iVOD / 157894

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/66a8e59aed318d21f2a743cba192719bd143e698449c70dc871116ad264925f569935296c30cbcfd5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃國昌
委員發言時間 13:02:08 - 13:16:30
影片長度 862
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_01
transcript.pyannote[0].start 5.26221875
transcript.pyannote[0].end 9.44721875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 10.08846875
transcript.pyannote[1].end 12.38346875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 13.07534375
transcript.pyannote[2].end 23.28471875
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 13.15971875
transcript.pyannote[3].end 13.49721875
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 23.95971875
transcript.pyannote[4].end 24.63471875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 36.51471875
transcript.pyannote[5].end 37.59471875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 39.24846875
transcript.pyannote[6].end 43.07909375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 44.95221875
transcript.pyannote[7].end 50.58846875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 51.09471875
transcript.pyannote[8].end 64.37534375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 64.56096875
transcript.pyannote[9].end 71.71596875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 65.18534375
transcript.pyannote[10].end 65.70846875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 70.36596875
transcript.pyannote[11].end 71.37846875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 71.91846875
transcript.pyannote[12].end 74.51721875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 73.55534375
transcript.pyannote[13].end 73.87596875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 74.51721875
transcript.pyannote[14].end 74.53409375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 75.86721875
transcript.pyannote[15].end 75.88409375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 75.88409375
transcript.pyannote[16].end 78.66846875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 79.34346875
transcript.pyannote[17].end 80.55846875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 81.33471875
transcript.pyannote[18].end 85.08096875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 86.12721875
transcript.pyannote[19].end 87.62909375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 88.37159375
transcript.pyannote[20].end 89.58659375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 90.78471875
transcript.pyannote[21].end 91.32471875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 92.33721875
transcript.pyannote[22].end 93.02909375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 94.37909375
transcript.pyannote[23].end 96.87659375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 97.60221875
transcript.pyannote[24].end 99.40784375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 100.75784375
transcript.pyannote[25].end 101.33159375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 101.97284375
transcript.pyannote[26].end 104.18346875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 105.11159375
transcript.pyannote[27].end 107.44034375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 109.19534375
transcript.pyannote[28].end 110.84909375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 111.76034375
transcript.pyannote[29].end 113.90346875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 116.67096875
transcript.pyannote[30].end 118.81409375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 119.60721875
transcript.pyannote[31].end 123.60659375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 124.41659375
transcript.pyannote[32].end 127.84221875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 128.88846875
transcript.pyannote[33].end 132.83721875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 133.81596875
transcript.pyannote[34].end 136.97159375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 136.97159375
transcript.pyannote[35].end 137.14034375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 137.27534375
transcript.pyannote[36].end 137.35971875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 137.35971875
transcript.pyannote[37].end 138.03471875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 138.03471875
transcript.pyannote[38].end 139.21596875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 140.44784375
transcript.pyannote[39].end 149.71221875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 150.55596875
transcript.pyannote[40].end 152.96909375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 152.96909375
transcript.pyannote[41].end 155.24721875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 155.55096875
transcript.pyannote[42].end 155.87159375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 156.20909375
transcript.pyannote[43].end 164.08971875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 157.66034375
transcript.pyannote[44].end 159.09471875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 164.76471875
transcript.pyannote[45].end 169.75971875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 170.46846875
transcript.pyannote[46].end 171.81846875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 172.51034375
transcript.pyannote[47].end 174.99096875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 176.54346875
transcript.pyannote[48].end 187.98471875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 188.33909375
transcript.pyannote[49].end 189.21659375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 189.21659375
transcript.pyannote[50].end 189.23346875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 190.31346875
transcript.pyannote[51].end 190.97159375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 190.97159375
transcript.pyannote[52].end 191.46096875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 192.47346875
transcript.pyannote[53].end 195.89909375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 197.29971875
transcript.pyannote[54].end 200.55659375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 200.91096875
transcript.pyannote[55].end 202.42971875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 203.18909375
transcript.pyannote[56].end 204.92721875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 205.36596875
transcript.pyannote[57].end 212.16659375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 213.06096875
transcript.pyannote[58].end 217.66784375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 218.27534375
transcript.pyannote[59].end 219.42284375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 219.79409375
transcript.pyannote[60].end 221.32971875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 222.40971875
transcript.pyannote[61].end 223.25346875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 224.26596875
transcript.pyannote[62].end 227.50596875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 227.86034375
transcript.pyannote[63].end 230.18909375
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 230.18909375
transcript.pyannote[64].end 230.23971875
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 230.25659375
transcript.pyannote[65].end 230.32409375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 230.32409375
transcript.pyannote[66].end 231.89346875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 232.02846875
transcript.pyannote[67].end 236.53409375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 236.88846875
transcript.pyannote[68].end 242.18721875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 242.32221875
transcript.pyannote[69].end 243.11534375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 243.84096875
transcript.pyannote[70].end 247.01346875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 247.36784375
transcript.pyannote[71].end 249.98346875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 250.35471875
transcript.pyannote[72].end 251.06346875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 251.95784375
transcript.pyannote[73].end 254.06721875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 254.74221875
transcript.pyannote[74].end 257.29034375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 258.04971875
transcript.pyannote[75].end 265.91346875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 265.94721875
transcript.pyannote[76].end 268.54596875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 268.95096875
transcript.pyannote[77].end 269.92971875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 271.46534375
transcript.pyannote[78].end 272.76471875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 273.16971875
transcript.pyannote[79].end 274.23284375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 275.39721875
transcript.pyannote[80].end 276.86534375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 277.38846875
transcript.pyannote[81].end 281.60721875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 282.23159375
transcript.pyannote[82].end 283.14284375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 283.98659375
transcript.pyannote[83].end 284.67846875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 285.11721875
transcript.pyannote[84].end 286.14659375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 286.93971875
transcript.pyannote[85].end 287.86784375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 288.74534375
transcript.pyannote[86].end 297.52034375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 298.00971875
transcript.pyannote[87].end 300.15284375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 300.45659375
transcript.pyannote[88].end 301.82346875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 302.36346875
transcript.pyannote[89].end 303.74721875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 304.23659375
transcript.pyannote[90].end 305.73846875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 306.26159375
transcript.pyannote[91].end 307.39221875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 307.59471875
transcript.pyannote[92].end 309.04596875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 309.04596875
transcript.pyannote[93].end 309.28221875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 309.28221875
transcript.pyannote[94].end 310.66596875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 310.98659375
transcript.pyannote[95].end 311.76284375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 312.30284375
transcript.pyannote[96].end 314.85096875
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 315.49221875
transcript.pyannote[97].end 316.20096875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 316.63971875
transcript.pyannote[98].end 317.83784375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 318.98534375
transcript.pyannote[99].end 322.98471875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 323.71034375
transcript.pyannote[100].end 324.13221875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 324.63846875
transcript.pyannote[101].end 333.02534375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 333.02534375
transcript.pyannote[102].end 349.63034375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 349.63034375
transcript.pyannote[103].end 349.69784375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 350.30534375
transcript.pyannote[104].end 351.46971875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 351.67221875
transcript.pyannote[105].end 355.28346875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 356.04284375
transcript.pyannote[106].end 357.08909375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 357.76409375
transcript.pyannote[107].end 358.48971875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 359.50221875
transcript.pyannote[108].end 361.03784375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 361.52721875
transcript.pyannote[109].end 365.18909375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 365.42534375
transcript.pyannote[110].end 374.52096875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 375.78659375
transcript.pyannote[111].end 381.03471875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 381.03471875
transcript.pyannote[112].end 381.50721875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 381.50721875
transcript.pyannote[113].end 381.55784375
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 381.55784375
transcript.pyannote[114].end 381.94596875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 382.21596875
transcript.pyannote[115].end 382.23284375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 382.23284375
transcript.pyannote[116].end 386.62034375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 386.87346875
transcript.pyannote[117].end 390.13034375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 392.84721875
transcript.pyannote[118].end 395.83409375
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 396.22221875
transcript.pyannote[119].end 398.04471875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 398.73659375
transcript.pyannote[120].end 402.90471875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 403.74846875
transcript.pyannote[121].end 404.67659375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 405.79034375
transcript.pyannote[122].end 407.29221875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 408.32159375
transcript.pyannote[123].end 410.61659375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 411.10596875
transcript.pyannote[124].end 413.11409375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 413.40096875
transcript.pyannote[125].end 415.17284375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 415.96596875
transcript.pyannote[126].end 423.39096875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 423.93096875
transcript.pyannote[127].end 426.79971875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 427.10346875
transcript.pyannote[128].end 428.84159375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 429.39846875
transcript.pyannote[129].end 447.43784375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 447.89346875
transcript.pyannote[130].end 448.93971875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 449.58096875
transcript.pyannote[131].end 450.91409375
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 451.55534375
transcript.pyannote[132].end 453.78284375
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 454.13721875
transcript.pyannote[133].end 467.68784375
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 467.68784375
transcript.pyannote[134].end 469.10534375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 470.13471875
transcript.pyannote[135].end 472.44659375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 473.84721875
transcript.pyannote[136].end 478.11659375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 478.70721875
transcript.pyannote[137].end 481.62659375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 482.01471875
transcript.pyannote[138].end 485.49096875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 485.89596875
transcript.pyannote[139].end 487.22909375
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 487.53284375
transcript.pyannote[140].end 498.34971875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 498.60284375
transcript.pyannote[141].end 501.03284375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 501.96096875
transcript.pyannote[142].end 509.35221875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 510.53346875
transcript.pyannote[143].end 513.08159375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 513.68909375
transcript.pyannote[144].end 514.61721875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 515.35971875
transcript.pyannote[145].end 520.77659375
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 520.87784375
transcript.pyannote[146].end 539.71034375
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 540.41909375
transcript.pyannote[147].end 540.67221875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 541.97159375
transcript.pyannote[148].end 544.14846875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 544.46909375
transcript.pyannote[149].end 547.50659375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 550.74659375
transcript.pyannote[150].end 566.35596875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 566.74409375
transcript.pyannote[151].end 572.12721875
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 572.36346875
transcript.pyannote[152].end 573.08909375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 573.32534375
transcript.pyannote[153].end 574.81034375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 574.97909375
transcript.pyannote[154].end 576.07596875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 576.59909375
transcript.pyannote[155].end 577.61159375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 578.03346875
transcript.pyannote[156].end 580.64909375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 581.61096875
transcript.pyannote[157].end 583.87221875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 584.44596875
transcript.pyannote[158].end 594.58784375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 594.87471875
transcript.pyannote[159].end 597.22034375
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 597.43971875
transcript.pyannote[160].end 599.75159375
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 601.79346875
transcript.pyannote[161].end 602.29971875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 602.89034375
transcript.pyannote[162].end 604.00409375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 604.81409375
transcript.pyannote[163].end 607.85159375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 608.13846875
transcript.pyannote[164].end 612.74534375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 617.89221875
transcript.pyannote[165].end 617.90909375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 617.90909375
transcript.pyannote[166].end 618.82034375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 619.74846875
transcript.pyannote[167].end 620.11971875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 621.73971875
transcript.pyannote[168].end 628.18596875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 629.02971875
transcript.pyannote[169].end 633.04596875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 633.31596875
transcript.pyannote[170].end 647.25471875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 647.38971875
transcript.pyannote[171].end 655.89471875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 650.81534375
transcript.pyannote[172].end 651.40596875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 651.40596875
transcript.pyannote[173].end 651.47346875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 656.35034375
transcript.pyannote[174].end 656.38409375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 656.38409375
transcript.pyannote[175].end 664.53471875
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 665.19284375
transcript.pyannote[176].end 673.66409375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 673.98471875
transcript.pyannote[177].end 682.55721875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 683.16471875
transcript.pyannote[178].end 697.98096875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 698.26784375
transcript.pyannote[179].end 700.19159375
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 698.89221875
transcript.pyannote[180].end 699.93846875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 700.25909375
transcript.pyannote[181].end 707.36346875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 707.58284375
transcript.pyannote[182].end 709.91159375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 710.92409375
transcript.pyannote[183].end 713.87721875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 715.29471875
transcript.pyannote[184].end 725.92596875
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 726.11159375
transcript.pyannote[185].end 726.16221875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 726.16221875
transcript.pyannote[186].end 734.38034375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 734.51534375
transcript.pyannote[187].end 747.05346875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 744.64034375
transcript.pyannote[188].end 745.06221875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 747.20534375
transcript.pyannote[189].end 755.27159375
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 747.49221875
transcript.pyannote[190].end 748.06596875
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 752.43659375
transcript.pyannote[191].end 755.20409375
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 755.27159375
transcript.pyannote[192].end 755.30534375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 755.30534375
transcript.pyannote[193].end 755.38971875
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 755.38971875
transcript.pyannote[194].end 758.30909375
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 758.88284375
transcript.pyannote[195].end 761.31284375
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 760.09784375
transcript.pyannote[196].end 760.43534375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 761.12721875
transcript.pyannote[197].end 761.63346875
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 761.63346875
transcript.pyannote[198].end 763.06784375
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 763.06784375
transcript.pyannote[199].end 771.91034375
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 770.89784375
transcript.pyannote[200].end 776.02784375
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 776.28096875
transcript.pyannote[201].end 777.79971875
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 778.40721875
transcript.pyannote[202].end 780.07784375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 781.73159375
transcript.pyannote[203].end 788.24534375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 788.86971875
transcript.pyannote[204].end 790.74284375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 791.08034375
transcript.pyannote[205].end 800.14221875
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 798.87659375
transcript.pyannote[206].end 799.93971875
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 799.93971875
transcript.pyannote[207].end 799.95659375
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 800.59784375
transcript.pyannote[208].end 803.26409375
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 804.15846875
transcript.pyannote[209].end 812.32596875
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 812.62971875
transcript.pyannote[210].end 814.50284375
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 814.70534375
transcript.pyannote[211].end 818.48534375
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 819.10971875
transcript.pyannote[212].end 819.81846875
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 819.97034375
transcript.pyannote[213].end 820.00409375
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 820.00409375
transcript.pyannote[214].end 820.83096875
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 820.83096875
transcript.pyannote[215].end 820.84784375
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 823.21034375
transcript.pyannote[216].end 824.12159375
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 825.97784375
transcript.pyannote[217].end 827.85096875
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 828.25596875
transcript.pyannote[218].end 842.11034375
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 842.51534375
transcript.pyannote[219].end 843.89909375
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 844.08471875
transcript.pyannote[220].end 858.91784375
transcript.pyannote[221].speaker SPEAKER_03
transcript.pyannote[221].start 858.91784375
transcript.pyannote[221].end 859.60971875
transcript.pyannote[222].speaker SPEAKER_03
transcript.pyannote[222].start 860.04846875
transcript.pyannote[222].end 861.41534375
transcript.whisperx[0].start 5.75
transcript.whisperx[0].end 24.435
transcript.whisperx[0].text 謝謝主席,是不是可以麻煩有請我們的權敘部施能傑施部長公務人員退休撫卹基金管理局陳局長那還有我們的內政部消防署的鄭主任鄭主任
transcript.whisperx[1].start 36.787
transcript.whisperx[1].end 50.244
transcript.whisperx[1].text 三位好第一個針對有關於公務人員在辦公室自殺身亡現在依法可不可以辦理因公服序
transcript.whisperx[2].start 51.541
transcript.whisperx[2].end 74.297
transcript.whisperx[2].text 跟委員報告我們現在有一個程序任何因公撫蓄都是由機關提報以後送到部裡面那部裡面會有專案小組這一項的做法是這樣由專案小組來認定但是我還是跟委員補充報告過去我們自殺一般是就當成病故死亡例上是這樣講的我們接下來往後看因為讓整個社會都非常難過非常悲憤
transcript.whisperx[3].start 81.377
transcript.whisperx[3].end 105.673
transcript.whisperx[3].text 我們勞動部勞發署北分署的公務員因為在職場遭受了霸凌不幸輕生了當時在11月19號的時候我們的勞動部說他們肯定他的勞苦奉獻會給他勞動部勞動獎章當然給他勞動獎章
transcript.whisperx[4].start 111.849
transcript.whisperx[4].end 137.668
transcript.whisperx[4].text 此時此刻還有什麼意義?」大家或許都會有這個問號勞動部進一步說會向考試院爭取認定因公傷亡的公務員撫蓄補償那目前勞動部的這個案子送到考試院沒有?我的意見 至少我們部裡面沒有接到那針對勞動部說
transcript.whisperx[5].start 140.489
transcript.whisperx[5].end 168.814
transcript.whisperx[5].text 他要去爭取認定因公傷亡部長您的看法如何我跟委員報告我想這是一個法制的一個程序他只要送來我們就會開會討論所以完全按照委員會的討論對委員會討論是不是要本於法律對是本於法律嗎對來看一下公務人員退休資遣撫卹法第52條的規定自殺死亡比照病故或意外死亡認定這個就是剛剛部長
transcript.whisperx[6].start 170.506
transcript.whisperx[6].end 194.792
transcript.whisperx[6].text 你所講的內容嗎?那所以現在勞動部是在講空話嗎?不是很清楚勞動部當初的一個講法不過我們站在部裡面的立場就是有任何希望變成因公腐敘就由機關報來讓我們組成狀態小組根據法律去審查我希望我們的考試院在進行這件事情的審議的時候
transcript.whisperx[7].start 197.495
transcript.whisperx[7].end 218.472
transcript.whisperx[7].text 雖然在法條的規定上認為說如果是自殺的話他不會用因公撫卹自殺的話我們基本上是比照病故或意外死亡的方式來處理因為部長應該也很熟悉依照公務人員退休之前撫卹法第53條第56條的規定他撫卹
transcript.whisperx[8].start 224.335
transcript.whisperx[8].end 250.767
transcript.whisperx[8].text 最後給他們遺族的金額事實上差異會蠻大的到底是因公還是在自殺的情況之下認為意外身故但我希望藉由這個質詢幫忙請命的事情是什麼幫忙請命的事情是說如果他不是因為自己其他的因素選擇結束自己的生命而是
transcript.whisperx[9].start 251.994
transcript.whisperx[9].end 269.282
transcript.whisperx[9].text 他在工作的職場上面因為遭受到長官的霸凌沒有辦法接受這麼巨大的身心壓力而選擇結束自己生命的話這個時候來請部長看一下53條53條第二項第二款的規定
transcript.whisperx[10].start 275.444
transcript.whisperx[10].end 299.681
transcript.whisperx[10].text 在辦公場所發生意外或危險事故或遭受暴力事件以致死亡。」我希望我們的選區部在審定我希望未來不要有相同的案子我希望未來不要有相同的案子但是恐怕要跟單純的自殺要做一個區別的對待
transcript.whisperx[11].start 300.663
transcript.whisperx[11].end 301.023
transcript.whisperx[11].text 法定人數不足
transcript.whisperx[12].start 323.772
transcript.whisperx[12].end 349.326
transcript.whisperx[12].text 在撫蓄事由的認定上面全序部必須要做出比較合理的認定部長您贊同嗎我想法律有一些不同的條款那我們在委員會討論的時候就根據機關送來的解釋或者相關的事證人然後由這個專案小組去處理我想這個委員應該也很能夠提亮我這樣的一個講法當然啦我只希望
transcript.whisperx[13].start 350.807
transcript.whisperx[13].end 372.366
transcript.whisperx[13].text 勞動部不是只會對外講空話講漂亮話就要落實做好對於不幸往生這位年輕的公務員遺族的保障這個是我質詢的重點等你們認定出來結果出來了以後看是不是可以適時的讓
transcript.whisperx[14].start 375.831
transcript.whisperx[14].end 404.264
transcript.whisperx[14].text 本委員會的委員大家知道你們認定的基準認定的結果最後是什麼這樣應該沒有問題吧等我們這個案子送來一定會按程序處理來接下來請消防署的同仁我上次在開公聽會的時候我問說因為我們目前公務人員保障法下面所設的安慰辦法訂得太爛了
transcript.whisperx[15].start 405.931
transcript.whisperx[15].end 428.019
transcript.whisperx[15].text 十年都沒有修啊所以很多基層的警消事實上他們是要爭取把它放到治安法裡面那消防署不肯消防署說啊我們在消防法裡面設專章來保護他們的安全那我們11月的時候消防法修正三讀通過
transcript.whisperx[16].start 429.488
transcript.whisperx[16].end 450.544
transcript.whisperx[16].text 那我們總統日前也公告但問題是施行細則由你們消防署來定我上一次針對於警消同仁權益的保障召開公聽會的時候你們消防署的同仁跟我說施行日期要等到五年要等到五年這個計畫有沒有改變
transcript.whisperx[17].start 452.039
transcript.whisperx[17].end 453.36
transcript.whisperx[17].text 在我這一場公聽會舉辦完了以後我在
transcript.whisperx[18].start 473.888
transcript.whisperx[18].end 500.703
transcript.whisperx[18].text 考試委員同意權行使的程序上把這件事情正式的拉上檯面以後第二天我看到內政部急急忙忙發了新聞稿說六個月內會修正相關的執法同步施行所以現在行政院針對有關於消防法的保障現在六個月就可以公告施行了對不對
transcript.whisperx[19].start 502.052
transcript.whisperx[19].end 502.953
transcript.whisperx[19].text 三)委員張智倫等16人擬具
transcript.whisperx[20].start 515.424
transcript.whisperx[20].end 516.504
transcript.whisperx[20].text 三)委員張智倫等16人擬具
transcript.whisperx[21].start 542.218
transcript.whisperx[21].end 547.072
transcript.whisperx[21].text 接下來請教一下我們這個退府基金的局長
transcript.whisperx[22].start 550.785
transcript.whisperx[22].end 580.085
transcript.whisperx[22].text 之前全序部在今年3月的書面報告因為我們在去年7月1號的時候新進的公務同仁我們都從確定給付制改採成確定提撥制了用個人退休金專戶因此退撫基金的這個水庫裡因為沒有新的錢可以流進來所以就必須政府要去撥補那個時候全序部所提出來的書面報告
transcript.whisperx[23].start 582.166
transcript.whisperx[23].end 596.834
transcript.whisperx[23].text 針對有關於撥補的額度有十年、十五年、二十年三種不一樣的方案。你看我們如果分二十年撥補會比分十年撥補政府會多付710億這個是全巨部的報告應該沒有錯吧?是嗎?但問題來了
transcript.whisperx[24].start 604.878
transcript.whisperx[24].end 627.807
transcript.whisperx[24].text 我們基層的軍公教啊就出來抗議啊行政院為什麼沒有依照十年的方案啊撥補退輔基金可以啊是豬友分年撥補這個都一定是按照法律來做只是撥補的期層呢當然站在
transcript.whisperx[25].start 629.373
transcript.whisperx[25].end 654.922
transcript.whisperx[25].text 全區部跟我們有一個監理會會期待說越快撥補越好那我們就把根據那個10年的錢送到行政院行政院會在總預算裡面去討論那我想很多單位都跟行政院要錢就行政院綜合考量那最後呢大概今年明年開始要選擇用是20年的那個錢撥補進來所以我想過程是這樣一個所以未來都還是用20年撥補是不是我們會希望行政院未來至少就是用這個為最低的底線應該這樣講
transcript.whisperx[26].start 656.823
transcript.whisperx[26].end 681.779
transcript.whisperx[26].text 來我為什麼請局長上來我們來看一下審計部一百一十二年度中央政府總決算副主單位決算的審核報告在這個審核報告當中在這個審核報告當中我上面寫拒付拒付其實就是你們局裡面付的你們局裡面付的是什麼已經召開政府編列預算撥補公教人員退府基金執行事宜會議
transcript.whisperx[27].start 683.48
transcript.whisperx[27].end 697.525
transcript.whisperx[27].text 學習部及教育部依該會的決議每年度應該撥補公教人員的額數分別是194億跟123億合計317億這個是10年的撥補方案嗎?沒有錯這是補補裡面的回覆那你們回覆說未來會依照會議的決議繼續辦理現在我的問題就來了就是說我從審計部的報告裡面看到
transcript.whisperx[28].start 710.947
transcript.whisperx[28].end 711.647
transcript.whisperx[28].text 三)委員賴士葆等19人擬具
transcript.whisperx[29].start 737.734
transcript.whisperx[29].end 738.494
transcript.whisperx[29].text 條文賴士葆等19人擬具:「公務人員退休資遣
transcript.whisperx[30].start 759.296
transcript.whisperx[30].end 768.362
transcript.whisperx[30].text 會議的決議分十年撥補嗎?然後到行政院了以後改變成二十年撥補嗎?我事實上只希望利用這次詢答的機會讓大家知道問題的關鍵在哪裡因為你如果選序部也好
transcript.whisperx[31].start 781.769
transcript.whisperx[31].end 802.902
transcript.whisperx[31].text 退府基金的管理局也好都是按照會議的決議提上去的話那問題的關鍵就在行政院問題的關鍵如果在行政院問你們考試院對你們也不公平因為我只要確認你們當初的確是按照會議的決議給提上去的只是到行政院按照部長的說法他們有不一樣的考量
transcript.whisperx[32].start 804.209
transcript.whisperx[32].end 805.01
transcript.whisperx[32].text 三(委員張智倫等16人擬具
transcript.whisperx[33].start 825.981
transcript.whisperx[33].end 827.342
transcript.whisperx[33].text 三)委員張智倫等19人擬具
transcript.whisperx[34].start 842.591
transcript.whisperx[34].end 843.352
transcript.whisperx[34].text 條文賴士葆等19人擬具
IVOD_ID 157894
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/157894
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 2024-12-05T13:02:08+08:00
結束時間 2024-12-05T13:16:30+08:00
支援功能[0] ai-transcript