iVOD / 159341

Field Value
IVOD_ID 159341
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/159341
日期 2025-03-19
會議資料.會議代碼 委員會-11-3-26-3
會議資料.會議代碼:str 第11屆第3會期社會福利及衛生環境委員會第3次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 3
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3會期社會福利及衛生環境委員會第3次全體委員會議
影片種類 Clip
開始時間 2025-03-19T10:26:09+08:00
結束時間 2025-03-19T10:37:04+08:00
影片長度 00:10:55
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/8d8da86eec6b25b8c19e7790e68f5d9f39fe1519e09d1f6f8962b2f3400241f679b5a1982509e2505ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王育敏
委員發言時間 10:26:09 - 10:37:04
會議時間 2025-03-19T09:00:00+08:00
會議名稱 立法院第11屆第3會期社會福利及衛生環境委員會第3次全體委員會議(事由:一、邀請勞動部部長列席報告業務概況,並備質詢。 二、處理113年度中央政府總預算附屬單位預算決議有關勞動部預算凍結報告案19案。【報告事項】【如經復議則不予處理】 三、繼續審查114年度中央政府總預算案附屬單位預算關於勞動部主管部分。 【3月17日、19日及20日三天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 7.00034375
transcript.pyannote[0].end 9.53159375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 9.59909375
transcript.pyannote[1].end 10.29096875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 14.40846875
transcript.pyannote[2].end 15.03284375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 15.94409375
transcript.pyannote[3].end 16.38284375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 17.14221875
transcript.pyannote[4].end 20.53409375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 21.10784375
transcript.pyannote[5].end 23.84159375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 24.97221875
transcript.pyannote[6].end 25.93409375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 26.44034375
transcript.pyannote[7].end 27.25034375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 27.26721875
transcript.pyannote[8].end 27.28409375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 27.30096875
transcript.pyannote[9].end 27.70596875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 28.12784375
transcript.pyannote[10].end 32.16096875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 32.70096875
transcript.pyannote[11].end 33.62909375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 32.80221875
transcript.pyannote[12].end 33.20721875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 34.33784375
transcript.pyannote[13].end 35.53596875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 34.84409375
transcript.pyannote[14].end 37.57784375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 37.17284375
transcript.pyannote[15].end 40.61534375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 38.26971875
transcript.pyannote[16].end 43.48409375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 43.87221875
transcript.pyannote[17].end 55.41471875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 55.88721875
transcript.pyannote[18].end 61.13534375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 61.57409375
transcript.pyannote[19].end 68.10471875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 68.52659375
transcript.pyannote[20].end 70.09596875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 71.14221875
transcript.pyannote[21].end 74.07846875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 74.53409375
transcript.pyannote[22].end 75.24284375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 74.78721875
transcript.pyannote[23].end 77.30159375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 77.79096875
transcript.pyannote[24].end 78.21284375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 78.46596875
transcript.pyannote[25].end 78.93846875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 78.51659375
transcript.pyannote[26].end 79.98471875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 79.98471875
transcript.pyannote[27].end 88.62471875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 88.99596875
transcript.pyannote[28].end 90.09284375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 90.46409375
transcript.pyannote[29].end 90.98721875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 91.35846875
transcript.pyannote[30].end 97.36596875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 97.97346875
transcript.pyannote[31].end 102.22596875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 103.49159375
transcript.pyannote[32].end 105.60096875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 106.39409375
transcript.pyannote[33].end 111.84471875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 109.09409375
transcript.pyannote[34].end 109.46534375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 110.02221875
transcript.pyannote[35].end 111.54096875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 111.84471875
transcript.pyannote[36].end 113.85284375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 111.99659375
transcript.pyannote[37].end 112.26659375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 113.11034375
transcript.pyannote[38].end 123.13409375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 123.35346875
transcript.pyannote[39].end 124.95659375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 125.19284375
transcript.pyannote[40].end 129.09096875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 128.07846875
transcript.pyannote[41].end 131.18346875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 130.60971875
transcript.pyannote[42].end 133.25909375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 133.29284375
transcript.pyannote[43].end 135.19971875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 135.26721875
transcript.pyannote[44].end 136.88721875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 137.46096875
transcript.pyannote[45].end 138.54096875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 138.89534375
transcript.pyannote[46].end 138.96284375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 138.96284375
transcript.pyannote[47].end 140.39721875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 141.25784375
transcript.pyannote[48].end 147.06284375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 147.85596875
transcript.pyannote[49].end 148.36221875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 147.90659375
transcript.pyannote[50].end 151.28159375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 149.08784375
transcript.pyannote[51].end 150.30284375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 151.02846875
transcript.pyannote[52].end 153.96471875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 153.71159375
transcript.pyannote[53].end 157.99784375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 158.14971875
transcript.pyannote[54].end 158.58846875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 160.91721875
transcript.pyannote[55].end 173.48909375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 168.52784375
transcript.pyannote[56].end 169.86096875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 171.80159375
transcript.pyannote[57].end 175.22721875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 176.13846875
transcript.pyannote[58].end 180.34034375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 180.34034375
transcript.pyannote[59].end 200.25284375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 200.80971875
transcript.pyannote[60].end 207.18846875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 207.77909375
transcript.pyannote[61].end 210.29346875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 210.95159375
transcript.pyannote[62].end 213.12846875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 213.53346875
transcript.pyannote[63].end 224.45159375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 224.62034375
transcript.pyannote[64].end 231.30284375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 231.87659375
transcript.pyannote[65].end 244.53284375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 241.02284375
transcript.pyannote[66].end 241.49534375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 244.22909375
transcript.pyannote[67].end 254.75909375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 247.58721875
transcript.pyannote[68].end 248.04284375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 253.61159375
transcript.pyannote[69].end 256.22721875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 255.07971875
transcript.pyannote[70].end 260.78346875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 261.15471875
transcript.pyannote[71].end 265.82909375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 265.77846875
transcript.pyannote[72].end 266.36909375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 267.36471875
transcript.pyannote[73].end 268.29284375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 267.70221875
transcript.pyannote[74].end 269.64284375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 270.41909375
transcript.pyannote[75].end 272.32596875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 270.43596875
transcript.pyannote[76].end 270.94221875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 271.44846875
transcript.pyannote[77].end 274.06409375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 272.35971875
transcript.pyannote[78].end 273.16971875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 274.62096875
transcript.pyannote[79].end 294.38159375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 294.55034375
transcript.pyannote[80].end 377.47409375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 377.81159375
transcript.pyannote[81].end 385.67534375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 385.79346875
transcript.pyannote[82].end 391.48034375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 391.95284375
transcript.pyannote[83].end 393.43784375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 393.80909375
transcript.pyannote[84].end 398.92221875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 393.97784375
transcript.pyannote[85].end 395.73284375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 398.50034375
transcript.pyannote[86].end 401.21721875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 399.05721875
transcript.pyannote[87].end 399.88409375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 401.40284375
transcript.pyannote[88].end 403.00596875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 402.53346875
transcript.pyannote[89].end 403.46159375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 403.68096875
transcript.pyannote[90].end 404.52471875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 404.86221875
transcript.pyannote[91].end 405.48659375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 405.45284375
transcript.pyannote[92].end 405.79034375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 405.75659375
transcript.pyannote[93].end 409.65471875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 408.35534375
transcript.pyannote[94].end 410.83596875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 411.08909375
transcript.pyannote[95].end 428.68971875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 429.24659375
transcript.pyannote[96].end 429.88784375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 429.44909375
transcript.pyannote[97].end 430.66409375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 431.06909375
transcript.pyannote[98].end 433.38096875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 433.51596875
transcript.pyannote[99].end 433.54971875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 433.54971875
transcript.pyannote[100].end 434.78159375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 433.58346875
transcript.pyannote[101].end 433.61721875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 433.71846875
transcript.pyannote[102].end 437.59971875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 436.75596875
transcript.pyannote[103].end 441.39659375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 440.87346875
transcript.pyannote[104].end 446.93159375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 443.25284375
transcript.pyannote[105].end 444.23159375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 447.16784375
transcript.pyannote[106].end 448.73721875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 449.14221875
transcript.pyannote[107].end 449.19284375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 450.79596875
transcript.pyannote[108].end 455.31846875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 451.01534375
transcript.pyannote[109].end 452.19659375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 453.10784375
transcript.pyannote[110].end 454.00221875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 455.04846875
transcript.pyannote[111].end 456.61784375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 455.84159375
transcript.pyannote[112].end 460.16159375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 459.92534375
transcript.pyannote[113].end 467.89034375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 466.43909375
transcript.pyannote[114].end 466.91159375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 469.34159375
transcript.pyannote[115].end 472.02471875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 472.31159375
transcript.pyannote[116].end 473.71221875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 473.94846875
transcript.pyannote[117].end 475.01159375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 475.01159375
transcript.pyannote[118].end 475.63596875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 475.38284375
transcript.pyannote[119].end 476.09159375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 477.17159375
transcript.pyannote[120].end 477.18846875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 477.22221875
transcript.pyannote[121].end 477.27284375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 478.20096875
transcript.pyannote[122].end 488.52846875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 488.86596875
transcript.pyannote[123].end 494.51909375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 495.07596875
transcript.pyannote[124].end 507.31034375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 507.56346875
transcript.pyannote[125].end 514.51596875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 514.19534375
transcript.pyannote[126].end 519.98346875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 515.42721875
transcript.pyannote[127].end 515.61284375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 520.70909375
transcript.pyannote[128].end 527.40846875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 526.83471875
transcript.pyannote[129].end 530.49659375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 528.04971875
transcript.pyannote[130].end 528.53909375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 529.58534375
transcript.pyannote[131].end 532.36971875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 531.18846875
transcript.pyannote[132].end 546.67971875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 546.52784375
transcript.pyannote[133].end 547.77659375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 547.25346875
transcript.pyannote[134].end 556.85534375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 557.02409375
transcript.pyannote[135].end 563.28471875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 563.14971875
transcript.pyannote[136].end 566.06909375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 566.08596875
transcript.pyannote[137].end 582.16784375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 582.40409375
transcript.pyannote[138].end 585.39096875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 585.57659375
transcript.pyannote[139].end 585.76221875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 585.76221875
transcript.pyannote[140].end 590.23409375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 590.75721875
transcript.pyannote[141].end 627.00471875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 624.20346875
transcript.pyannote[142].end 624.60846875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 625.38471875
transcript.pyannote[143].end 635.05409375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 628.75971875
transcript.pyannote[144].end 629.11409375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 632.42159375
transcript.pyannote[145].end 639.27284375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 635.71221875
transcript.pyannote[146].end 636.13409375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 637.70346875
transcript.pyannote[147].end 641.66909375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 641.60159375
transcript.pyannote[148].end 653.44784375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 642.10784375
transcript.pyannote[149].end 642.64784375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 652.24971875
transcript.pyannote[150].end 652.60409375
transcript.whisperx[0].start 7.028
transcript.whisperx[0].end 10.23
transcript.whisperx[0].text 好 謝謝主席 我們有請洪部長來 請部長謝謝王委員部長這個勞工高喊還我七天假你之前也去參加過他們的活動 對不對有沒有去參加過七天假嗎對 他們的訴求我記得有一次你有去參加過你自己都忘記了
transcript.whisperx[1].start 33.245
transcript.whisperx[1].end 54.678
transcript.whisperx[1].text 應該是去年 你有代表民進黨去參加過去接受陳情 接受訴求所以你完全知道勞工他的訴求那這個在內政委員會也排了這個恢復國定假日期先假的這個議案那內政部部長是公然的反對
transcript.whisperx[2].start 55.939
transcript.whisperx[2].end 70.093
transcript.whisperx[2].text 所以他是不贊成甚至說這不是真正的議題內政部部長反對還給勞工7天假請問勞動部部長你是支持還是反對跟花園說明第一個你只要直接回答支持或反對就好
transcript.whisperx[3].start 78.71
transcript.whisperx[3].end 104.799
transcript.whisperx[3].text 這是一個立場的表態在國定假日的法規的主管機關是內政部那當然從勞動部的立場我們認為國定假日的調整的這個議題那如果可以在一致性跟公平性的原則下面做討論的話我們覺得有正向討論的空間你的回答很模糊正向討論的空間代表你是支持嗎我們覺得有正向討論的空間
transcript.whisperx[4].start 106.448
transcript.whisperx[4].end 113.993
transcript.whisperx[4].text 你不敢講出支持兩個字 洪部長你是勞動部部長勞動部部長站在全國千萬勞工的立場然後支持他們還給他們七天假這件事情有這麼困難嗎
transcript.whisperx[5].start 123.559
transcript.whisperx[5].end 146.818
transcript.whisperx[5].text 王委員 我還是要說這一個法規的主管是在內政部當然啦 我是問勞動部部長你是贊成還是反對嘛對 我們覺得有正向討論的空間那是支持喔 我可以這樣講嗎我們覺得有正向討論的空間你怎麼一直在重複因為你的問題一直重複我叫你回答支持或反對這麼簡單的問題 我們的部長竟然回答不出來還是你根本就不敢回答
transcript.whisperx[6].start 148.178
transcript.whisperx[6].end 173.138
transcript.whisperx[6].text 你也不敢講支持你也不敢講反對我很清楚說了我們勞工部認為有正向討論的好那我就解讀說洪森漢支持還給勞工7天假那個我們覺得我們在政策討論的時候我覺得都應該要這個語意上面可以更精準這是我是希望說政策的討論要明確啊語意精準然後盡量不去做各種講話那我說洪森漢反對還給勞工7天假
transcript.whisperx[7].start 176.355
transcript.whisperx[7].end 199.785
transcript.whisperx[7].text 這個一樣也是這個不精準的簡化的詮釋啊其實部長你這樣子讓人家還蠻失望的大家說你從基層上來你最了解勞工的心聲結果在這種應該要表態的立場上面你還是用一種模糊以對不敢完全的表達自己站穩自己的立場如果勞動部部長都不敢站穩自己的立場
transcript.whisperx[8].start 201.065
transcript.whisperx[8].end 207.066
transcript.whisperx[8].text 內政部反對那請問行政院團隊裡面有哪一個內閣是支持還給勞工七天假的當勞動部都不敢幫勞工發聲那請問勞工要依靠誰為什麼我們歷任的這個勞動部部長都是往資方靠攏呢然後當時說換你上來會比較好因為你是從基層上來最理解勞工我看也沒有這樣子啊
transcript.whisperx[9].start 226.55
transcript.whisperx[9].end 241.443
transcript.whisperx[9].text 你該表態的時候你現在是不是當了官之後也不太敢表態了還要看上億還是你要看內政部的臉色因為人家內政部部長已經不同意了你就不敢站在勞動部部長立場大聲的說我跟他立場不一樣我認為應該再還給勞工七天假
transcript.whisperx[10].start 245.206
transcript.whisperx[10].end 265.698
transcript.whisperx[10].text 勞動部也是大的執政團隊議員 該表達的事情我們會表達但這個議題的主管 法規主管單位是內政部所以我們有我們的態度 那我們的態度就是覺得這個議題有正向討論的空間那就是要增加七天假嘛 應該就可以下這樣的標嘛 你不反對吧
transcript.whisperx[11].start 267.821
transcript.whisperx[11].end 289.418
transcript.whisperx[11].text 正向討論的空間是什麼就是你支持嘛我們覺得這個議題有討論的空間好那就是你支持我要讓你看一下那個數據我們現在的年總工時其實是不降反升近五年來從108年到現在它呈現的幅度本來有跌到谷底了就是不到這個一年不到
transcript.whisperx[12].start 291.299
transcript.whisperx[12].end 316.673
transcript.whisperx[12].text 2000現在去年又回升了到2030了所以在這樣的一個情況底下我們的勞工面對這一個工時過場的情況其實是沒有真正改善的如果可以多給他們這7天假我想是會有效的降低他的年總工時這個是數學的問題一看就知道而你看到這個我們跟日韓的特休日的比較我們對於新進的這個勞工我們現在給的
transcript.whisperx[13].start 320.035
transcript.whisperx[13].end 347.806
transcript.whisperx[13].text 休假天數是比較少的日本在第一年的時候是10天韓國是15天他們其實都很高我們是到後面年資的時候就是你的年資可能超過十幾年的時候我們才往上加所以這個當然對於比較年輕的勞工來講他現在面臨到的情況就是工時長國定假日少然後這個特休日數在第一年的時候也是相對日韓來講是比較低的所以我想勞工團體他們才會提出來嘛
transcript.whisperx[14].start 349.807
transcript.whisperx[14].end 375.858
transcript.whisperx[14].text 希望可以多增加這一個國定假日的7天假那我希望在這件事情上面部長你真的要站穩你的立場你搖擺的時候這個勞工的訴求就不可能達成因為連部長都不挺都不支持你的態度都不明確這個是不會有答案的接下來我要講的是這個防治霸凌專章對於保護勞工也是非常重要我要問你們你們的草案預計什麼時候對外公告
transcript.whisperx[15].start 378.288
transcript.whisperx[15].end 391.324
transcript.whisperx[15].text 我們的草案目前其實已經在最後的收尾的階段那我們希望在這個會期大概我們也希望能夠盡快的把它預告出來然後能夠在這個會期送到立法院
transcript.whisperx[16].start 392.391
transcript.whisperx[16].end 408.97
transcript.whisperx[16].text 對 什麼時候要預告因為最後有些條文我們還在做相關的這一週會對外預告嗎可能沒有辦法到這一週這麼快那我們會盡快那是不是可以下週就對外可以預告我也希望盡快
transcript.whisperx[17].start 411.612
transcript.whisperx[17].end 428.643
transcript.whisperx[17].text 我希望下週就可以預告那這其中有幾個部分我覺得很重要的我希望在你們的草案裡面要去定的更完整一個就是你的申訴機制你現在有沒有要求一定規模的企業他要建立申訴管道比照這個新工法
transcript.whisperx[18].start 431.467
transcript.whisperx[18].end 449.149
transcript.whisperx[18].text 現在是應該是往這個方向就是在申訴調查包括這些相關你們現在是多少規模你們現在初步的草案多少規模要建立申訴法我們是有一定規模的企業的要求但是詳細的內容等到我們預告的時候會讓委員這邊知道你們現在應該有大概的方向有
transcript.whisperx[19].start 453.49
transcript.whisperx[19].end 476.105
transcript.whisperx[19].text 這比較新公法嗎?是30號嗎?比較新公法嗎?因為這個法規大家的討論都會去參考新公法的概念那另外一個霸凌的調查應要透明化你們現在外部委員佔的比例有沒有要求要多少?我要求至少要半數我想現在大家都認為外部委員是很重要的所以會過半嘛對不對?在你們的草案裡面有沒有過半?是
transcript.whisperx[20].start 478.257
transcript.whisperx[20].end 507.12
transcript.whisperx[20].text 有 有過半嗎好 我要求一定要這樣子才不會有關關相互的問題第三個是你的再申訴的管道的機制因為之前你們這個勞動部發生的很不幸的公務人員被霸凌然後致死案之後他遇到的問題就是第一次調查是沒有成立是第二次調查再調查輿論嘩然他才成立所以你們所謂的再申訴機制的救濟管道有沒有納入你們的草案裡面
transcript.whisperx[21].start 508.025
transcript.whisperx[21].end 519.677
transcript.whisperx[21].text 當然救濟的做法這個當然這個都會在我們相關的法規裡面去做有納入嘛對不對我要求一定要這個再申訴的機制就是要納入裡面有嗎
transcript.whisperx[22].start 522.549
transcript.whisperx[22].end 547.161
transcript.whisperx[22].text 細節的部分我想我們預告的時候會讓大家知道這個是方向性的問題有沒有納入再申訴我們有設計有設計對不對我要求就是要設計進去那這個部分是大家很期待的所以我希望你們這個修法的速度也是要加快你們草案也可以盡快在下個禮拜就是對外公告讓外界再給予你們更多的意見我們也希望盡快
transcript.whisperx[23].start 547.921
transcript.whisperx[23].end 565.855
transcript.whisperx[23].text 那最後一個是你的就業安定基金現在這個濫用7000萬這個之前大家已經討論很多你現在有一個測定作為那這個測定作為它其實不是法律它就是你公布的一個做法不是我們是會修訂法規命令
transcript.whisperx[24].start 566.135
transcript.whisperx[24].end 581.952
transcript.whisperx[24].text 好 那我就問你你現在所有的策進作為是不是通通都可以入法你是選擇性的我看你有一些有有要修訂在你的就業安定基金收支保管及運用辦法但有一些其實是沒有你並不是全面性的入法
transcript.whisperx[25].start 582.458
transcript.whisperx[25].end 608.932
transcript.whisperx[25].text 有一些會是行政規則但也有一些用法規命令我是希望你們回去再研議因為這次的整個救安基金所暴露的這些問題代表我們過去在管理跟運作上的確不夠嚴謹那既然你們要入法你如果覺得你這六項策進作為都是很到位而且很重要的你應該要研議每一項都在你的運用辦法裡面就是要加進去就是
transcript.whisperx[26].start 609.492
transcript.whisperx[26].end 626.496
transcript.whisperx[26].text 你應該讓他法治化以免現在是紅部長覺得這個很重要下一次以後可能不知道換哪一位部長上來覺得不重要他就可以做這個該遵守或不遵守他其實是沒有一個法令的要求的這個我希望你們回去你們再解釋這個測定做我們已經在進行中了
transcript.whisperx[27].start 628.937
transcript.whisperx[27].end 652.943
transcript.whisperx[27].text 那對於規範的形式上面當然我們也可以再做一些思考好你們再回去研議好不好我要求的就是說希望這整個可以是更嚴謹的其實我們是把它修進我們的法規命令裡面好很好那你們就是整個你們再給我一份報告就是哪一些是修法規命令哪一些是修到你的運用辦法我希望看到的是你整個是一個很嚴謹的做法好不好好謝謝