iVOD / 157900

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/66a8e59aed318d21e42cc16888bb80b2d143e698449c70dc90a1da7b6f6bcb9de3ceebef6e54c8ad5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 13:49:26 - 13:58:53
影片長度 567
會議時間 2024-12-05T09:00:00+08:00
會議名稱 立法院第11屆第2會期司法及法制委員會第18次全體委員會議(事由:一、併案審查 (一)委員賴士葆等31人擬具「公務人員退休資遣撫卹法第三十七條條文修正草案」案。 (二)委員賴士葆等19人擬具「公務人員退休資遣撫卹法第六十七條條文修正草案」案。 (三)委員張智倫等16人擬具「公務人員退休資遣撫卹法第三十七條條文修正草案」案。 (四)委員張嘉郡等23人擬具「公務人員退休資遣撫卹法第三十七條條文修正草案」案。 (五)委員賴士葆等26人擬具「公務人員退休資遣撫卹法第三十八條條文修正草案」案。 (六)委員徐欣瑩等20人擬具「公務人員退休資遣撫卹法第三十七條、第三十八條及第六十七條條文修正草案」案。 (七)委員邱鎮軍等25人擬具「公務人員退休資遣撫卹法第三十七條條文修正草案」案。 (八)國民黨黨團擬具「公務人員退休資遣撫卹法第三十七條條文修正草案」案。 (九)委員林思銘等26人擬具「公務人員退休資遣撫卹法第六十七條條文修正草案」案。 (十)委員陳超明等19人擬具「公務人員退休資遣撫卹法第三十七條條文修正草案」案。 (十一)委員許宇甄等20人擬具「公務人員退休資遣撫卹法第三十七條及第六十七條條文修正草案」案。 (十二)委員黃健豪等18人擬具「公務人員退休資遣撫卹法第六十七條條文修正草案」案。 (十三)委員張智倫等19人擬具「公務人員退休資遣撫卹法第三條、第八條及第三十七條條文修正草案」案。 (十四)委員馬文君等20人擬具「公務人員退休資遣撫卹法第三十七條條文修正草案」案。 (十五)委員傅崐萁等21人擬具「公務人員退休資遣撫卹法第六十七條條文修正草案」案。 (十六)委員王鴻薇等25人擬具「公務人員退休資遣撫卹法第三十七條及第六十七條條文修正草案」案。 (十七)委員黃建賓等16人擬具「公務人員退休資遣撫卹法第三十七條條文修正草案」案。 (十八)委員陳玉珍等16人擬具「公務人員退休資遣撫卹法第三十七條條文修正草案」案。 (十九)委員王鴻薇等19人擬具「公務人員退休資遣撫卹法第三十八條條文修正草案」案。 (二十)委員羅智強等16人擬具「公務人員退休資遣撫卹法第三十七條條文修正草案」案。 二、併案審查 (一)委員李彥秀等18人擬具「公務人員任用法第三十六條之一條文修正草案」案。 (二)委員翁曉玲等22人擬具「公務人員任用法第二十八條之一條文修正草案」案。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 5.66721875
transcript.pyannote[0].end 7.00034375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 7.16909375
transcript.pyannote[1].end 8.36721875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 8.83971875
transcript.pyannote[2].end 16.88909375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 14.32409375
transcript.pyannote[3].end 15.26909375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 17.15909375
transcript.pyannote[4].end 17.95221875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 21.52971875
transcript.pyannote[5].end 22.05284375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 22.47471875
transcript.pyannote[6].end 23.65596875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 23.97659375
transcript.pyannote[7].end 43.80471875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 44.36159375
transcript.pyannote[8].end 45.23909375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 45.23909375
transcript.pyannote[9].end 47.50034375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 45.77909375
transcript.pyannote[10].end 47.01096875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 47.50034375
transcript.pyannote[11].end 50.55471875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 48.19221875
transcript.pyannote[12].end 48.91784375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 49.87971875
transcript.pyannote[13].end 52.41096875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 51.17909375
transcript.pyannote[14].end 51.46596875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 53.03534375
transcript.pyannote[15].end 55.43159375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 56.30909375
transcript.pyannote[16].end 58.46909375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 59.59971875
transcript.pyannote[17].end 61.11846875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 61.60784375
transcript.pyannote[18].end 63.46409375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 63.86909375
transcript.pyannote[19].end 73.13346875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 73.52159375
transcript.pyannote[20].end 80.64284375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 81.21659375
transcript.pyannote[21].end 82.39784375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 83.46096875
transcript.pyannote[22].end 83.89971875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 84.62534375
transcript.pyannote[23].end 86.65034375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 86.86971875
transcript.pyannote[24].end 88.64159375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 89.16471875
transcript.pyannote[25].end 93.67034375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 94.59846875
transcript.pyannote[26].end 99.44159375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 100.01534375
transcript.pyannote[27].end 101.04471875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 101.71971875
transcript.pyannote[28].end 108.65534375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 108.94221875
transcript.pyannote[29].end 116.33346875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 116.90721875
transcript.pyannote[30].end 118.81409375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 119.57346875
transcript.pyannote[31].end 124.28159375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 124.31534375
transcript.pyannote[32].end 125.63159375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 126.25596875
transcript.pyannote[33].end 129.86721875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 130.42409375
transcript.pyannote[34].end 132.80346875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 133.68096875
transcript.pyannote[35].end 140.83596875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 141.47721875
transcript.pyannote[36].end 143.01284375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 143.38409375
transcript.pyannote[37].end 144.26159375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 145.00409375
transcript.pyannote[38].end 147.56909375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 148.42971875
transcript.pyannote[39].end 153.22221875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 153.57659375
transcript.pyannote[40].end 154.42034375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 154.90971875
transcript.pyannote[41].end 156.32721875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 157.33971875
transcript.pyannote[42].end 158.55471875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 159.11159375
transcript.pyannote[43].end 165.82784375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 166.16534375
transcript.pyannote[44].end 170.46846875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 171.05909375
transcript.pyannote[45].end 173.69159375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 174.29909375
transcript.pyannote[46].end 178.14659375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 178.53471875
transcript.pyannote[47].end 182.46659375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 182.46659375
transcript.pyannote[48].end 182.56784375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 183.09096875
transcript.pyannote[49].end 183.10784375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 183.10784375
transcript.pyannote[50].end 183.90096875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 183.90096875
transcript.pyannote[51].end 184.23846875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 183.93471875
transcript.pyannote[52].end 193.43534375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 187.71471875
transcript.pyannote[53].end 189.03096875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 193.43534375
transcript.pyannote[54].end 193.95846875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 193.50284375
transcript.pyannote[55].end 193.84034375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 193.95846875
transcript.pyannote[56].end 194.02596875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 194.02596875
transcript.pyannote[57].end 194.19471875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 194.19471875
transcript.pyannote[58].end 194.29596875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 194.29596875
transcript.pyannote[59].end 194.97096875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 194.97096875
transcript.pyannote[60].end 195.03846875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 195.03846875
transcript.pyannote[61].end 203.49284375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 203.49284375
transcript.pyannote[62].end 206.85096875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 205.39971875
transcript.pyannote[63].end 207.76221875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 208.23471875
transcript.pyannote[64].end 212.04846875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 209.50034375
transcript.pyannote[65].end 210.59721875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 211.67721875
transcript.pyannote[66].end 213.88784375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 214.54596875
transcript.pyannote[67].end 214.56284375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 214.56284375
transcript.pyannote[68].end 214.59659375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 214.59659375
transcript.pyannote[69].end 214.64721875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 214.64721875
transcript.pyannote[70].end 227.32034375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 215.03534375
transcript.pyannote[71].end 215.42346875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 215.49096875
transcript.pyannote[72].end 215.52471875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 215.62596875
transcript.pyannote[73].end 217.97159375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 219.69284375
transcript.pyannote[74].end 220.70534375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 225.49784375
transcript.pyannote[75].end 232.63596875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 232.77096875
transcript.pyannote[76].end 233.53034375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 233.69909375
transcript.pyannote[77].end 235.38659375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 237.31034375
transcript.pyannote[78].end 237.69846875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 238.20471875
transcript.pyannote[79].end 239.72346875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 241.22534375
transcript.pyannote[80].end 242.71034375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 243.36846875
transcript.pyannote[81].end 245.54534375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 245.84909375
transcript.pyannote[82].end 247.95846875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 248.07659375
transcript.pyannote[83].end 251.72159375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 251.95784375
transcript.pyannote[84].end 255.97409375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 255.97409375
transcript.pyannote[85].end 256.66596875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 256.66596875
transcript.pyannote[86].end 256.71659375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 256.85159375
transcript.pyannote[87].end 256.86846875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 256.86846875
transcript.pyannote[88].end 258.75846875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 257.77971875
transcript.pyannote[89].end 258.55596875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 258.82596875
transcript.pyannote[90].end 272.56221875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 261.66096875
transcript.pyannote[91].end 262.31909375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 266.50409375
transcript.pyannote[92].end 268.64721875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 269.77784375
transcript.pyannote[93].end 270.82409375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 273.42284375
transcript.pyannote[94].end 284.66159375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 278.51909375
transcript.pyannote[95].end 279.71721875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 283.31159375
transcript.pyannote[96].end 284.61096875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 285.13409375
transcript.pyannote[97].end 289.55534375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 290.28096875
transcript.pyannote[98].end 290.77034375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 291.31034375
transcript.pyannote[99].end 292.99784375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 294.22971875
transcript.pyannote[100].end 297.92534375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 298.60034375
transcript.pyannote[101].end 306.95346875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 307.29096875
transcript.pyannote[102].end 308.82659375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 309.90659375
transcript.pyannote[103].end 312.45471875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 312.53909375
transcript.pyannote[104].end 313.72034375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 314.90159375
transcript.pyannote[105].end 317.19659375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 317.58471875
transcript.pyannote[106].end 322.81596875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 321.61784375
transcript.pyannote[107].end 343.13346875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 322.90034375
transcript.pyannote[108].end 328.68846875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 331.40534375
transcript.pyannote[109].end 332.56971875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 334.76346875
transcript.pyannote[110].end 334.81409375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 334.96596875
transcript.pyannote[111].end 335.33721875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 341.76659375
transcript.pyannote[112].end 355.65471875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 343.16721875
transcript.pyannote[113].end 343.75784375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 355.82346875
transcript.pyannote[114].end 357.96659375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 358.13534375
transcript.pyannote[115].end 360.49784375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 360.75096875
transcript.pyannote[116].end 365.99909375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 366.42096875
transcript.pyannote[117].end 368.91846875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 366.82596875
transcript.pyannote[118].end 367.61909375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 368.19284375
transcript.pyannote[119].end 368.93534375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 368.93534375
transcript.pyannote[120].end 369.18846875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 369.18846875
transcript.pyannote[121].end 369.30659375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 369.30659375
transcript.pyannote[122].end 369.32346875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 369.32346875
transcript.pyannote[123].end 369.42471875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 369.42471875
transcript.pyannote[124].end 369.47534375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 369.47534375
transcript.pyannote[125].end 375.61784375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 369.50909375
transcript.pyannote[126].end 369.82971875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 370.92659375
transcript.pyannote[127].end 372.52971875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 374.04846875
transcript.pyannote[128].end 374.47034375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 375.61784375
transcript.pyannote[129].end 376.71471875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 377.45721875
transcript.pyannote[130].end 379.70159375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 380.42721875
transcript.pyannote[131].end 383.38034375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 384.15659375
transcript.pyannote[132].end 386.35034375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 387.22784375
transcript.pyannote[133].end 388.24034375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 389.21909375
transcript.pyannote[134].end 390.65346875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 391.76721875
transcript.pyannote[135].end 396.34034375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 392.17221875
transcript.pyannote[136].end 392.71221875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 397.03221875
transcript.pyannote[137].end 398.87159375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 399.15846875
transcript.pyannote[138].end 405.25034375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 405.90846875
transcript.pyannote[139].end 408.49034375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 409.06409375
transcript.pyannote[140].end 409.94159375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 410.34659375
transcript.pyannote[141].end 412.00034375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 412.48971875
transcript.pyannote[142].end 412.81034375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 413.29971875
transcript.pyannote[143].end 424.52159375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 425.23034375
transcript.pyannote[144].end 428.84159375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 429.22971875
transcript.pyannote[145].end 436.11471875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 436.60409375
transcript.pyannote[146].end 439.48971875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 439.60784375
transcript.pyannote[147].end 442.72971875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 443.05034375
transcript.pyannote[148].end 447.75846875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 448.46721875
transcript.pyannote[149].end 452.09534375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 453.46221875
transcript.pyannote[150].end 454.81221875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 455.55471875
transcript.pyannote[151].end 457.25909375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 458.22096875
transcript.pyannote[152].end 459.46971875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 460.04346875
transcript.pyannote[153].end 462.64221875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 462.74346875
transcript.pyannote[154].end 465.52784375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 465.96659375
transcript.pyannote[155].end 471.45096875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 472.07534375
transcript.pyannote[156].end 474.82596875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 475.36596875
transcript.pyannote[157].end 479.26409375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 479.68596875
transcript.pyannote[158].end 485.42346875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 483.98909375
transcript.pyannote[159].end 484.15784375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 485.42346875
transcript.pyannote[160].end 493.96221875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 485.44034375
transcript.pyannote[161].end 486.79034375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 487.63409375
transcript.pyannote[162].end 489.08534375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 490.11471875
transcript.pyannote[163].end 491.39721875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 491.93721875
transcript.pyannote[164].end 492.76409375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 493.96221875
transcript.pyannote[165].end 496.08846875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 496.49346875
transcript.pyannote[166].end 502.45034375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 502.45034375
transcript.pyannote[167].end 503.90159375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 503.17596875
transcript.pyannote[168].end 503.93534375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 503.93534375
transcript.pyannote[169].end 503.95221875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 503.95221875
transcript.pyannote[170].end 506.85471875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 504.23909375
transcript.pyannote[171].end 509.18346875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 508.25534375
transcript.pyannote[172].end 517.68846875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 509.74034375
transcript.pyannote[173].end 511.34346875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 518.00909375
transcript.pyannote[174].end 520.92846875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 521.29971875
transcript.pyannote[175].end 525.13034375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 525.46784375
transcript.pyannote[176].end 527.39159375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 528.03284375
transcript.pyannote[177].end 530.09159375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 530.44596875
transcript.pyannote[178].end 531.28971875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 531.34034375
transcript.pyannote[179].end 534.05721875
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 534.37784375
transcript.pyannote[180].end 535.52534375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 536.09909375
transcript.pyannote[181].end 539.50784375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 540.25034375
transcript.pyannote[182].end 546.39284375
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 546.59534375
transcript.pyannote[183].end 549.32909375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 551.38784375
transcript.pyannote[184].end 551.82659375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 552.02909375
transcript.pyannote[185].end 554.34096875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 554.61096875
transcript.pyannote[186].end 555.47159375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 555.92721875
transcript.pyannote[187].end 558.61034375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 558.93096875
transcript.pyannote[188].end 559.80846875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 560.02784375
transcript.pyannote[189].end 561.37784375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 561.78284375
transcript.pyannote[190].end 563.03159375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 563.43659375
transcript.pyannote[191].end 565.15784375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 565.34346875
transcript.pyannote[192].end 565.83284375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 566.27159375
transcript.pyannote[193].end 566.86221875
transcript.whisperx[0].start 5.714
transcript.whisperx[0].end 6.234
transcript.whisperx[0].text 條文賴士葆等19人擬具:「公務人員退休資遣撫卹
transcript.whisperx[1].start 21.59
transcript.whisperx[1].end 43.375
transcript.whisperx[1].text 委員吳安來部長吳安吶這個我們大家都是學者出身吶我們就講一些講實際的數字吶吼你今天從頭到尾一直在講一直在講一句話我們聽了好幾次吶說如果stop here請問如果現在年改就stop here然後這樣子要提前多久破產
transcript.whisperx[2].start 44.375
transcript.whisperx[2].end 45.316
transcript.whisperx[2].text 三)委員張智倫等16人擬具 «公務人員退休資遣
transcript.whisperx[3].start 59.599
transcript.whisperx[3].end 61.019
transcript.whisperx[3].text 撫卹法第十四條條文修正草案案(事由.立法院第11屆第2會期司法及法制委員會第18次全體委員會及法制委員會及法制委員會等19人擬具
transcript.whisperx[4].start 83.456
transcript.whisperx[4].end 83.856
transcript.whisperx[4].text 撫卹法第18條條文修正草案.立法院第12屆第13條條文修正草案案。
transcript.whisperx[5].start 94.659
transcript.whisperx[5].end 98.903
transcript.whisperx[5].text 你不要以為你部長在這裡人市場底下做光做火多了你不敢退啊你們的人不敢退啊新的人上不來啊都被你們擋住了你聽我講完都被你擋住了沒有位子去了被人擋住了沒有位子去了就是這樣啊你擋住年輕的位子啦你知道嗎你就是這樣子
transcript.whisperx[6].start 119.58
transcript.whisperx[6].end 120
transcript.whisperx[6].text 撫卹法第六十七條條文修正草案案 案。
transcript.whisperx[7].start 148.679
transcript.whisperx[7].end 152.804
transcript.whisperx[7].text 現在教授薪水跟我那時候離開學校差不多沒有多少所以 也是破產啦
transcript.whisperx[8].start 157.386
transcript.whisperx[8].end 165.453
transcript.whisperx[8].text 撫卹法第六十七條條文修正草案.一)委員賴士葆等19人擬具:「公務人員退休資遣撫卹法第六十七條條文修正草案.一)委員張智倫等16人擬具:「公務人員退休資遣撫卹法第六十七條條文修正草案.一)委員
transcript.whisperx[9].start 183.229
transcript.whisperx[9].end 183.469
transcript.whisperx[9].text 三)委員張智倫等16人擬具
transcript.whisperx[10].start 208.631
transcript.whisperx[10].end 231.828
transcript.whisperx[10].text 老保他本身就是自己本身會去做處理的話你贊不贊成你贊不贊成你不贊成嗎老公還跟你抗議喔老公跟你抗議喔老公抗議喔我想政府一定會必須要處理勞勞保這邊的我早上已經講了勞動部長昨天在立法院公開承諾絕對不會動勞保所有的勞工一塊錢
transcript.whisperx[11].start 237.346
transcript.whisperx[11].end 239.607
transcript.whisperx[11].text 政府負最後的責任很好沒有人反對請問你同意的話能不能用在公教人員可不可以政府負最終責任絕對不會倒一百四十年也不會倒今天才有意義今天站在這裡才有意義否則你都會說的司部長都會說的還是會倒啊還是會倒啊
transcript.whisperx[12].start 259.097
transcript.whisperx[12].end 270.415
transcript.whisperx[12].text 負擔公務人基金的最後一個責任但是我們要政府要不要負擔公務責任要不要法律是這樣規定的要不要法律本來就規定要不要如果這樣子的話我們要窮盡各種可能性如果這樣子就不會倒啦
transcript.whisperx[13].start 273.462
transcript.whisperx[13].end 274.963
transcript.whisperx[13].text 三)委員張智倫等16人擬具:「公務人員退休資遣撫卹法第六十七條條文修正草案.一)委員張智倫等16人擬具
transcript.whisperx[14].start 298.686
transcript.whisperx[14].end 299.066
transcript.whisperx[14].text 三)委員張智倫等16人擬具
transcript.whisperx[15].start 314.946
transcript.whisperx[15].end 340.485
transcript.whisperx[15].text 但是你剛才講了一句話政府負最終責任所以不會倒所以這叫假議題我想大委員這樣假議題可能不是當然是這樣子所謂政府負咱最終責任是指我們都要先努力讓這個責任永續經營就應該負自己的責任最後不得已才有政府負最終責任我想法律的邏輯應該是這樣子
transcript.whisperx[16].start 341.946
transcript.whisperx[16].end 342.427
transcript.whisperx[16].text 三)委員張智倫等16人擬具
transcript.whisperx[17].start 366.485
transcript.whisperx[17].end 369.807
transcript.whisperx[17].text 三)委員張智倫等16人擬具 «公務人員退休資遣撫卹法第六十七條條文修正草案案案案案案
transcript.whisperx[18].start 391.963
transcript.whisperx[18].end 395.044
transcript.whisperx[18].text 撫卹法第十七條條文修正草案.一)立法院第18次全體委員會第18次全體委員會第18次全體委員會第18次全體委員會第18次全體委員會
transcript.whisperx[19].start 409.188
transcript.whisperx[19].end 411.85
transcript.whisperx[19].text 立法院第11屆第12會期司法及法制委員會第18次全體委員會及法制委員會第18次全體委員會第18次全體委員會第18次全體委員會第18次全體委員會
transcript.whisperx[20].start 425.622
transcript.whisperx[20].end 442.63
transcript.whisperx[20].text 勞保可以每年補一千多億為什麼公務的退府基金到現在為止都還不需要政府撥補然後你不願意給他stop herestop here也只到一百三十五年距離現在也有十幾年的光景了你是在緊張什麼對不對所以這個東西扯太遠只剩下一個政治鬥爭你們現在這個讓軍公教很心寒的就是
transcript.whisperx[21].start 453.513
transcript.whisperx[21].end 456.005
transcript.whisperx[21].text 獨厚勞工然後專門殺軍工匠
transcript.whisperx[22].start 458.397
transcript.whisperx[22].end 470.846
transcript.whisperx[22].text 我為什麼早上提了民進黨在過去的兩千年開始台灣真的大幅的民主化之後到現在二十從兩千年開始佔據二十五年的光景民進黨執政十七年軍公教都是大家的子民啊中華民國的子民不是說軍公教一定挺誰挺誰是部長這個東西要拿掉啦大家學者出身要講真話
transcript.whisperx[23].start 484.676
transcript.whisperx[23].end 484.856
transcript.whisperx[23].text 三)委員張智倫等16人擬具
transcript.whisperx[24].start 502.706
transcript.whisperx[24].end 512.87
transcript.whisperx[24].text 對我還講到大家先自行自己的基本責任也不夠就是政府要負最終的這是法律的規定政府要負最終的責任就是大家都不會倒你們政府講那麼多大家就安心了嘛啊怎麼都不會倒啦啊所以可以stop here 不會倒啦差五年沒有差那麼多啦有差那麼多嗎 沒有因為你為了這五年
transcript.whisperx[25].start 528.075
transcript.whisperx[25].end 530.778
transcript.whisperx[25].text 撫卹法第18次全體委員會第18次全體委員會第18次全體委員會第18次全體委員會第18次全體委員會第18次全體委員會
transcript.whisperx[26].start 551.428
transcript.whisperx[26].end 552.409
transcript.whisperx[26].text 撫卹法第十七條條文修正草案.
IVOD_ID 157900
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/157900
日期 2024-12-05
會議資料.會議代碼 委員會-11-2-36-18
會議資料.屆 11
會議資料.會期 2
會議資料.會次 18
會議資料.種類 委員會
會議資料.委員會代碼[0] 36
會議資料.標題 第11屆第2會期司法及法制委員會第18次全體委員會議
影片種類 Clip
開始時間 2024-12-05T13:49:26+08:00
結束時間 2024-12-05T13:58:53+08:00
支援功能[0] ai-transcript