iVOD / 168092

Field Value
IVOD_ID 168092
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168092
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 2026-04-01T10:16:26+08:00
結束時間 2026-04-01T10:28:22+08:00
影片長度 00:11:56
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6ae3a98a11df106c3cb874f729dd87ad7570c8d4d2e9dc784047e563c2ae160964a5fa53d23552a65ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 邱鎮軍
委員發言時間 10:16:26 - 10:28:22
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_02
transcript.pyannote[0].start 5.51534375
transcript.pyannote[0].end 6.49409375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 6.96659375
transcript.pyannote[1].end 8.77221875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 9.02534375
transcript.pyannote[2].end 10.17284375
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 22.69409375
transcript.pyannote[3].end 22.71096875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 22.71096875
transcript.pyannote[4].end 24.19596875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 24.70221875
transcript.pyannote[5].end 33.03846875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 33.17346875
transcript.pyannote[6].end 37.66221875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 37.74659375
transcript.pyannote[7].end 39.70409375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 40.10909375
transcript.pyannote[8].end 45.99846875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 46.33596875
transcript.pyannote[9].end 54.68909375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 54.97596875
transcript.pyannote[10].end 71.69909375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 72.17159375
transcript.pyannote[11].end 72.54284375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 73.30221875
transcript.pyannote[12].end 77.84159375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 78.21284375
transcript.pyannote[13].end 79.59659375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 80.11971875
transcript.pyannote[14].end 88.96221875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 89.68784375
transcript.pyannote[15].end 100.63971875
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 100.85909375
transcript.pyannote[16].end 104.06534375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 104.72346875
transcript.pyannote[17].end 114.64596875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 115.45596875
transcript.pyannote[18].end 121.22721875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 121.66596875
transcript.pyannote[19].end 145.22346875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 145.40909375
transcript.pyannote[20].end 157.96409375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 158.50409375
transcript.pyannote[21].end 160.37721875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 160.57971875
transcript.pyannote[22].end 171.37971875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 171.73409375
transcript.pyannote[23].end 183.05721875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 184.05284375
transcript.pyannote[24].end 192.77721875
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 193.57034375
transcript.pyannote[25].end 194.24534375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 197.94096875
transcript.pyannote[26].end 198.32909375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 198.95346875
transcript.pyannote[27].end 206.36159375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 201.78846875
transcript.pyannote[28].end 201.80534375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 201.80534375
transcript.pyannote[29].end 201.85596875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 206.90159375
transcript.pyannote[30].end 212.08221875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 212.75721875
transcript.pyannote[31].end 215.77784375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 216.13221875
transcript.pyannote[32].end 227.15159375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 226.84784375
transcript.pyannote[33].end 236.78721875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 228.34971875
transcript.pyannote[34].end 228.70409375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 232.19721875
transcript.pyannote[35].end 232.87221875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 235.36971875
transcript.pyannote[36].end 235.85909375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 236.77034375
transcript.pyannote[37].end 238.86284375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 237.76596875
transcript.pyannote[38].end 243.77346875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 244.09409375
transcript.pyannote[39].end 248.21159375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 248.83596875
transcript.pyannote[40].end 270.92534375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 253.59471875
transcript.pyannote[41].end 254.38784375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 254.96159375
transcript.pyannote[42].end 255.26534375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 263.92221875
transcript.pyannote[43].end 264.98534375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 271.34721875
transcript.pyannote[44].end 274.50284375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 275.00909375
transcript.pyannote[45].end 280.96596875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 280.96596875
transcript.pyannote[46].end 286.85534375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 281.59034375
transcript.pyannote[47].end 284.88096875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 286.83846875
transcript.pyannote[48].end 297.08159375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 295.52909375
transcript.pyannote[49].end 297.04784375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 297.08159375
transcript.pyannote[50].end 297.57096875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 297.57096875
transcript.pyannote[51].end 297.58784375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 297.58784375
transcript.pyannote[52].end 297.89159375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 297.89159375
transcript.pyannote[53].end 297.97596875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 297.97596875
transcript.pyannote[54].end 298.70159375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 300.67596875
transcript.pyannote[55].end 302.68409375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 304.43909375
transcript.pyannote[56].end 308.50596875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 305.65409375
transcript.pyannote[57].end 305.82284375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 305.83971875
transcript.pyannote[58].end 305.87346875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 307.93221875
transcript.pyannote[59].end 312.38721875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 309.02909375
transcript.pyannote[60].end 315.07034375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 315.20534375
transcript.pyannote[61].end 319.76159375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 318.95159375
transcript.pyannote[62].end 319.54221875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 319.86284375
transcript.pyannote[63].end 322.17471875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 320.14971875
transcript.pyannote[64].end 321.93846875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 322.17471875
transcript.pyannote[65].end 322.20846875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 322.20846875
transcript.pyannote[66].end 322.25909375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 322.25909375
transcript.pyannote[67].end 322.30971875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 322.30971875
transcript.pyannote[68].end 322.34346875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 322.34346875
transcript.pyannote[69].end 323.74409375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 325.27971875
transcript.pyannote[70].end 331.54034375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 329.56596875
transcript.pyannote[71].end 339.10034375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 339.72471875
transcript.pyannote[72].end 340.70346875
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 341.14221875
transcript.pyannote[73].end 341.73284375
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 342.34034375
transcript.pyannote[74].end 356.63346875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 356.83596875
transcript.pyannote[75].end 372.46221875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 372.46221875
transcript.pyannote[76].end 396.71159375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 375.48284375
transcript.pyannote[77].end 375.49971875
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 375.49971875
transcript.pyannote[78].end 376.57971875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 397.50471875
transcript.pyannote[79].end 412.35471875
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 412.35471875
transcript.pyannote[80].end 433.21221875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 412.57409375
transcript.pyannote[81].end 412.75971875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 413.33346875
transcript.pyannote[82].end 413.46846875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 426.69846875
transcript.pyannote[83].end 427.06971875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 430.14096875
transcript.pyannote[84].end 457.51221875
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 436.84034375
transcript.pyannote[85].end 436.85721875
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 436.90784375
transcript.pyannote[86].end 440.60346875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 457.86659375
transcript.pyannote[87].end 457.91721875
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 457.91721875
transcript.pyannote[88].end 458.35596875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 457.98471875
transcript.pyannote[89].end 458.28846875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 458.35596875
transcript.pyannote[90].end 458.44034375
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 458.44034375
transcript.pyannote[91].end 458.45721875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 458.45721875
transcript.pyannote[92].end 458.52471875
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 458.52471875
transcript.pyannote[93].end 458.59221875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 458.59221875
transcript.pyannote[94].end 458.84534375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 458.84534375
transcript.pyannote[95].end 461.69721875
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 462.62534375
transcript.pyannote[96].end 468.46409375
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 468.98721875
transcript.pyannote[97].end 477.44159375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 474.35346875
transcript.pyannote[98].end 486.13221875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 486.41909375
transcript.pyannote[99].end 489.03471875
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 489.03471875
transcript.pyannote[100].end 489.16971875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 490.72221875
transcript.pyannote[101].end 491.09346875
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 491.48159375
transcript.pyannote[102].end 491.95409375
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 492.76409375
transcript.pyannote[103].end 494.51909375
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 495.10971875
transcript.pyannote[104].end 500.96534375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 496.44284375
transcript.pyannote[105].end 499.36221875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 500.96534375
transcript.pyannote[106].end 506.90534375
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 502.24784375
transcript.pyannote[107].end 502.83846875
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 503.36159375
transcript.pyannote[108].end 525.72096875
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 526.05846875
transcript.pyannote[109].end 535.12034375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 531.05346875
transcript.pyannote[110].end 538.52909375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 538.68096875
transcript.pyannote[111].end 554.23971875
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 545.98784375
transcript.pyannote[112].end 547.96221875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 554.96534375
transcript.pyannote[113].end 558.22221875
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 558.77909375
transcript.pyannote[114].end 559.23471875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 562.55909375
transcript.pyannote[115].end 571.38471875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 572.49846875
transcript.pyannote[116].end 581.86409375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 583.65284375
transcript.pyannote[117].end 585.05346875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 583.77096875
transcript.pyannote[118].end 583.87221875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 585.05346875
transcript.pyannote[119].end 591.76971875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 592.30971875
transcript.pyannote[120].end 597.94596875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 598.41846875
transcript.pyannote[121].end 599.31284375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 600.08909375
transcript.pyannote[122].end 607.12596875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 607.69971875
transcript.pyannote[123].end 609.16784375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 609.16784375
transcript.pyannote[124].end 609.18471875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 610.07909375
transcript.pyannote[125].end 620.30534375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 618.95534375
transcript.pyannote[126].end 619.84971875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 620.76096875
transcript.pyannote[127].end 620.96346875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 620.96346875
transcript.pyannote[128].end 627.03846875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 628.64159375
transcript.pyannote[129].end 650.73096875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 652.18221875
transcript.pyannote[130].end 654.96659375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 654.96659375
transcript.pyannote[131].end 655.03409375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 655.03409375
transcript.pyannote[132].end 655.62471875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 655.62471875
transcript.pyannote[133].end 655.64159375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 656.09721875
transcript.pyannote[134].end 661.24409375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 661.61534375
transcript.pyannote[135].end 675.23346875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 675.57096875
transcript.pyannote[136].end 678.96284375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 678.96284375
transcript.pyannote[137].end 682.45596875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 682.45596875
transcript.pyannote[138].end 682.59096875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 682.65846875
transcript.pyannote[139].end 682.72596875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 682.72596875
transcript.pyannote[140].end 684.02534375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 684.02534375
transcript.pyannote[141].end 696.98534375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 697.08659375
transcript.pyannote[142].end 698.94284375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 698.30159375
transcript.pyannote[143].end 698.77409375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 698.94284375
transcript.pyannote[144].end 699.11159375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 699.11159375
transcript.pyannote[145].end 699.19596875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 699.19596875
transcript.pyannote[146].end 699.21284375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 699.21284375
transcript.pyannote[147].end 712.05471875
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 713.43846875
transcript.pyannote[148].end 715.85159375
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 715.93596875
transcript.pyannote[149].end 715.96971875
transcript.whisperx[0].start 5.701
transcript.whisperx[0].end 9.896
transcript.whisperx[0].text 主席好 我們請一下洪部長好 邀請洪部長
transcript.whisperx[1].start 25.502
transcript.whisperx[1].end 38.653
transcript.whisperx[1].text 這個我看到我們4月13號即將上路的這個家事移工新制那乍看之下是好事可是我突然仔細想想可是裡面好像很多的問題我在這邊請教我們部長我們決定這個開出一張144萬人的這個空投支票
transcript.whisperx[2].start 46.448
transcript.whisperx[2].end 71.161
transcript.whisperx[2].text 那先讓我們的家長認為說有便宜的勞動力可以用那至於人從哪裡來勞動部好像也沒說明我們現在目前只管把這個門檻拆掉然後引發這個洗工潮讓原本照顧老人的看護都跑去照顧小孩那至於以後小孩怎麼長大台灣保母會不會失業那長照體系會不會崩盤
transcript.whisperx[3].start 73.322
transcript.whisperx[3].end 88.834
transcript.whisperx[3].text 不是勞動部要關心的問題數據好看比較重要那我看到衛福部的報告他承認我們承認這個國家一起養這個小孩子這個牛皮吹破了
transcript.whisperx[4].start 89.744
transcript.whisperx[4].end 113.652
transcript.whisperx[4].text 既然公托蓋不夠 本國保母又太貴那我們決定棄守專業照護的底線反正只要把這批移工定義為家務幫傭 而非專業保母未來家裡出事就不歸衛福部管我們只負責發幾份數位教材 求個西南至於144萬個小孩的成長品質跟本土托育產業的崩潰
transcript.whisperx[5].start 115.513
transcript.whisperx[5].end 130.484
transcript.whisperx[5].text 那是家庭的私事與市場的競爭請大家自求多福那從這兩份書面報告我們可以看到政府的政策現在已經簡化到只要有人看小孩讓大人去工廠或辦公室上班就是成功的政策
transcript.whisperx[6].start 131.645
transcript.whisperx[6].end 157.576
transcript.whisperx[6].text 至於小孩照顧得好不好那本國保母有沒有飯吃國家這個養了這個政策是否名存實亡在4月1號的報告裡面都沒有看到具體的解決方案那我先請教衛福部你們現在這個定調勞動政策說家務幫庸不涉及專業托孕請教一下你有沒有去過任何一個家裡有小孩同時又請了移工的家庭你看過他們的真實生活嗎
transcript.whisperx[7].start 158.556
transcript.whisperx[7].end 182.019
transcript.whisperx[7].text 在你們這種表格化的腦袋裡世界是切開來的這一男是移工的廚房洗碗煮飯掃地這叫勞動部的勞動政策另一男是小孩在哭在爬要換尿布這叫衛福部的社政業務但現實生活中這兩件事是分開的只要家裡有小孩移工的手隨時都會觸碰到那我再請問就是說
transcript.whisperx[8].start 184.127
transcript.whisperx[8].end 194.063
transcript.whisperx[8].text 在這個萬一這個事情成真之後我們這個144萬個家庭當中如果發生了嚴重移工裂銅的案件這是屬於誰要負責的
transcript.whisperx[9].start 199.01
transcript.whisperx[9].end 215.175
transcript.whisperx[9].text 包委員我還是再重申一次委員剛剛所說的我覺得可能會有一些些小小偏頗我必須要跟委員報告所有這些政策其實基本上大概都是一攬子的一個政策對於這些部分我們有我們有津貼
transcript.whisperx[10].start 216.215
transcript.whisperx[10].end 239.066
transcript.whisperx[10].text 我們有公托我們也需要給家長時間這是現在目前全世界在推行有關於這個對育兒家庭最重要事實上就是有這些綜合的政策公司我請問衛福部衛福部對本土的保姆當初的要求是要受訓要訪視要定期考核因為衛福部說要專業嘛對不對要管得到我們這個也其實現在針對這144萬的家庭如果引進外籍幫佣你說這個部分你怎麼處理
transcript.whisperx[11].start 244.424
transcript.whisperx[11].end 270.8
transcript.whisperx[11].text 包委員這兩個並不是互相替代的啊這互相是補充的這不是互相替代是互相是補充的那他不會照顧到小孩嗎那你請你給這些家庭請這些外勞的用意是什麼包委員我們現在目前容我在他不會你請過來請過來你現在是年齡限制12歲以下嘛對不對包委員讓我再簡單說明一下我們現在目前對家庭照顧有三個層次一個叫teacher
transcript.whisperx[12].start 271.42
transcript.whisperx[12].end 298.548
transcript.whisperx[12].text 第二個呢是有關baby sister另外第三個叫housekeeper這三個是不一樣的那三個不一樣其實大家每一個家庭你一個家庭他有辦法處理這麼多人嗎他有辦法這樣有辦法簽話嗎因為他領的錢他有辦法去做這麼多的事情嗎所以我們現在每一個家庭都有不同的階段都有他們不同的需求所以我覺得這裡面事實上是我們應該要有一個所謂比較我請問這些幫傭他能不能照顧小孩
transcript.whisperx[13].start 301.515
transcript.whisperx[13].end 321.031
transcript.whisperx[13].text 這些外勞 外勞 外勞報告委員喔 讓我再重複一下我就這樣問嘛 他如果能夠照顧小孩 那是不是就要照你的規定外勞工作內容大概有幾個部分嘛 是房舍清理嘛食物烹調 但是家庭成員他也要照顧他的起居所以他當然 請這個當然是子女啊對 他要不要領保姆證照
transcript.whisperx[14].start 325.419
transcript.whisperx[14].end 340.357
transcript.whisperx[14].text 他是邦庸所以他跟保姆是不一樣的所以我剛剛就講一個是housekeeper一個是fellowshitter你怎麼去界定這個事情我這樣講因為邦庸這個外勞請到家裡你怎麼去限制他說這個不能碰那個不能碰你懂我意思嗎
transcript.whisperx[15].start 342.823
transcript.whisperx[15].end 363.049
transcript.whisperx[15].text 其實現在大家對保姆的專業期待很高,比方說他的健康照顧,甚至是他的發展的支持,就是小孩的早期發展的引導,甚至也包括一些輕職上面的顧問,或者是輕職上面的協助。
transcript.whisperx[16].start 363.969
transcript.whisperx[16].end 384.696
transcript.whisperx[16].text 當然這些事情都是現在專業保姆裡面被期待賦予的一些專業的角色這些工作當然是外籍幫傭無法做的啊對啦我現在要講的就是說我發現的問題點我現在是提醒你們你們要把這個事情釐清把它做得清楚一點寫得清楚一點就像我部長我還再請教就像你現在講話我再問你一個問題
transcript.whisperx[17].start 387.197
transcript.whisperx[17].end 395.922
transcript.whisperx[17].text 就是說我們今天的這項政策是要讓家長安心去工作嘛提高我們的勞動力對吧那邏輯上申請人應該都要在職場對吧
transcript.whisperx[18].start 397.574
transcript.whisperx[18].end 419.187
transcript.whisperx[18].text 我沒有看到我們要申請的時候,我只看到要戶口名簿、要申請表、身障罕見證明、罕病證明那你們沒有寫說這兩個人的在職證明或者是勞保紀錄吧?你們也要提供嗎?第一個,其實的確現在大部分來跟我們要求、希望來申請的
transcript.whisperx[19].start 420.247
transcript.whisperx[19].end 435.564
transcript.whisperx[19].text 絕大部分的確都是雙性家庭這是確定的但你沒有限制啊可是你沒寫清楚啊我們的資格的條件就是現在就是以12歲以下的小孩現在就是報告上沒寫嘛我現在提醒你
transcript.whisperx[20].start 437.565
transcript.whisperx[20].end 460.113
transcript.whisperx[20].text 對 我就舉例啦我們基本上就是一個家庭家裡他是這個收出工媽媽是專業貴婦兩個名下財產過億喔如果沒有工作需求他就可以天天遊山玩水那家裡有一個10歲以下的小孩子他就可以申請嘛 對不對那如果這樣繞過他這樣對我們的這個提高的勞動力好像一點幫助都沒有啊你跟我意思嗎第一個我還是要說
transcript.whisperx[21].start 462.711
transcript.whisperx[21].end 478.358
transcript.whisperx[21].text 我們剛剛在講到其實現在絕大多數來表達希望申請的確都是雙薪家庭那這個雙薪家庭他有他在工作跟家務分配上面這樣的需求對啦你們的出發點是對啦那我剛剛提醒你的時候你沒有剛剛沒有限制這個項目的時候你這個這個所謂的這個增加勞動的這個政策啊會變成富人管家的補助計畫
transcript.whisperx[22].start 491.586
transcript.whisperx[22].end 508.997
transcript.whisperx[22].text 其實你在兩年前你也要求我們我覺得是好事啊請我們願意要開放邦庸啊對對對我沒有反對我現在不是反對我的意思是說你們的規則你們的審查資格都沒有寫清楚你懂我意思嗎
transcript.whisperx[23].start 510.538
transcript.whisperx[23].end 529.635
transcript.whisperx[23].text 原本是三個小孩六歲以下這的確在現代的家庭結構裡面是過度嚴格的所以我們希望能夠把它放寬那在這個放寬的過程裡面第一個我們針對如果是弱勢比方說如果家長是生長或者是小孩的狀況是早療或者是發展遲緩
transcript.whisperx[24].start 531.056
transcript.whisperx[24].end 553.982
transcript.whisperx[24].text 包括這些東西我們都做了優先的配套的設計你不用再跟我解釋這件事情時間沒有很多啦我其實我是支持這個政策但是我希望你們把這個政策的規則寫清楚不要到時候搞得亂七八糟的各位說明我們會把配套做好那再來我想請部長請回我想請這個行政院理副秘書長人總我們的理處長保訓會蔡處長
transcript.whisperx[25].start 562.591
transcript.whisperx[25].end 580.939
transcript.whisperx[25].text 我先請教你們三位就是代表的我們台灣公務體系最核心的人事與法治單位那我先請教您你們在過去的公務生涯當中有沒有親自擔任過職場霸凌小組的調查委員或親自撰寫過這個霸凌案的這個認定報告
transcript.whisperx[26].start 584.097
transcript.whisperx[26].end 609.016
transcript.whisperx[26].text 有沒有去擔任過跟委員報告 我擔任過調查委員但是我沒有寫過調查報告對 因為我看到你們 你們有講到就是說現在行政院是外聘四個嘛 對不對外聘四個調查委員那我請教一下 這四個裡面是誰在做主還是行政院另外有派人
transcript.whisperx[27].start 610.58
transcript.whisperx[27].end 623.728
transcript.whisperx[27].text 跟委員報告那這一次的調查小組的話我們四位都是外聘委員那沒有內部委員沒有內部委員那誰為主導呢誰為主導啊如果他們四個調查回來兩個說有問題兩個又說沒有那怎麼辦
transcript.whisperx[28].start 629.89
transcript.whisperx[28].end 650.619
transcript.whisperx[28].text 調查小組是四個人,他會分工共同調查但是出那個報告的話,是四個人共同出一份報告,沒有出四份報告那如果四個人都講不好怎麼辦?四個人他們自己內部會有開會,他們會協調出共同的結論會討論出一個共同的結論,那你們就會照做嗎?
transcript.whisperx[29].start 656.544
transcript.whisperx[29].end 682.194
transcript.whisperx[29].text 我們會照做嗎你們會照他們的報告做嗎因為這一次就是為了要公正跟客觀嘛為了要釐清事實的真相所以我們自己的內部委員是沒有介入調查的那對於他的報告我們當然會信任跟尊重啊對啦 我不希望說這四個大家調查到後來然後沒有一個結論到時候又不了了之啊
transcript.whisperx[30].start 683.074
transcript.whisperx[30].end 711.51
transcript.whisperx[30].text 不會那到時候誰要介入是你們介入還是誰介入他是這樣子他的過程中的話現在由調查小組先去調查那調查完以後會出一份調查報告出稿那這個要多久你們現在調查要多久依照規定的時限是兩個月必要可以延長一個月但是院長昨天已經宣示了我們會盡量在規定兩個月的期限內完成報告好那我們就靜待報告了好謝謝
transcript.whisperx[31].start 714.501
transcript.whisperx[31].end 715.285
transcript.whisperx[31].text 謝謝邱政軍委員的資訊