iVOD / 157828

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/01ebf86bd8208360d933e75d22afb9a8e45dd5fe0ad21242d33acae7c847dfd3263c0903a4778e8e5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 羅廷瑋
委員發言時間 13:56:15 - 14:09:47
影片長度 812
會議時間 2024-12-04T09:00:00+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12次全體委員會議(事由:邀請勞動部部長針對「勞動部勞動力發展署北基宜花金馬分署事件及如何完善申訴管道之具體策進作為及期程」進行專題報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 8.18159375
transcript.pyannote[0].end 10.71284375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 17.31096875
transcript.pyannote[1].end 18.55971875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 19.16721875
transcript.pyannote[2].end 22.00221875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 22.87971875
transcript.pyannote[3].end 24.44909375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 25.15784375
transcript.pyannote[4].end 30.43971875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 33.34221875
transcript.pyannote[5].end 34.48971875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 34.59096875
transcript.pyannote[6].end 37.47659375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 38.69159375
transcript.pyannote[7].end 40.80096875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 40.85159375
transcript.pyannote[8].end 41.32409375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 42.28596875
transcript.pyannote[9].end 44.93534375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 45.32346875
transcript.pyannote[10].end 46.45409375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 47.17971875
transcript.pyannote[11].end 53.72721875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 54.01409375
transcript.pyannote[12].end 57.84471875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 58.51971875
transcript.pyannote[13].end 67.81784375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 68.22284375
transcript.pyannote[14].end 69.08346875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 70.02846875
transcript.pyannote[15].end 71.17596875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 71.95221875
transcript.pyannote[16].end 72.96471875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 73.82534375
transcript.pyannote[17].end 74.53409375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 75.14159375
transcript.pyannote[18].end 75.98534375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 76.93034375
transcript.pyannote[19].end 80.18721875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 80.81159375
transcript.pyannote[20].end 86.11034375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 86.51534375
transcript.pyannote[21].end 96.77534375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 97.34909375
transcript.pyannote[22].end 100.43721875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 100.99409375
transcript.pyannote[23].end 106.07346875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 107.86221875
transcript.pyannote[24].end 108.57096875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 109.22909375
transcript.pyannote[25].end 114.79784375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 116.31659375
transcript.pyannote[26].end 118.84784375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 119.48909375
transcript.pyannote[27].end 120.19784375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 121.26096875
transcript.pyannote[28].end 121.91909375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 122.39159375
transcript.pyannote[29].end 123.21846875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 123.87659375
transcript.pyannote[30].end 124.75409375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 125.63159375
transcript.pyannote[31].end 126.52596875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 127.38659375
transcript.pyannote[32].end 128.68596875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 129.22596875
transcript.pyannote[33].end 129.91784375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 130.35659375
transcript.pyannote[34].end 131.82471875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 132.88784375
transcript.pyannote[35].end 133.93409375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 134.65971875
transcript.pyannote[36].end 135.94221875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 136.38096875
transcript.pyannote[37].end 137.20784375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 138.28784375
transcript.pyannote[38].end 139.82346875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 140.97096875
transcript.pyannote[39].end 141.79784375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 142.20284375
transcript.pyannote[40].end 143.41784375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 143.41784375
transcript.pyannote[41].end 143.43471875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 144.34596875
transcript.pyannote[42].end 144.36284375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 144.36284375
transcript.pyannote[43].end 144.86909375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 144.86909375
transcript.pyannote[44].end 144.95346875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 144.95346875
transcript.pyannote[45].end 144.97034375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 144.97034375
transcript.pyannote[46].end 145.03784375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 145.03784375
transcript.pyannote[47].end 145.25721875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 145.67909375
transcript.pyannote[48].end 153.00284375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 151.33221875
transcript.pyannote[49].end 162.43596875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 157.00221875
transcript.pyannote[50].end 158.63909375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 163.38096875
transcript.pyannote[51].end 168.13971875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 168.52784375
transcript.pyannote[52].end 169.27034375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 170.38409375
transcript.pyannote[53].end 175.27784375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 176.54346875
transcript.pyannote[54].end 181.48784375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 178.58534375
transcript.pyannote[55].end 178.75409375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 182.09534375
transcript.pyannote[56].end 183.09096875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 184.67721875
transcript.pyannote[57].end 191.29221875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 188.18721875
transcript.pyannote[58].end 192.37221875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 192.69284375
transcript.pyannote[59].end 193.19909375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 194.02596875
transcript.pyannote[60].end 200.64096875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 202.76721875
transcript.pyannote[61].end 208.06596875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 207.40784375
transcript.pyannote[62].end 208.01534375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 208.06596875
transcript.pyannote[63].end 208.08284375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 208.08284375
transcript.pyannote[64].end 208.97721875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 208.97721875
transcript.pyannote[65].end 212.85846875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 213.31409375
transcript.pyannote[66].end 220.68846875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 222.02159375
transcript.pyannote[67].end 223.35471875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 224.06346875
transcript.pyannote[68].end 226.66221875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 226.96596875
transcript.pyannote[69].end 228.51846875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 229.27784375
transcript.pyannote[70].end 231.47159375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 233.09159375
transcript.pyannote[71].end 250.72596875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 251.38409375
transcript.pyannote[72].end 252.44721875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 252.98721875
transcript.pyannote[73].end 258.06659375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 259.14659375
transcript.pyannote[74].end 260.26034375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 260.71596875
transcript.pyannote[75].end 270.70596875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 271.65096875
transcript.pyannote[76].end 272.44409375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 274.24971875
transcript.pyannote[77].end 275.70096875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 276.64596875
transcript.pyannote[78].end 277.81034375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 278.77221875
transcript.pyannote[79].end 280.02096875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 280.56096875
transcript.pyannote[80].end 281.30346875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 282.70409375
transcript.pyannote[81].end 284.10471875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 285.01596875
transcript.pyannote[82].end 285.47159375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 285.87659375
transcript.pyannote[83].end 293.26784375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 294.02721875
transcript.pyannote[84].end 297.25034375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 298.27971875
transcript.pyannote[85].end 305.01284375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 305.63721875
transcript.pyannote[86].end 306.95346875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 307.59471875
transcript.pyannote[87].end 309.77159375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 310.32846875
transcript.pyannote[88].end 311.27346875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 311.72909375
transcript.pyannote[89].end 322.10721875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 322.29284375
transcript.pyannote[90].end 326.34284375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 326.56221875
transcript.pyannote[91].end 328.36784375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 329.24534375
transcript.pyannote[92].end 338.15534375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 338.34096875
transcript.pyannote[93].end 339.75846875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 340.88909375
transcript.pyannote[94].end 340.92284375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 340.92284375
transcript.pyannote[95].end 344.04471875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 341.29409375
transcript.pyannote[96].end 342.32346875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 344.50034375
transcript.pyannote[97].end 353.79846875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 345.61409375
transcript.pyannote[98].end 346.54221875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 353.95034375
transcript.pyannote[99].end 354.47346875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 354.94596875
transcript.pyannote[100].end 356.97096875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 356.97096875
transcript.pyannote[101].end 357.35909375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 357.76409375
transcript.pyannote[102].end 359.16471875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 359.31659375
transcript.pyannote[103].end 360.14346875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 360.86909375
transcript.pyannote[104].end 365.93159375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 366.43784375
transcript.pyannote[105].end 369.93096875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 370.85909375
transcript.pyannote[106].end 382.73909375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 384.52784375
transcript.pyannote[107].end 385.60784375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 387.51471875
transcript.pyannote[108].end 395.41221875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 394.26471875
transcript.pyannote[109].end 401.72346875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 402.22971875
transcript.pyannote[110].end 404.71034375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 405.46971875
transcript.pyannote[111].end 415.02096875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 416.32034375
transcript.pyannote[112].end 420.38721875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 421.72034375
transcript.pyannote[113].end 422.15909375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 422.15909375
transcript.pyannote[114].end 422.20971875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 422.20971875
transcript.pyannote[115].end 422.22659375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 422.22659375
transcript.pyannote[116].end 429.02721875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 422.26034375
transcript.pyannote[117].end 422.37846875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 429.93846875
transcript.pyannote[118].end 431.17034375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 431.72721875
transcript.pyannote[119].end 436.23284375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 436.82346875
transcript.pyannote[120].end 438.29159375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 439.54034375
transcript.pyannote[121].end 440.99159375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 441.12659375
transcript.pyannote[122].end 447.65721875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 452.36534375
transcript.pyannote[123].end 456.31409375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 456.82034375
transcript.pyannote[124].end 459.48659375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 461.10659375
transcript.pyannote[125].end 463.24971875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 463.26659375
transcript.pyannote[126].end 464.66721875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 467.82284375
transcript.pyannote[127].end 469.27409375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 470.35409375
transcript.pyannote[128].end 470.89409375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 471.16409375
transcript.pyannote[129].end 471.82221875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 472.14284375
transcript.pyannote[130].end 473.17221875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 474.48846875
transcript.pyannote[131].end 475.46721875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 476.17596875
transcript.pyannote[132].end 477.88034375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 479.92221875
transcript.pyannote[133].end 484.03971875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 484.59659375
transcript.pyannote[134].end 486.13221875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 486.21659375
transcript.pyannote[135].end 495.97034375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 495.97034375
transcript.pyannote[136].end 497.77596875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 498.28221875
transcript.pyannote[137].end 502.28159375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 503.59784375
transcript.pyannote[138].end 505.28534375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 506.34846875
transcript.pyannote[139].end 507.81659375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 508.47471875
transcript.pyannote[140].end 509.09909375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 510.14534375
transcript.pyannote[141].end 511.29284375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 512.20409375
transcript.pyannote[142].end 513.38534375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 513.38534375
transcript.pyannote[143].end 513.40221875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 514.16159375
transcript.pyannote[144].end 515.03909375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 515.03909375
transcript.pyannote[145].end 515.51159375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 516.11909375
transcript.pyannote[146].end 522.64971875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 522.07596875
transcript.pyannote[147].end 532.63971875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 526.04159375
transcript.pyannote[148].end 526.24409375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 533.77034375
transcript.pyannote[149].end 538.03971875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 538.90034375
transcript.pyannote[150].end 545.83596875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 546.02159375
transcript.pyannote[151].end 546.98346875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 547.37159375
transcript.pyannote[152].end 548.80596875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 549.29534375
transcript.pyannote[153].end 551.91096875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 553.10909375
transcript.pyannote[154].end 556.06221875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 556.50096875
transcript.pyannote[155].end 557.24346875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 557.24346875
transcript.pyannote[156].end 572.49846875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 572.49846875
transcript.pyannote[157].end 582.52221875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 581.32409375
transcript.pyannote[158].end 582.21846875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 582.91034375
transcript.pyannote[159].end 583.14659375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 583.53471875
transcript.pyannote[160].end 584.27721875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 584.71596875
transcript.pyannote[161].end 585.94784375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 587.83784375
transcript.pyannote[162].end 588.49596875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 588.49596875
transcript.pyannote[163].end 588.71534375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 588.71534375
transcript.pyannote[164].end 594.30096875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 594.30096875
transcript.pyannote[165].end 596.64659375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 595.93784375
transcript.pyannote[166].end 597.81096875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 597.22034375
transcript.pyannote[167].end 600.79784375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 601.54034375
transcript.pyannote[168].end 602.78909375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 602.92409375
transcript.pyannote[169].end 604.05471875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 604.18971875
transcript.pyannote[170].end 618.02721875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 618.02721875
transcript.pyannote[171].end 618.06096875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 618.06096875
transcript.pyannote[172].end 618.70221875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 618.70221875
transcript.pyannote[173].end 628.50659375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 623.56221875
transcript.pyannote[174].end 631.00409375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 631.00409375
transcript.pyannote[175].end 633.28221875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 632.55659375
transcript.pyannote[176].end 637.99034375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 638.14221875
transcript.pyannote[177].end 642.98534375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 639.32346875
transcript.pyannote[178].end 640.62284375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 642.39471875
transcript.pyannote[179].end 651.49034375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 651.82784375
transcript.pyannote[180].end 656.04659375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 656.31659375
transcript.pyannote[181].end 661.66596875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 663.13409375
transcript.pyannote[182].end 665.27721875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 667.08284375
transcript.pyannote[183].end 675.13221875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 675.72284375
transcript.pyannote[184].end 680.26221875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 680.68409375
transcript.pyannote[185].end 681.03846875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 681.89909375
transcript.pyannote[186].end 684.09284375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 685.39221875
transcript.pyannote[187].end 686.42159375
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 686.72534375
transcript.pyannote[188].end 689.42534375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 689.79659375
transcript.pyannote[189].end 693.66096875
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 694.09971875
transcript.pyannote[190].end 695.44971875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 696.14159375
transcript.pyannote[191].end 705.89534375
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 706.14846875
transcript.pyannote[192].end 709.54034375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 709.94534375
transcript.pyannote[193].end 710.60346875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 711.02534375
transcript.pyannote[194].end 714.82221875
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 715.29471875
transcript.pyannote[195].end 719.83409375
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 720.03659375
transcript.pyannote[196].end 725.72346875
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 726.17909375
transcript.pyannote[197].end 727.54596875
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 728.35596875
transcript.pyannote[198].end 737.40096875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 737.40096875
transcript.pyannote[199].end 743.34096875
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 741.73784375
transcript.pyannote[200].end 741.92346875
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 743.86409375
transcript.pyannote[201].end 746.10846875
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 743.89784375
transcript.pyannote[202].end 744.75846875
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 745.65284375
transcript.pyannote[203].end 756.55409375
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 746.95221875
transcript.pyannote[204].end 747.28971875
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 748.23471875
transcript.pyannote[205].end 751.86284375
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 752.92596875
transcript.pyannote[206].end 753.38159375
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 756.67221875
transcript.pyannote[207].end 767.15159375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 756.80721875
transcript.pyannote[208].end 757.06034375
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 762.71346875
transcript.pyannote[209].end 764.01284375
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 767.84346875
transcript.pyannote[210].end 771.40409375
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 771.60659375
transcript.pyannote[211].end 783.67221875
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 784.31346875
transcript.pyannote[212].end 785.27534375
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 785.83221875
transcript.pyannote[213].end 788.02596875
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 788.02596875
transcript.pyannote[214].end 797.44221875
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 798.92721875
transcript.pyannote[215].end 799.73721875
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 799.73721875
transcript.pyannote[216].end 804.44534375
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 805.71096875
transcript.pyannote[217].end 808.20846875
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 809.82846875
transcript.pyannote[218].end 810.48659375
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 810.97596875
transcript.pyannote[219].end 811.61721875
transcript.whisperx[0].start 8.24
transcript.whisperx[0].end 37.259
transcript.whisperx[0].text 好 是不是有請召委 有請部長各位好部長好 部長請問一下你是局內人還是民演人還是賴清德派來的要清掃局系的清道夫我們跑一波影看一下 局內人 民演人 清道夫
transcript.whisperx[1].start 38.889
transcript.whisperx[1].end 43.173
transcript.whisperx[1].text 我眼睛開過刀眼睛開過刀針對問題回答嗎
transcript.whisperx[2].start 47.233
transcript.whisperx[2].end 72.321
transcript.whisperx[2].text 我現在就是勞動部長我想我要告訴你你在這個過程當中你有很多的資料為什麼外界可以馬上知道有人說是因為勞動部裡面有很多的局係他們都會把相關的資料來讓我們外界知道但我要說的是外界都在放大關注你的一舉一動今天的專題報告扣掉封面三張A4
transcript.whisperx[3].start 73.871
transcript.whisperx[3].end 96.371
transcript.whisperx[3].text 了無新意夫言了事上一份報告說遭受職場霸凌情勢的得向本部機關長官單位主管人事提出申訴跟通報今天的報告說完善了申訴制度申訴管道多元化明訂申訴電話傳真電子信箱專用信箱等申訴管道請問部長
transcript.whisperx[4].start 97.432
transcript.whisperx[4].end 126.315
transcript.whisperx[4].text 我個人認為這些文字上沒有什麼太大的差異就這幾天來說我看到你最大的政策就是公佈了你的電話就這樣而已所以請問我們部長上任第10天你是馬上被官僚的系統說服了嗎?針對政府部門霸凌案卓院長態度非常強硬好人他在做說一個禮拜
transcript.whisperx[5].start 127.443
transcript.whisperx[5].end 143.002
transcript.whisperx[5].text 再給你多一個禮拜就是今天今天所有的委員都在說好聽話他在講真正做不出來又是一回事到底是他講好聽話敷衍人民還是你的能力有問題
transcript.whisperx[6].start 144.38
transcript.whisperx[6].end 168.765
transcript.whisperx[6].text 到底誰要道歉跟羅廷說明齁其實從我上任上禮拜就馬上在進行重啟調查的準備工作我都有看你也有加碼去邀請一些人來做一個訪問我都知道可是我的意思是說卓院長對外公布講得這麼好聽一個禮拜處理我們引頸期盼結果換來的是又一個禮拜好因為你上任可以體諒
transcript.whisperx[7].start 170.444
transcript.whisperx[7].end 182.904
transcript.whisperx[7].text 再給你一個禮拜現在又不行又要下個禮拜下個禮拜是禮拜一還是禮拜五我們下個禮拜公佈我也希望盡快下個禮拜是禮拜一還是禮拜五我們也希望盡快那可不可以禮拜一
transcript.whisperx[8].start 188.349
transcript.whisperx[8].end 200.404
transcript.whisperx[8].text 所以我要講的是每一個文字自制都要到重點而不是卓院長講的很好聽我們引起期盼結果現在做不到所以現在是卓院長要道歉還是你要道歉
transcript.whisperx[9].start 202.813
transcript.whisperx[9].end 231.218
transcript.whisperx[9].text 那個羅永我們現在的工作就是把這個調查希望盡力的部長今天來到未完委員會喔我們是來專案報告不是來聽你講鬼故事的今天喔我們大家都知道也有昭之委員也有提到你之前在所謂的鬼故事在政論節目有提到你跟誰反映你也不願意去公佈你跟誰反映到現在你還不願意說出嗎當時你所謂的聽到鬼故事
transcript.whisperx[10].start 233.177
transcript.whisperx[10].end 257.651
transcript.whisperx[10].text 沈大豪問你你跟誰反應你就說勞動部的高層到今天我想問的是縱容而且默許甚至沒有作為我先不提到你當你反應到了這些人當中他們沒有作為沒有去及時的反應處理這件事情這些人你還不公佈所以我再一次問你在政論節目你所提到的你有向上反應鬼故事那個人是誰
transcript.whisperx[11].start 259.158
transcript.whisperx[11].end 272.447
transcript.whisperx[11].text 我向勞動部反映你還是講勞動部嘛你不講人民嘛勞動部就是一個機關這個機關有什麼人你不願意講這就是官官相護嘛這就是官僚嘛才10天我們見義勇為紅委員不見了變官僚體系的紅部長這就是東扯西扯
transcript.whisperx[12].start 285.123
transcript.whisperx[12].end 306.569
transcript.whisperx[12].text 所以你到底是紅委員還是紅部長今天在我們這邊備詢的是紅部長還是紅委員民眾心中自有一把尺所以不要一直在那邊東扯西扯沒有行政權也給你行政權了現在你還調查不出來好給你加碼時間問你一些細節你不願意說我要再一次提醒部長
transcript.whisperx[13].start 307.642
transcript.whisperx[13].end 328.095
transcript.whisperx[13].text 你坐在這裡你是紅部長不是紅委員整個勞動部閨女館現在都有行政權還查不出來或者是還不願意透露細節讓全民知道當部長就是一個很好的照妖鏡走過的路一路一路都會幫你檢視出來第二個我要跟你探討一件事
transcript.whisperx[14].start 329.398
transcript.whisperx[14].end 339.123
transcript.whisperx[14].text 紅部長 院長對你這麼器重想請問一下你知道救安基金的用途有哪些嗎我相信有其他的委員都問過你了你可以講大概幾項嗎
transcript.whisperx[15].start 340.896
transcript.whisperx[15].end 347.02
transcript.whisperx[15].text 好當然我無疑刁難吼那我們先看一下這個報導所指出的相關福邊濫用的這些列舉出來吼可以看到今天我們大家都在琢磨就業安定基金
transcript.whisperx[16].start 370.956
transcript.whisperx[16].end 382.452
transcript.whisperx[16].text 用在裝潢用在一些狗屁刀招的事情花了人民的納稅錢這是我們現在最生氣的一件事情請問聽許明春唱歌是提升勞工福祉嗎部長你覺得是嗎
transcript.whisperx[17].start 387.517
transcript.whisperx[17].end 414.859
transcript.whisperx[17].text 那個跟羅委員報告齁其實現在在救安基金的支用的機制我知道你會說合宜合法沒關係我都可以我都聽過了但是我現在講是民眾觀感不佳就是部分有部分的橋段我不管合不合宜啊當列舉出來就業安定基金民眾的大觀感就是覺得他是應該使用在勞工福利
transcript.whisperx[18].start 416.38
transcript.whisperx[18].end 438.095
transcript.whisperx[18].text 但我們聽許明春唱歌可以提供勞工福祉嗎?你直接告訴我可以跟不可以你覺得還有讓勞工提升福祉嗎?有讓外界觀感不佳的地方我當然會檢討這就是我們要的答案所以我們不要東扯西扯就直接就問題來回答那再來我問你外籍移工被遣返
transcript.whisperx[19].start 439.988
transcript.whisperx[19].end 447.614
transcript.whisperx[19].text 從1月到現在所支出的就業安定基金的費用、機票費給這些外籍移工遣返的費用累積到多少錢了?詳細的數字我們可能在跟業務單位確認到現在還在業務單位確認就業安定基金今天一整天都在考這一題現在問你一個數字你們還不知道還沒有人上來救啊隨便google查一下
transcript.whisperx[20].start 470.407
transcript.whisperx[20].end 477.496
transcript.whisperx[20].text 移工、機票、就業安定基金一到十月媒體報導說三千多萬
transcript.whisperx[21].start 479.96
transcript.whisperx[21].end 506.675
transcript.whisperx[21].text 我先問一下部長你知不知道就業安定基金被挪用作為移工遣返的機票費用?跟委員報告因為這其實涉及整體用移工管理的事務在法定上面移工管理的事務是可以致用的我當然知道又是合宜不合宜嘛觀感不佳而已啊但是我現在的問題是移民署現在抓到的這些移工移民署現在用救福法60條來跟你講
transcript.whisperx[22].start 510.385
transcript.whisperx[22].end 537.762
transcript.whisperx[22].text 說你要來買單那你編公務預算啊你為什麼用就業安定基金那個因為我們救福法裡面其實就有說勞工移工管理相關的事務那你就應該編列公務預算正常之印我支持你我沒有說不行但是不要用在就業安定基金因為人民的觀感真的很不好我們應該要跟現在你有行政權你應該要反映行政院
transcript.whisperx[23].start 538.939
transcript.whisperx[23].end 551.714
transcript.whisperx[23].text 移工遣返的問題已經越來越大宗甚至有的因為時間快到了他已經沒有居留權他現在有很多人就直接檢舉他買機票不用擔心因為政府會幫他出所以就有所謂的開始檢舉的這個亂象
transcript.whisperx[24].start 556.607
transcript.whisperx[24].end 585.632
transcript.whisperx[24].text 那個我支持抓移工違法的移工但是我現在問題是用就業安定基金不斷的支出我剛剛問你一到十月三千多萬就業安定基金來支應所謂的移工機票遣返你覺得合理嗎那個論其實在就服法的60條裡面就有講到說這個移工遣返由就安安定基金先行電付這是在魔法那你有還他錢了嗎電付以後要不要先再還他錢
transcript.whisperx[25].start 589.028
transcript.whisperx[25].end 602.398
transcript.whisperx[25].text 我們會讓我們我們有因為在法規裡面是這樣明定的所以我們也會有電付的責任但能是電付還是直接支我們會有先行電付的先行電付有沒有還就業安定基金這是重點啊所以我要講的是
transcript.whisperx[26].start 603.058
transcript.whisperx[26].end 618.889
transcript.whisperx[26].text 不管是電付不管是資印你如果是資印你也確定要用資印你把它排公務預算我支持你去修法你用就業安定基金今天我點出的問題你不要告訴我法這樣定民眾觀感能接受嗎而現在亂象出來了我們不用修法嗎
transcript.whisperx[27].start 619.75
transcript.whisperx[27].end 626.479
transcript.whisperx[27].text 我剛剛有提到他用救福法60條我都知道是救福法60條但我要講的是民眾觀感不佳我跟部長講那我點出問題您願不願意回去討論有可能要又來修法嗎這不是我的手機
transcript.whisperx[28].start 638.234
transcript.whisperx[28].end 664.626
transcript.whisperx[28].text 我們的行政部門現在確實必須是按照救福法60條裡面來去做執行我懂但是民眾觀感不佳媒體報導出來以後直接給你下一個大標說就業安定基金使用在這個上面上全民都覺得很憤慨要修法要去改變這就是你要改革我們要你來當紅部長就是希望你有所突破啊所以今天我提出這個問題我剛剛一開始就開宗明義講移民署直接用救福法60條
transcript.whisperx[29].start 667.128
transcript.whisperx[29].end 683.701
transcript.whisperx[29].text 他用的是合法我沒有說不合法但是合不合宜民眾官板加不加這是我們要後續要探討的一個問題所以我想各部會用救安基金一直挖錢出去一直搬出去給各部會用部長為什麼勞動部要一直給面子給各部會
transcript.whisperx[30].start 685.558
transcript.whisperx[30].end 714.201
transcript.whisperx[30].text 就算你說的他寫在了就業服務法第60條電付我現在還要追你你有沒有回去還這一筆錢所以我希望今天各部會都很關心各個委員都很關心就業安定基金我希望就業安定基金真的不要再變成小金庫我也期許容部長就業安定基金的錢我們很關注還有所有的私人家庭也請我要再一次跟你轉達
transcript.whisperx[31].start 715.382
transcript.whisperx[31].end 742.955
transcript.whisperx[31].text 他們希望看到你能夠為失能者家庭一起發聲你們在當紅委員的過程當中為外勞的人權我尊重但是他們也擔心一昧的只幫外勞說話沒有去照顧到本勞以及所謂的失能者家庭這個平衡點能不能重新拿捏我並不是只支持外勞移工我是支持勞工
transcript.whisperx[32].start 743.835
transcript.whisperx[32].end 744.396
transcript.whisperx[32].text 最後我還有一個問題想請問你
transcript.whisperx[33].start 767.896
transcript.whisperx[33].end 772.018
transcript.whisperx[33].text 目前勞動部目前對於現在的這個併購的方案目前拿出來的併購的方案我們當然現在還
transcript.whisperx[34].start 799.073
transcript.whisperx[34].end 799.093
transcript.whisperx[34].text 羅廷瑋
IVOD_ID 157828
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/157828
日期 2024-12-04
會議資料.會議代碼 委員會-11-2-26-12
會議資料.屆 11
會議資料.會期 2
會議資料.會次 12
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12次全體委員會議
影片種類 Clip
開始時間 2024-12-04T13:56:15+08:00
結束時間 2024-12-04T14:09:47+08:00
支援功能[0] ai-transcript