iVOD / 168153

Field Value
IVOD_ID 168153
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168153
日期 2026-04-01
會議資料.會議代碼 委員會-11-5-26-4
會議資料.會議代碼:str 第11屆第5會期社會福利及衛生環境委員會第4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 4
會議資料.種類 委員會
會議資料.委員會代碼[0] 26
會議資料.委員會代碼:str[0] 社會福利及衛生環境委員會
會議資料.標題 第11屆第5會期社會福利及衛生環境委員會第4次全體委員會議
影片種類 Clip
開始時間 2026-04-01T12:07:43+08:00
結束時間 2026-04-01T12:22:56+08:00
影片長度 00:15:13
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6ae3a98a11df106cbec18e1d7376a5257570c8d4d2e9dc78994a069f48f295f3498159baeeef385c5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 涂權吉
委員發言時間 12:07:43 - 12:22:56
會議時間 2026-04-01T09:00:00+08:00
會議名稱 立法院第11屆第5會期社會福利及衛生環境委員會第4次全體委員會議(事由:邀請勞動部部長、衛生福利部、原住民族委員會就「穩定原住民族就業、改善低薪與勞動權益保障,並縮小職業災害發生率及死亡率差距之執行現況與精進作為」進行專題報告,並備質詢。 邀請勞動部、衛生福利部就「開放家有十二歲以下子女家庭逕行申請外籍家事移工政策,對本國勞工就業、照顧體系負擔、兒童最佳利益及相關權益保障之衝擊評估與制度配套」進行專題報告,並備質詢。 邀請勞動部、衛生福利部、行政院、行政院人事行政總處、銓敘部、公務人員保障暨培訓委員會、法務部,就「職場霸凌申訴機制之檢討:以顏慧欣案為例,如何建構員工心理健康與職場保障機制」進行專題報告,並備質詢。 【專題報告綜合詢答】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 1.06034375
transcript.pyannote[0].end 3.59159375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 3.96284375
transcript.pyannote[1].end 6.52784375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 6.83159375
transcript.pyannote[2].end 8.90721875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 19.85909375
transcript.pyannote[3].end 20.39909375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 21.02346875
transcript.pyannote[4].end 23.68971875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 23.90909375
transcript.pyannote[5].end 28.88721875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 30.70971875
transcript.pyannote[6].end 36.83534375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 37.86471875
transcript.pyannote[7].end 39.97409375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 39.97409375
transcript.pyannote[8].end 60.91596875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 61.30409375
transcript.pyannote[9].end 71.49659375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 61.50659375
transcript.pyannote[10].end 61.60784375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 62.29971875
transcript.pyannote[11].end 62.35034375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 71.73284375
transcript.pyannote[12].end 73.50471875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 73.84221875
transcript.pyannote[13].end 75.71534375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 76.05284375
transcript.pyannote[14].end 78.38159375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 78.53346875
transcript.pyannote[15].end 78.98909375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 79.09034375
transcript.pyannote[16].end 80.00159375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 80.32221875
transcript.pyannote[17].end 81.19971875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 81.79034375
transcript.pyannote[18].end 83.69721875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 84.18659375
transcript.pyannote[19].end 84.55784375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 85.11471875
transcript.pyannote[20].end 87.56159375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 88.91159375
transcript.pyannote[21].end 93.38346875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 93.55221875
transcript.pyannote[22].end 94.41284375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 94.66596875
transcript.pyannote[23].end 95.17221875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 95.72909375
transcript.pyannote[24].end 96.60659375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 96.92721875
transcript.pyannote[25].end 97.68659375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 98.37846875
transcript.pyannote[26].end 101.53409375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 102.36096875
transcript.pyannote[27].end 102.93471875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 103.20471875
transcript.pyannote[28].end 103.69409375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 103.98096875
transcript.pyannote[29].end 105.49971875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 106.49534375
transcript.pyannote[30].end 119.35409375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 120.36659375
transcript.pyannote[31].end 122.03721875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 122.03721875
transcript.pyannote[32].end 126.49221875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 127.84221875
transcript.pyannote[33].end 143.01284375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 142.94534375
transcript.pyannote[34].end 143.02971875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 143.02971875
transcript.pyannote[35].end 154.96034375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 143.11409375
transcript.pyannote[36].end 143.13096875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 155.19659375
transcript.pyannote[37].end 155.23034375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 155.26409375
transcript.pyannote[38].end 159.06096875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 159.41534375
transcript.pyannote[39].end 159.83721875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 160.52909375
transcript.pyannote[40].end 161.71034375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 162.33471875
transcript.pyannote[41].end 163.76909375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 163.98846875
transcript.pyannote[42].end 168.81471875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 171.10971875
transcript.pyannote[43].end 171.29534375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 171.29534375
transcript.pyannote[44].end 171.32909375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 171.32909375
transcript.pyannote[45].end 171.41346875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 171.41346875
transcript.pyannote[46].end 172.72971875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 172.72971875
transcript.pyannote[47].end 172.81409375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 172.81409375
transcript.pyannote[48].end 173.20221875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 173.20221875
transcript.pyannote[49].end 176.99909375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 176.00346875
transcript.pyannote[50].end 177.21846875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 177.69096875
transcript.pyannote[51].end 180.89721875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 182.04471875
transcript.pyannote[52].end 187.39409375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 187.71471875
transcript.pyannote[53].end 197.08034375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 197.77221875
transcript.pyannote[54].end 202.22721875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 202.56471875
transcript.pyannote[55].end 203.35784375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 204.01596875
transcript.pyannote[56].end 205.97346875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 205.97346875
transcript.pyannote[57].end 215.03534375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 215.03534375
transcript.pyannote[58].end 219.43971875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 220.08096875
transcript.pyannote[59].end 237.54659375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 233.05784375
transcript.pyannote[60].end 233.29409375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 238.32284375
transcript.pyannote[61].end 239.79096875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 240.41534375
transcript.pyannote[62].end 242.72721875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 242.84534375
transcript.pyannote[63].end 243.53721875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 244.02659375
transcript.pyannote[64].end 245.47784375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 245.88284375
transcript.pyannote[65].end 249.12284375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 249.25784375
transcript.pyannote[66].end 250.13534375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 250.43909375
transcript.pyannote[67].end 255.68721875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 255.70409375
transcript.pyannote[68].end 282.77159375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 282.99096875
transcript.pyannote[69].end 296.03534375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 296.03534375
transcript.pyannote[70].end 299.02221875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 299.02221875
transcript.pyannote[71].end 299.32596875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 299.32596875
transcript.pyannote[72].end 306.32909375
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 305.08034375
transcript.pyannote[73].end 306.63284375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 306.98721875
transcript.pyannote[74].end 307.52721875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 307.89846875
transcript.pyannote[75].end 315.77909375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 315.96471875
transcript.pyannote[76].end 316.36971875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 316.79159375
transcript.pyannote[77].end 339.53909375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 340.01159375
transcript.pyannote[78].end 340.06221875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 340.06221875
transcript.pyannote[79].end 345.59721875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 345.59721875
transcript.pyannote[80].end 345.93471875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 345.93471875
transcript.pyannote[81].end 352.11096875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 352.58346875
transcript.pyannote[82].end 370.77471875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 371.36534375
transcript.pyannote[83].end 377.49096875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 378.58784375
transcript.pyannote[84].end 381.20346875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 381.70971875
transcript.pyannote[85].end 384.12284375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 384.86534375
transcript.pyannote[86].end 395.51346875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 386.50221875
transcript.pyannote[87].end 387.19409375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 395.81721875
transcript.pyannote[88].end 396.39096875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 397.26846875
transcript.pyannote[89].end 404.76096875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 405.14909375
transcript.pyannote[90].end 408.60846875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 409.03034375
transcript.pyannote[91].end 412.37159375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 413.36721875
transcript.pyannote[92].end 429.31409375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 429.78659375
transcript.pyannote[93].end 432.13221875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 430.19159375
transcript.pyannote[94].end 430.78221875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 432.13221875
transcript.pyannote[95].end 432.58784375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 432.38534375
transcript.pyannote[96].end 433.75221875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 434.08971875
transcript.pyannote[97].end 434.88284375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 435.64221875
transcript.pyannote[98].end 449.39534375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 449.71596875
transcript.pyannote[99].end 455.67284375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 455.90909375
transcript.pyannote[100].end 458.37284375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 458.82846875
transcript.pyannote[101].end 467.99159375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 468.71721875
transcript.pyannote[102].end 472.51409375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 473.61096875
transcript.pyannote[103].end 474.53909375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 475.48409375
transcript.pyannote[104].end 477.40784375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 478.13346875
transcript.pyannote[105].end 507.02346875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 507.02346875
transcript.pyannote[106].end 507.83346875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 507.83346875
transcript.pyannote[107].end 507.90096875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 508.23846875
transcript.pyannote[108].end 508.25534375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 508.25534375
transcript.pyannote[109].end 512.27159375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 510.01034375
transcript.pyannote[110].end 510.19596875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 513.52034375
transcript.pyannote[111].end 516.43971875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 516.03471875
transcript.pyannote[112].end 518.14409375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 517.62096875
transcript.pyannote[113].end 534.04034375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 534.25971875
transcript.pyannote[114].end 534.79971875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 535.22159375
transcript.pyannote[115].end 537.04409375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 537.82034375
transcript.pyannote[116].end 539.82846875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 540.70596875
transcript.pyannote[117].end 546.46034375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 546.79784375
transcript.pyannote[118].end 547.54034375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 547.59096875
transcript.pyannote[119].end 550.20659375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 550.62846875
transcript.pyannote[120].end 554.84721875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 555.25221875
transcript.pyannote[121].end 557.74971875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 557.90159375
transcript.pyannote[122].end 567.90846875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 568.46534375
transcript.pyannote[123].end 574.27034375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 574.60784375
transcript.pyannote[124].end 575.41784375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 575.87346875
transcript.pyannote[125].end 577.72971875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 578.05034375
transcript.pyannote[126].end 578.26971875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 579.18096875
transcript.pyannote[127].end 610.02846875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 610.02846875
transcript.pyannote[128].end 612.03659375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 612.67784375
transcript.pyannote[129].end 613.82534375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 615.31034375
transcript.pyannote[130].end 634.58159375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 634.98659375
transcript.pyannote[131].end 635.84721875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 636.25221875
transcript.pyannote[132].end 638.15909375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 638.78346875
transcript.pyannote[133].end 639.22221875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 639.69471875
transcript.pyannote[134].end 640.20096875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 640.63971875
transcript.pyannote[135].end 641.48346875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 641.90534375
transcript.pyannote[136].end 642.83346875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 643.10346875
transcript.pyannote[137].end 652.62096875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 652.68846875
transcript.pyannote[138].end 656.41784375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 657.07596875
transcript.pyannote[139].end 675.79034375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 676.04346875
transcript.pyannote[140].end 678.38909375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 678.69284375
transcript.pyannote[141].end 680.56596875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 681.13971875
transcript.pyannote[142].end 681.88221875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 682.30409375
transcript.pyannote[143].end 683.11409375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 683.35034375
transcript.pyannote[144].end 684.97034375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 685.45971875
transcript.pyannote[145].end 686.59034375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 689.22284375
transcript.pyannote[146].end 690.28596875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 690.55596875
transcript.pyannote[147].end 691.38284375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 693.07034375
transcript.pyannote[148].end 694.16721875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 694.55534375
transcript.pyannote[149].end 699.92159375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 700.78221875
transcript.pyannote[150].end 702.26721875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 703.11096875
transcript.pyannote[151].end 708.71346875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 709.65846875
transcript.pyannote[152].end 717.40409375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 717.72471875
transcript.pyannote[153].end 719.05784375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 719.44596875
transcript.pyannote[154].end 719.96909375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 720.30659375
transcript.pyannote[155].end 723.20909375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 723.25971875
transcript.pyannote[156].end 725.48721875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 725.84159375
transcript.pyannote[157].end 726.71909375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 727.52909375
transcript.pyannote[158].end 728.38971875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 728.91284375
transcript.pyannote[159].end 730.11096875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 730.93784375
transcript.pyannote[160].end 731.42721875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 731.86596875
transcript.pyannote[161].end 734.16096875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 734.53221875
transcript.pyannote[162].end 741.34971875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 741.97409375
transcript.pyannote[163].end 743.64471875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 743.79659375
transcript.pyannote[164].end 752.36909375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 752.79096875
transcript.pyannote[165].end 754.54596875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 754.96784375
transcript.pyannote[166].end 756.80721875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 757.17846875
transcript.pyannote[167].end 758.03909375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 759.37221875
transcript.pyannote[168].end 760.85721875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 761.71784375
transcript.pyannote[169].end 762.64596875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 762.84846875
transcript.pyannote[170].end 767.42159375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 768.07971875
transcript.pyannote[171].end 768.63659375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 768.97409375
transcript.pyannote[172].end 770.76284375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 770.94846875
transcript.pyannote[173].end 774.08721875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 774.77909375
transcript.pyannote[174].end 775.33596875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 775.87596875
transcript.pyannote[175].end 778.82909375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 779.53784375
transcript.pyannote[176].end 781.37721875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 781.66409375
transcript.pyannote[177].end 783.16596875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 783.46971875
transcript.pyannote[178].end 787.28346875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 787.78971875
transcript.pyannote[179].end 800.59784375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 801.35721875
transcript.pyannote[180].end 802.55534375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 802.69034375
transcript.pyannote[181].end 803.66909375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 805.99784375
transcript.pyannote[182].end 810.97596875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 811.26284375
transcript.pyannote[183].end 820.18971875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 821.10096875
transcript.pyannote[184].end 829.63971875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 825.13409375
transcript.pyannote[185].end 826.65284375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 829.53846875
transcript.pyannote[186].end 831.19221875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 831.12471875
transcript.pyannote[187].end 836.10284375
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 831.20909375
transcript.pyannote[188].end 832.12034375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 836.27159375
transcript.pyannote[189].end 844.11846875
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 844.43909375
transcript.pyannote[190].end 847.00409375
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 847.22346875
transcript.pyannote[191].end 848.55659375
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 849.09659375
transcript.pyannote[192].end 850.54784375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 851.07096875
transcript.pyannote[193].end 851.71221875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 852.38721875
transcript.pyannote[194].end 853.21409375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 853.53471875
transcript.pyannote[195].end 855.57659375
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 855.82971875
transcript.pyannote[196].end 858.73221875
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 858.93471875
transcript.pyannote[197].end 864.58784375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 865.04346875
transcript.pyannote[198].end 870.84846875
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 871.06784375
transcript.pyannote[199].end 878.54346875
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 879.15096875
transcript.pyannote[200].end 880.39971875
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 880.58534375
transcript.pyannote[201].end 886.03596875
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 886.37346875
transcript.pyannote[202].end 895.18221875
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 895.41846875
transcript.pyannote[203].end 896.12721875
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 897.59534375
transcript.pyannote[204].end 898.74284375
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 899.38409375
transcript.pyannote[205].end 901.79721875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 902.06721875
transcript.pyannote[206].end 902.82659375
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 903.31596875
transcript.pyannote[207].end 907.36596875
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 908.88471875
transcript.pyannote[208].end 909.59346875
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 909.76221875
transcript.pyannote[209].end 911.63534375
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 912.14159375
transcript.pyannote[210].end 913.76159375
transcript.whisperx[0].start 1.052
transcript.whisperx[0].end 28.102
transcript.whisperx[0].text 好謝謝主席那請我們保訓會蔡處長和行政院副秘書長請蔡處長及副秘書長我也好好我先請問一下處長那如果公務人員遭受霸凌我們通常是依據什麼法規來處理
transcript.whisperx[1].start 30.731
transcript.whisperx[1].end 36.601
transcript.whisperx[1].text 公務員報告是依照公務人員保障法以及公務人員執行職務安全及衛生防護辦法的規定
transcript.whisperx[2].start 38.833
transcript.whisperx[2].end 60.53
transcript.whisperx[2].text 那根據工人員執行職務安全及衛生防護辦法裡面他有一個各機關應組成安全及衛生防護委員會那就是我們講防護委員會他在處理職場霸凌的事件那通常他都上面有寫通常是由機關的副首長或者幕僚長來擔任召集人
transcript.whisperx[3].start 61.531
transcript.whisperx[3].end 86.869
transcript.whisperx[3].text 對嘛然後其中當然也會聘請我們相關的專家學者不能少於三分之一這是我們裡面的處理辦法的條例那像我們這一次爆發我們研會新副代表這個高階談判代表的事件那他上面就是我們的政務委員跟行政院那他的法規上所以看起來應該
transcript.whisperx[4].start 89.673
transcript.whisperx[4].end 105.062
transcript.whisperx[4].text 他的機關副首長應該就是我們的行政院副院長鄭麗君那他的幕僚長就是我們的經貿談判代表楊貞妮不是這樣是嗎如果照你規章的話
transcript.whisperx[5].start 106.53
transcript.whisperx[5].end 126.281
transcript.whisperx[5].text 跟委員報告那行政院本部目前也有設置防護委員會那我們總共有12位委員那裡面有5位是外聘的那我們的召集人是我們的幕僚長秘書長對但是我剛剛講的那兩位其實也是可以擔任只是你這次是因為迴避嘛
transcript.whisperx[6].start 127.898
transcript.whisperx[6].end 154.438
transcript.whisperx[6].text 所以請秘書長來擔任這次的召集人不是 我們那是常設的編組好 那重點是這次我們我看我們這次行政院昨天下午提的這份專案報告那召集人是我們行政院的秘書長行政院秘書長他提這個報告那針對這部分報告說是依據我們行政院院本部職場霸凌防制申訴及調查處理的要點
transcript.whisperx[7].start 155.379
transcript.whisperx[7].end 180.08
transcript.whisperx[7].text 那我想請問一下這個要點是什麼時候公布的去年年底那奇怪那這個為什麼這要點我們在網路上都查不到我們行政院本部有這個要點我們有做內部公告但是所以是有這個要點只是我們查不到所以我想了解說因為我們都查不到這個要點
transcript.whisperx[8].start 182.11
transcript.whisperx[8].end 196.858
transcript.whisperx[8].text 然後一般來講像我們很多像司法院環境部各單位都有公布這個要點而且他針對這個委員會的名單都有訂定都有公布反而我們行政院這邊我們是看不到的
transcript.whisperx[9].start 197.85
transcript.whisperx[9].end 213.06
transcript.whisperx[9].text 所以我在想說到底是不是有這個要點還是因為這次事情發生我們才去成立這個要點去做處理沒有 這個我們是根據保訓會的安慰辦法然後修我們自己的內規然後再重新設立
transcript.whisperx[10].start 214.241
transcript.whisperx[10].end 237.278
transcript.whisperx[10].text 好 那重點就是我們當然也看得到像我們成立這個調查小組如果當事人關係人雖然他有可能是我們機關副首長或者幕僚長但是如果跟他有相當的關係的話當事人當然是一定要迴避的嘛所以這次由秘書長擔任是沒有問題但是我們疑義的是
transcript.whisperx[11].start 238.396
transcript.whisperx[11].end 255.202
transcript.whisperx[11].text 其實秘書長來去做這個調查小組的召集人但是副院長跟幕僚長跟他的關係也是相當密切那會不會對於這個中立性或者政治力的介入我覺得大家是有疑義的
transcript.whisperx[12].start 256.042
transcript.whisperx[12].end 281.912
transcript.whisperx[12].text 跟委員報告這一次的調查小組的話我們四位都是外聘委員完全沒有我們內部的委員參與調查出來以後他會寫結案報告結案報告我們會送到防護委員會來開會原先防護委員會的召集人是我們的秘書長他因為也是我們對美貿易小組的成員所以他會自請迴避
transcript.whisperx[13].start 283.577
transcript.whisperx[13].end 305.173
transcript.whisperx[13].text 所以這份報告來提會討論的時候他會自請迴避自請迴避的時候我們委員之間會互為代理推舉一個主席來主持這個會議好12位裡面有4位是外聘的有5位是外聘的5位是外聘的就是外聘的專家學者那其他的部分是我們行政院內部的機關的人員那
transcript.whisperx[14].start 308.176
transcript.whisperx[14].end 314.954
transcript.whisperx[14].text 這一次的調查小組 那我請問一下這個外部的人員外部聘任是由誰去聘任 由誰來挑選
transcript.whisperx[15].start 316.857
transcript.whisperx[15].end 333.551
transcript.whisperx[15].text 外部聘任的話,因為這次保訓會是修改了規定以前我們就有性騷的成員,以前也有霸凌的小組這次我們是把他合併起來,我們就是用原來的委員來繼續留任
transcript.whisperx[16].start 340.077
transcript.whisperx[16].end 359.376
transcript.whisperx[16].text 因為我們 據我們了解啦其實這外聘委員還是由我們機關裡面去聘任的所以就算這12人裡面有7個是我們機關的成員另外5個雖然是外部聘任可是挑選聘任還是由我們機關的人員去聘任所以我們認為這個公正性
transcript.whisperx[17].start 361.037
transcript.whisperx[17].end 379.488
transcript.whisperx[17].text 其實有待考量啦那尤其像這次我們顏慧欣副代表的事件據我們了解其實她進去之後去年九月份就因為壓力很大就開始請病假就開始請病假之後2月19號請辭王一鳴委員質詢的時候院長也
transcript.whisperx[18].start 385.999
transcript.whisperx[18].end 411.897
transcript.whisperx[18].text 當場就有承認說2月19號池城裡面他已經知道他有陳情因為工作上的這些的問題所以2月19號也就池城提出來卓院長也知情這件事情也知悉了那到12月到3月12號那個顏慧欣副代表往生結果也沒有看到去調查這件事情那當然
transcript.whisperx[19].start 413.69
transcript.whisperx[19].end 431.006
transcript.whisperx[19].text 這個事情我們真正社會大眾知道是3月26號我們社群網站披露之後我剛剛也有聽我們副秘書長講因為社群網站在3月26號披露之後我們才正式成立調查小組去調查做處理沒有錯吧那所以
transcript.whisperx[20].start 435.717
transcript.whisperx[20].end 465
transcript.whisperx[20].text 我們今天要討論的就是我覺得我們這個機制上應該是有一些問題啦你這個霸凌申訴的管道你看12個成員裡面7個就是我們機關裡面的成員5個外聘也是由機關去挑釁那等於12個都是你們決定啊那試問顏惠心代表9月份因為壓力太大你看連這個高階代表都不敢申訴何況一般的公務人員
transcript.whisperx[21].start 465.8
transcript.whisperx[21].end 477.048
transcript.whisperx[21].text 而且到2月19號連卓院長之息辭呈的原因那我請問一下後來卓院長有交代處理嗎
transcript.whisperx[22].start 479.995
transcript.whisperx[22].end 503.531
transcript.whisperx[22].text 昨天昨院長回覆王委員說明的時候他是說他2月19號的時候有收到院長辦公室的幕僚轉來的訊息他知道有這件事情他也交代幕僚要下去關心除了關心以外也希望嚴副總談判代表他好好休養身體康復以後繼續來為國服務是給他慰留的
transcript.whisperx[23].start 508.334
transcript.whisperx[23].end 509.196
transcript.whisperx[23].text 我有聽副秘書長講啊所以其實你們都不知道這件事情所以
transcript.whisperx[24].start 513.901
transcript.whisperx[24].end 539.631
transcript.whisperx[24].text 講實在話就是沒有交辦去調查嘛對不對當時我們是真的沒有調查因為你剛剛我有聽嘛你回答其他委員說你們根本不知道這件事情是後來王育民委員提出質詢你們才知道喔原來2月19號院長就知道那知道之後你們不清楚就表示沒有交辦那結果我們原來調查小組的成立我們這些機制看起來都沒用
transcript.whisperx[25].start 540.745
transcript.whisperx[25].end 567.642
transcript.whisperx[25].text 而且連行政院長知道也沒處理真正調查小組成立的關鍵點在哪裡原來在社群網站披露之後我們調查小組才依輿論成立調查小組所以這個機制跟行政院長其實看起來都沒有處理這件事情難怪一般的公務人員認為這個申訴管道基本上是沒有效益的而且
transcript.whisperx[26].start 569.724
transcript.whisperx[26].end 576.994
transcript.whisperx[26].text 剛剛講12個委員7個是你機關的人另外5個還是機關指定你不覺得一般公務員敢申訴嗎
transcript.whisperx[27].start 579.426
transcript.whisperx[27].end 608.661
transcript.whisperx[27].text 跟國民報告 那我們近兩年來的時候呢我們確實也有一些霸凌的申訴案那我們也運作這個機制的時候呢齁那其實也是很順利的運作啦因為我們參加這個委員會的同仁的時候呢大家都有一個認知啦因為你處理事情一定要公正客觀然後呢 你對執行職務的部分的時候你要做保密的義務啦那基本上 我自己的觀察啦我們這一兩年來我們在運作上的時候我們都確保這兩個大前提
transcript.whisperx[28].start 609.221
transcript.whisperx[28].end 638.069
transcript.whisperx[28].text 不是啊你保密我們接受啊重點根本沒有辦啊我沒有叫你公開啊問題是確實你也承認從2月19號院長知道之後也沒有處理也沒有交辦所以我說這個事情你看從之前勞動部現一種職場霸凌的事件我們開始一直爆發我們整個行政體系職場霸凌的事情我說講啊人之將死其言也善啊
transcript.whisperx[29].start 639.758
transcript.whisperx[29].end 656.172
transcript.whisperx[29].text 連我們顏惠心都已經在加護病房病他上提出辭呈而且很明確講辭職的原因就是因為在職場上在行政院和工作上遭受到
transcript.whisperx[30].start 657.533
transcript.whisperx[30].end 686.32
transcript.whisperx[30].text 職場的霸凌已經講得很清楚了而且還是沒處理最後處理還是因為3月26號社群網站披露不用人交辦原來只要媒體披露自然調查小組就成立了所以這個申訴機制包含我們的行政院的最高行政首長也都沒處理試問我們民眾對政府公部門這個公信力怎麼會有信心
transcript.whisperx[31].start 689.315
transcript.whisperx[31].end 708.453
transcript.whisperx[31].text 所以我希望喔 保訓會啊保訓會針對剛剛本席提的這些問題啊我們講啊 我們沒有超前部署也沒有及時處理我們只好退而求其次啊拜託 亡羊補牢總可以吧
transcript.whisperx[32].start 709.747
transcript.whisperx[32].end 729.985
transcript.whisperx[32].text 希望後續針對我們剛剛講的這些文官體制這些後續研議它的方向跟你們要怎麼去做可不可以提出來怎麼去研議怎麼去改善我們這些申訴管道的機制你想想看12個委員7個內部聘的
transcript.whisperx[33].start 730.99
transcript.whisperx[33].end 757.817
transcript.whisperx[33].text 五個聽起來很好聽外部專家學者但是這都是你決定要用誰就用誰啊連陳情到行政院長也沒處理我們這個申訴管道基本上我覺得漏洞百出所以難怪職場霸凌的問題層出不窮保訓會是不是後面可以給我們提出一個書面演繹如何去改善這個方向要怎麼去做
transcript.whisperx[34].start 759.414
transcript.whisperx[34].end 787.075
transcript.whisperx[34].text 可以提出這書面報告嗎我希望這個事情我們一直講從去年勞動部發生到現在而且從勞動部發生之後我們才發現這個事情層出不窮而且每次都等到人往生之後才去檢討這件事情我說今天這個事情如果不是在3月26號社群網站披露
transcript.whisperx[35].start 787.836
transcript.whisperx[35].end 803.488
transcript.whisperx[35].text 我們怎麼知道原來2月19號他的辭呈早就像行政院長說的清清楚楚但是根本連辦都沒有辦連處理都沒有處理連行政院都不知道這件事情是不是保訊會後面亡羊補牢吧
transcript.whisperx[36].start 806.141
transcript.whisperx[36].end 818.198
transcript.whisperx[36].text 總委員報告一下就是行政院這個案子其實他是非因申訴而之襲那如果前面他收到包含像是社群媒體所接收到的資訊甚至是像行政院長收到的簡訊類似這一類的資訊
transcript.whisperx[37].start 821.381
transcript.whisperx[37].end 849.967
transcript.whisperx[37].text 對於機關來說他還是必須要進行一部分的去認定啦所以我剛剛有講啦之後才會進到防護委員會處長我剛剛有講啦所以我剛剛為什麼說外部委員的成員的性質應該是沒有什麼關係啊所以我剛剛有講啦你看我們根據公務人員執行職務安全及衛生防護辦法這個防護委員會他裡面他規章召集人是我們機關的副首長跟幕僚長
transcript.whisperx[38].start 851.127
transcript.whisperx[38].end 878.324
transcript.whisperx[38].text 可是很有可能這個召集人就是當裡面的關係人也有可能就是當事人再加上你另外就算聘的召集人也是他的下屬啊他怎麼去執行他是不是在調查過程中是不是還要回去請示他的長官可不可以這樣子調查然後12個委員會裡面7個都是你們自己人連另外唯一的5個還是由你們指定來聘任
transcript.whisperx[39].start 879.184
transcript.whisperx[39].end 907.046
transcript.whisperx[39].text 哪裡來的公信力難怪現在這個霸凌事件層出不窮每次爆發都是人往生之後再來檢討我說啊從去年前年等等發生了那麼多事情勞動部霸凌事件就說要深切的檢討到現在也沒超前部署也沒有及時處理又要亡羊補牢所以我覺得保訓會希望你真的提出一個研議的方向跟改善的辦法
transcript.whisperx[40].start 909.226
transcript.whisperx[40].end 912.436
transcript.whisperx[40].text 好謝謝好謝謝涂謙俊委員的發言待會兒陳穎委員質詢