript.whisperx[22].text 這一次霸凌案之所以能夠在網路上面廣泛的討論就是因為他有匿名性才能夠被廣泛的討論那媒體跟調查單位他可以有線索去查
transcript.whisperx[23].start 488.659
transcript.whisperx[23].end 508.726
transcript.whisperx[23].text 甚至也有人發文啊他也有人發文說明確的說他在公務體系但是如果讓我具名我根本不敢出面舉證或者陳情對不對你也知道嘛你當上民意代表你也知道啊行政院也有說只要有媒體有報導或者信息相關信息我們都是要查要處理的
transcript.whisperx[24].start 509.286
transcript.whisperx[24].end 526.017
transcript.whisperx[24].text 所以我們一個答案現在行政院的霸凌平台是要拒名我也告訴他們你們要改第二個我們現在可以確認你為何不雖然說希望拒名但是不拒名的、匿名的你們也會有舉證的對當然就是說你們這樣子的情況也要調查對不對這個要理清楚喔那你要去思考
transcript.whisperx[25].start 538.204
transcript.whisperx[25].end 565.899
transcript.whisperx[25].text 到現在你婉轉的說如果是沒有匿名的但是有實際這個實際狀況者可尋者那你們都會調查那你要去考慮也要告訴行政院我衛福部都可以這麼做了幹嘛你行政院也要匿名啊行政院長有這樣指示啊行政院長有這樣指示可是他的霸凌平台是要具名那你要告訴他那個霸凌平台的具名要拿掉你跟他很好你告訴他
transcript.whisperx[26].start 567.881
transcript.whisperx[26].end 588.612
transcript.whisperx[26].text 我想這個...對不對?因為講的跟做的文字是一樣啊!有是依法辦理以外我們會強化它的一個...那你要告訴行政院長啊,你跟他很好我知道你要告訴他,我們都可以匿名都可以接受,如果有實證都可以接受你要告訴他,我們行政院做的一套跟你做的又不一樣啊!
transcript.whisperx[27].start 589.861
transcript.whisperx[27].end 597.868
transcript.whisperx[27].text 但是我們現部衛福部是只要有施政的有施政不需要具名就可以查我們確認這一點非常好因為我也可以理解公務單位是怕說爛樹爛茶打擊到無辜這個本性也可以了解但是我們有政府的目的不就是為了可以查明真相嗎 對不對
transcript.whisperx[28].start 618.126
transcript.whisperx[28].end 631.722
transcript.whisperx[28].text 所以在這種情況之下需要被保護的人對那需要被保護的人一定要保護他們對不對這一定要的所以我本期要在這裡跟你說明現在你們認為要不要去修法要不要去修法
transcript.whisperx[29].start 635.373
transcript.whisperx[29].end 641.584
transcript.whisperx[29].text 要不要去修法因為目前霸凌的這個案子還沒有很明確的法所以經過了這麼痛苦的個案經過了這麼痛苦的個案我們應該可以專案去研擬
transcript.whisperx[30].start 650.519
transcript.whisperx[30].end 665.719
transcript.whisperx[30].text 去組一個team去研擬到底這個認定是怎麼樣認定本市也不希望社會大眾一直質疑我們政府本市更不希望我們所有的公務人員有被霸凌而無處沒有申訴的管道
transcript.whisperx[31].start 666.872
transcript.whisperx[31].end 681.105
transcript.whisperx[31].text 對不對?你一直點頭你絕對認同本席的說法。當然當然。 對不對?所以呢本席也希望也就是在這樣的一個情況之下我們是不是應該要應該要去來做修訂法律。請教。剛剛為
transcript.whisperx[32].start 683.812
transcript.whisperx[32].end 699.547
transcript.whisperx[32].text 對,剛剛委員所提的這樣的一個我們經過了經歷了這樣的慘痛的教訓對啊我們總要讓職場更好跟社會更好這個是我們會在權者方面來跟權者的機關你是組一個team嗎好好的去演繹讓大家可以放心來討論嘛也就是修訂那個法律可以讓所有的工作
transcript.whisperx[33].start 706.294
transcript.whisperx[33].end 727.067
transcript.whisperx[33].text 有權者,所以讓大家都能夠,讓工作者大家都能夠放心啊。謝謝,這是我們一起努力的目標。最少他是一個合組作用嘛,對不對?一定要往這個方向改善。好,所以就組一個team好好的去研擬,好不好?好,我們本身也會來衛福部那一面也會來精進。對。也會跟各個牽扯單位大家來互相研議。好,謝謝。好,謝謝。
IVOD_ID 158181
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/158181
日期 2024-12-16
會議資料.會議代碼 委員會-11-2-26-14
會議資料.屆 11
會議資料.會期 2
會議資料.會次 14
會議資料.種類 委員會
會議資料.委員會代碼[0] 26
會議資料.標題 第11屆第2會期社會福利及衛生環境委員會第14次全體委員會議
影片種類 Clip
開始時間 2024-12-16T13:48:07+08:00
結束時間 2024-12-16T14:00:19+08:00
支援功能[0] ai-transcript