iVOD / 163986

Field Value
IVOD_ID 163986
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163986
日期 2025-10-09
會議資料.會議代碼 委員會-11-4-36-2
會議資料.會議代碼:str 第11屆第4會期司法及法制委員會第2次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 2
會議資料.種類 委員會
會議資料.委員會代碼[0] 36
會議資料.委員會代碼:str[0] 司法及法制委員會
會議資料.標題 第11屆第4會期司法及法制委員會第2次全體委員會議
影片種類 Clip
開始時間 2025-10-09T11:35:27+08:00
結束時間 2025-10-09T11:49:07+08:00
影片長度 00:13:40
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/0913948005eacb62eb27a2d6cae20016119d4e8153da54efdcf33aa1b58936823c5bd6785be991ac5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 羅智強
委員發言時間 11:35:27 - 11:49:07
會議時間 2025-10-09T09:00:00+08:00
會議名稱 立法院第11屆第4會期司法及法制委員會第2次全體委員會議(事由:邀請考試院秘書長、考選部部長、銓敘部部長及公務人員保障暨培訓委員會主任委員列席報告業務概況及立法計畫,並備質詢。 【10月8日及9日兩天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.89159375
transcript.pyannote[0].end 5.95409375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 10.59471875
transcript.pyannote[1].end 11.16846875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 10.62846875
transcript.pyannote[2].end 11.48909375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 12.67034375
transcript.pyannote[3].end 13.39596875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 13.66596875
transcript.pyannote[4].end 17.69909375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 18.81284375
transcript.pyannote[5].end 19.26846875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 19.87596875
transcript.pyannote[6].end 43.43346875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 25.52909375
transcript.pyannote[7].end 26.03534375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 43.43346875
transcript.pyannote[8].end 49.50846875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 49.50846875
transcript.pyannote[9].end 49.52534375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 49.74471875
transcript.pyannote[10].end 52.59659375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 53.01846875
transcript.pyannote[11].end 54.52034375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 55.22909375
transcript.pyannote[12].end 64.76346875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 65.94471875
transcript.pyannote[13].end 66.94034375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 66.99096875
transcript.pyannote[14].end 105.83721875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 107.79471875
transcript.pyannote[15].end 122.12159375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 121.14284375
transcript.pyannote[16].end 147.36659375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 127.65659375
transcript.pyannote[17].end 127.74096875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 127.87596875
transcript.pyannote[18].end 127.89284375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 147.72096875
transcript.pyannote[19].end 153.62721875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 154.60596875
transcript.pyannote[20].end 155.23034375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 157.71096875
transcript.pyannote[21].end 158.99346875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 159.02721875
transcript.pyannote[22].end 159.04409375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 159.04409375
transcript.pyannote[23].end 159.26346875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 159.66846875
transcript.pyannote[24].end 161.79471875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 161.33909375
transcript.pyannote[25].end 161.45721875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 161.86221875
transcript.pyannote[26].end 162.09846875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 162.09846875
transcript.pyannote[27].end 162.11534375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 162.53721875
transcript.pyannote[28].end 165.79409375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 166.60409375
transcript.pyannote[29].end 173.65784375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 174.07971875
transcript.pyannote[30].end 174.50159375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 174.58596875
transcript.pyannote[31].end 175.61534375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 175.93596875
transcript.pyannote[32].end 176.56034375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 176.99909375
transcript.pyannote[33].end 182.21346875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 182.56784375
transcript.pyannote[34].end 188.99721875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 189.35159375
transcript.pyannote[35].end 191.93346875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 192.84471875
transcript.pyannote[36].end 197.41784375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 197.94096875
transcript.pyannote[37].end 199.52721875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 199.72971875
transcript.pyannote[38].end 204.91034375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 205.34909375
transcript.pyannote[39].end 210.52971875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 211.08659375
transcript.pyannote[40].end 213.06096875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 214.05659375
transcript.pyannote[41].end 220.77284375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 221.85284375
transcript.pyannote[42].end 224.78909375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 225.73409375
transcript.pyannote[43].end 226.83096875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 227.50596875
transcript.pyannote[44].end 228.23159375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 229.15971875
transcript.pyannote[45].end 230.03721875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 230.62784375
transcript.pyannote[46].end 232.88909375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 233.49659375
transcript.pyannote[47].end 234.67784375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 235.11659375
transcript.pyannote[48].end 237.52971875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 238.40721875
transcript.pyannote[49].end 240.21284375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 240.75284375
transcript.pyannote[50].end 241.49534375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 242.10284375
transcript.pyannote[51].end 245.14034375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 245.78159375
transcript.pyannote[52].end 254.75909375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 254.97846875
transcript.pyannote[53].end 256.34534375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 257.12159375
transcript.pyannote[54].end 259.23096875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 260.00721875
transcript.pyannote[55].end 269.57534375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 269.91284375
transcript.pyannote[56].end 273.33846875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 274.70534375
transcript.pyannote[57].end 279.86909375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 280.66221875
transcript.pyannote[58].end 290.98971875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 290.21346875
transcript.pyannote[59].end 293.79096875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 293.20034375
transcript.pyannote[60].end 293.68971875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 294.41534375
transcript.pyannote[61].end 297.01409375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 297.73971875
transcript.pyannote[62].end 297.75659375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 297.75659375
transcript.pyannote[63].end 300.65909375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 299.79846875
transcript.pyannote[64].end 307.94909375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 308.43846875
transcript.pyannote[65].end 310.95284375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 312.11721875
transcript.pyannote[66].end 313.50096875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 314.74971875
transcript.pyannote[67].end 318.14159375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 319.67721875
transcript.pyannote[68].end 320.84159375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 321.92159375
transcript.pyannote[69].end 325.43159375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 326.59596875
transcript.pyannote[70].end 328.13159375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 328.57034375
transcript.pyannote[71].end 329.16096875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 329.59971875
transcript.pyannote[72].end 330.46034375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 330.56159375
transcript.pyannote[73].end 336.78846875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 337.69971875
transcript.pyannote[74].end 340.33221875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 341.14221875
transcript.pyannote[75].end 342.71159375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 342.94784375
transcript.pyannote[76].end 344.73659375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 346.15409375
transcript.pyannote[77].end 348.53346875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 349.29284375
transcript.pyannote[78].end 351.21659375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 351.92534375
transcript.pyannote[79].end 357.61221875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 358.43909375
transcript.pyannote[80].end 363.78846875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 364.64909375
transcript.pyannote[81].end 365.49284375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 365.89784375
transcript.pyannote[82].end 374.99346875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 375.83721875
transcript.pyannote[83].end 378.85784375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 379.38096875
transcript.pyannote[84].end 380.79846875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 382.57034375
transcript.pyannote[85].end 383.86971875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 385.37159375
transcript.pyannote[86].end 386.28284375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 386.97471875
transcript.pyannote[87].end 398.85471875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 398.92221875
transcript.pyannote[88].end 400.01909375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 400.66034375
transcript.pyannote[89].end 401.67284375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 402.56721875
transcript.pyannote[90].end 406.56659375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 407.54534375
transcript.pyannote[91].end 421.02846875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 422.69909375
transcript.pyannote[92].end 425.34846875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 425.61846875
transcript.pyannote[93].end 426.25971875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 427.28909375
transcript.pyannote[94].end 432.72284375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 432.84096875
transcript.pyannote[95].end 433.44846875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 434.12346875
transcript.pyannote[96].end 435.16971875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 435.55784375
transcript.pyannote[97].end 437.58284375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 438.62909375
transcript.pyannote[98].end 439.94534375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 441.95346875
transcript.pyannote[99].end 457.37721875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 457.90034375
transcript.pyannote[100].end 459.16596875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 459.30096875
transcript.pyannote[101].end 462.99659375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 463.38471875
transcript.pyannote[102].end 467.82284375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 468.46409375
transcript.pyannote[103].end 469.86471875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 471.31596875
transcript.pyannote[104].end 473.50971875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 474.57284375
transcript.pyannote[105].end 475.43346875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 476.12534375
transcript.pyannote[106].end 476.93534375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 478.09971875
transcript.pyannote[107].end 479.65221875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 479.90534375
transcript.pyannote[108].end 481.23846875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 482.40284375
transcript.pyannote[109].end 485.30534375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 486.09846875
transcript.pyannote[110].end 489.99659375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 490.48596875
transcript.pyannote[111].end 492.81471875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 493.59096875
transcript.pyannote[112].end 498.28221875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 498.82221875
transcript.pyannote[113].end 500.15534375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 500.77971875
transcript.pyannote[114].end 502.28159375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 503.61471875
transcript.pyannote[115].end 506.01096875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 506.68596875
transcript.pyannote[116].end 511.00596875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 511.42784375
transcript.pyannote[117].end 518.54909375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 519.51096875
transcript.pyannote[118].end 520.87784375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 524.08409375
transcript.pyannote[119].end 524.50596875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 524.96159375
transcript.pyannote[120].end 526.32846875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 526.66596875
transcript.pyannote[121].end 527.76284375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 528.77534375
transcript.pyannote[122].end 534.61409375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 535.23846875
transcript.pyannote[123].end 536.62221875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 537.19596875
transcript.pyannote[124].end 541.93784375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 542.83221875
transcript.pyannote[125].end 545.48159375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 545.81909375
transcript.pyannote[126].end 546.61221875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 547.18596875
transcript.pyannote[127].end 551.84346875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 551.97846875
transcript.pyannote[128].end 557.07471875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 557.42909375
transcript.pyannote[129].end 558.99846875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 560.02784375
transcript.pyannote[130].end 561.90096875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 562.30596875
transcript.pyannote[131].end 563.25096875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 564.02721875
transcript.pyannote[132].end 565.00596875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 566.05221875
transcript.pyannote[133].end 568.11096875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 568.41471875
transcript.pyannote[134].end 574.99596875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 575.46846875
transcript.pyannote[135].end 580.68284375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 582.01596875
transcript.pyannote[136].end 584.07471875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 584.91846875
transcript.pyannote[137].end 589.64346875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 589.89659375
transcript.pyannote[138].end 593.60909375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 594.18284375
transcript.pyannote[139].end 600.05534375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 600.78096875
transcript.pyannote[140].end 602.26596875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 604.25721875
transcript.pyannote[141].end 619.17471875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 619.69784375
transcript.pyannote[142].end 624.08534375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 624.01784375
transcript.pyannote[143].end 632.57346875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 630.54846875
transcript.pyannote[144].end 635.96534375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 636.06659375
transcript.pyannote[145].end 637.83846875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 638.80034375
transcript.pyannote[146].end 642.98534375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 643.62659375
transcript.pyannote[147].end 644.47034375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 644.47034375
transcript.pyannote[148].end 645.70221875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 645.70221875
transcript.pyannote[149].end 645.73596875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 645.90471875
transcript.pyannote[150].end 647.42346875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 646.74846875
transcript.pyannote[151].end 646.81596875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 647.91284375
transcript.pyannote[152].end 648.90846875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 649.98846875
transcript.pyannote[153].end 652.30034375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 652.58721875
transcript.pyannote[154].end 652.97534375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 653.21159375
transcript.pyannote[155].end 655.54034375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 656.94096875
transcript.pyannote[156].end 659.84346875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 660.67034375
transcript.pyannote[157].end 661.63221875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 661.63221875
transcript.pyannote[158].end 662.15534375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 662.54346875
transcript.pyannote[159].end 666.18846875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 667.11659375
transcript.pyannote[160].end 668.51721875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 669.17534375
transcript.pyannote[161].end 673.83284375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 674.87909375
transcript.pyannote[162].end 675.77346875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 676.87034375
transcript.pyannote[163].end 678.79409375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 679.73909375
transcript.pyannote[164].end 680.17784375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 680.83596875
transcript.pyannote[165].end 690.30284375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 681.35909375
transcript.pyannote[166].end 681.96659375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 691.18034375
transcript.pyannote[167].end 693.34034375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 694.31909375
transcript.pyannote[168].end 695.65221875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 696.54659375
transcript.pyannote[169].end 698.23409375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 699.76971875
transcript.pyannote[170].end 701.25471875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 702.26721875
transcript.pyannote[171].end 704.34284375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 704.96721875
transcript.pyannote[172].end 708.59534375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 709.45596875
transcript.pyannote[173].end 710.75534375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 711.34596875
transcript.pyannote[174].end 717.67409375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 718.93971875
transcript.pyannote[175].end 718.95659375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 718.95659375
transcript.pyannote[176].end 719.10846875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 719.10846875
transcript.pyannote[177].end 719.39534375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 720.28971875
transcript.pyannote[178].end 722.53409375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 722.70284375
transcript.pyannote[179].end 724.69409375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 723.79971875
transcript.pyannote[180].end 724.42409375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 724.69409375
transcript.pyannote[181].end 724.84596875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 724.84596875
transcript.pyannote[182].end 725.03159375
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 725.03159375
transcript.pyannote[183].end 725.08221875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 725.08221875
transcript.pyannote[184].end 725.72346875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 725.72346875
transcript.pyannote[185].end 726.36471875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 725.74034375
transcript.pyannote[186].end 725.92596875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 727.05659375
transcript.pyannote[187].end 728.30534375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 728.89596875
transcript.pyannote[188].end 731.81534375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 732.22034375
transcript.pyannote[189].end 734.29596875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 735.46034375
transcript.pyannote[190].end 750.74909375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 750.91784375
transcript.pyannote[191].end 754.54596875
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 755.15346875
transcript.pyannote[192].end 758.05596875
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 759.06846875
transcript.pyannote[193].end 762.51096875
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 763.03409375
transcript.pyannote[194].end 771.26909375
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 771.37034375
transcript.pyannote[195].end 776.63534375
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 777.46221875
transcript.pyannote[196].end 779.36909375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 779.90909375
transcript.pyannote[197].end 788.58284375
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 789.34221875
transcript.pyannote[198].end 793.15596875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 793.30784375
transcript.pyannote[199].end 796.00784375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 796.66596875
transcript.pyannote[200].end 802.38659375
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 803.01096875
transcript.pyannote[201].end 806.06534375
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 807.66846875
transcript.pyannote[202].end 811.66784375
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 812.59596875
transcript.pyannote[203].end 813.37221875
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 814.01346875
transcript.pyannote[204].end 816.83159375
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 818.14784375
transcript.pyannote[205].end 818.92409375
transcript.whisperx[0].start 0.97
transcript.whisperx[0].end 5.752
transcript.whisperx[0].text 好主席有請那個考選部長全序部長跟保訓會主委我想先請我們的部長就是那個全序部長立法院已經三讀通過警察
transcript.whisperx[1].start 23.311
transcript.whisperx[1].end 52.127
transcript.whisperx[1].text 人員人事條例修正案嘛你知道嘛 對不對我知道那讓警察 消防 海巡 移民 空總人員可以提高退休的所得替代率讓他們退休生活更有保障嘛那我知道全區部當時是反對這個立法嘛那現在修法已經通過部長還是維持反對的立場嗎對 我還是維持反對但是我們會根據法例我剛剛已經報告過該我們做的事情我們都在執行中好 非常好你要執行 在執行中
transcript.whisperx[2].start 53.103
transcript.whisperx[2].end 63.722
transcript.whisperx[2].text 那我要特別再強調啦警察、消防、海巡、移民跟空總人員所執行的勤務都是全序部認定高度圍牢職務沒錯嘛 對不對
transcript.whisperx[3].start 66.01
transcript.whisperx[3].end 85.289
transcript.whisperx[3].text 所以這也是我們修法的一個原因那麼你像警察踩輪班制作息日夜顛倒還時常要長勤務來停修那因此他們的所得替代率我們有一個特殊的保障
transcript.whisperx[4].start 86.21
transcript.whisperx[4].end 105.601
transcript.whisperx[4].text 那這個部分是當初一個立法目的那你也知道內政部警政署統計數字顯示警消的平均死亡年齡是75歲但我們國人平均壽命是81歲相比壽命差距達6年之多那我想請教一下為什麼會差那麼多
transcript.whisperx[5].start 108.053
transcript.whisperx[5].end 131.153
transcript.whisperx[5].text 退休以後的平均餘命怎麼做跟很多因素影響不過我跟委員報告那一個數字可能大家可以再做double check一下我印象中我們部裡面掌握的數字應該沒有差到那麼多沒關係你把數字再給我看好不好你不要口頭說數字不一樣數字拿給我看我們這也是看到政府相關的數字我們才拿出來的
transcript.whisperx[6].start 132.154
transcript.whisperx[6].end 153.351
transcript.whisperx[6].text 權序部一再稱 危牢職務可以提早退休 債值待遇較高可是事實上你沒去想過 他們平均壽命為什麼那麼短其實跟他們的勤務有關 跟他們職務關係有關不用講別的 你拿錦霄來講的話 錦霄的殉職的可能性就比一般公務員高得多得多沒錯吧
transcript.whisperx[7].start 157.782
transcript.whisperx[7].end 173.605
transcript.whisperx[7].text 我沒有實際的數字但是理論上應該是會那你如果要推翻理論你就實際數字拿出來所以在這邊我要跟這個部長講為什麼在這些事情的立場上我是立場比較強硬的
transcript.whisperx[8].start 174.816
transcript.whisperx[8].end 203.167
transcript.whisperx[8].text 原因就是因為我們就是社會治安就靠警察保護我們都受警察保護的人打火兄弟每次出生入死大家也看到只要他們在火場當中殉職我們所有政府官員排排站全部去攻擊因此對於這些所謂的警消的退休生活的保障我們願意來去這是我們應該要給他的一個退休生活保障的一個
transcript.whisperx[9].start 203.976
transcript.whisperx[9].end 232.272
transcript.whisperx[9].text 特別的禮遇但是很遺憾今天我們看到政府處理態度並不相同這是我們剛剛講就是說如果政府都不願意善待他們最近我們的政府很喜歡講要強化社會韌性跟民防韌性強化社會韌性強化民防韌性對待警消的人員友善一點然後能夠從他們立場多照顧一點
transcript.whisperx[10].start 233.53
transcript.whisperx[10].end 259.09
transcript.whisperx[10].text 那不就是一種社會任性跟民防任性的強化嗎那最後我接下來就要問了事實上我們為什麼今天通過這個就是警察人人事條例要來去提高他退休後的所得替代率提高他退休的保障今天非常遺憾行政院就跟你講不編預算了
transcript.whisperx[11].start 260.246
transcript.whisperx[11].end 279.497
transcript.whisperx[11].text 剛剛你已經講了說全序部也做好準備啦因為立法院法律通過了嘛你個人反對都有尊重你的反對但立法院今天就是民意機關大家已經通過這個法律我想請教一下部長請問如果行政院不編預算請問你接下來工作怎麼進行啊你能進行嗎
transcript.whisperx[12].start 281.34
transcript.whisperx[12].end 296.206
transcript.whisperx[12].text 因為根據我們憲法跟預算法的規定這個所有的中央政府總預算案的編制權是在行政院所以這個事情行政院當然啦我知道所以沒為難你嘛我剛剛質詢有為難你嗎沒有吧沒有預算你也做不了事嘛不是嗎 沒錯吧
transcript.whisperx[13].start 297.779
transcript.whisperx[13].end 325.272
transcript.whisperx[13].text 我們就是按照我們該做的事情這事應該也沒有為難你啦這事你就回答就做不了事就對了啦你沒有預算怎麼做事告訴我你掏腰包嗎 部長你會掏腰包嗎叫你掏腰包也不公平嘛 對不對所以你就做不了事嘛今天我要特別講為什麼在野黨要提出復議第一個原因就是坦白講我們覺得行政院這樣欺負警校我們是看不下去啦
transcript.whisperx[14].start 326.67
transcript.whisperx[14].end 350.713
transcript.whisperx[14].text 全區部都說他們是危險勤務的人員他們對我們國家在前面保障治安保障人民的生命財產安全立法院法律都通過了 我們是民意機關我還是要再次強調我不為難你 不叫你回答行政院現在提這個四線的說法坦白講是在欺騙社會大眾
transcript.whisperx[15].start 352.028
transcript.whisperx[15].end 380.561
transcript.whisperx[15].text 因為我相信你當公務員當部長當公務員這麼久我們也是我在政府單位也服務過非常清楚是要釋憲的程序嘛釋憲程序很簡單啦行政院是有權釋憲沒錯啦但是呢在大法官會議做出所謂的緊急處分緊急處分就有凍結法律的效果嘛沒錯吧對不對他做緊急處分他可以凍結這個法律嘛他在做緊急處分之前沒有凍結這個法律之前這法律是有效還是無效
transcript.whisperx[16].start 382.705
transcript.whisperx[16].end 406.086
transcript.whisperx[16].text 這法律就是有效的啊那你今天在法律有效的情況下你跟我講說等大法官會解釋出來你才要編預算這本身就是危險啦侵犯立法權的核心更重要我當然知道現在行政院也不在乎立法權啦可是重點是什麼你也是在欺負我們的警察消防這些危險勤務人員
transcript.whisperx[17].start 407.588
transcript.whisperx[17].end 433.243
transcript.whisperx[17].text 同樣的道理 這個當然跟權序部可能不是你主管了立法院三讀通過軍人待遇條例除了提高自願加級對於訓練勤務繁重的戰鬥部隊弟兄也提高他們的加級這個你總知道吧 這個法律通過你知道了雖然不是你們主管啦其實這個情況跟我剛剛前面講的那個警消的狀況是相同的所以
transcript.whisperx[18].start 434.372
transcript.whisperx[18].end 462.173
transcript.whisperx[18].text 結果一樣我們行政院還是不編預算啊還是不編預算啊在野黨說真的我們到現在為止都非常善意的像我們本來上禮拜本來有提退回總預算嘛後來我們商量以後跟在野黨商量以後覺得說不要用退回的方式等於讓行政院還可以有個再思考的機會所以我們就是沒有把退回案我們把退回案這個打住
transcript.whisperx[19].start 463.479
transcript.whisperx[19].end 486.987
transcript.whisperx[19].text 然後我們現在改用的方式是提出復議提出復議其實用意就是給行政院一個機會不要把今天警消跟軍人的權益當作是一個政治鬥爭的籌碼比方說以軍人來講我們國防預算明年要高達9495億佔據率3.32%
transcript.whisperx[20].start 493.609
transcript.whisperx[20].end 520.544
transcript.whisperx[20].text 比今年要增加1768億是史上最高但是我們看到行政院還是就是不編軍人的預算事實上我們現在兩岸我覺得我這樣講兩岸之間兵兇戰危大家都擔心戰爭發生的可能性請問部長嘛戰爭發生以後是誰去保家衛國是誰嘛答案應該很清楚吧 部長
transcript.whisperx[21].start 525.031
transcript.whisperx[21].end 541.585
transcript.whisperx[21].text 那最重要在前線 衝鋒陷陣守住疆土 甚至犧牲生命最重要的最前線是誰 當然是國軍嘛 沒錯嘛那這種情況之下而且我們現在國軍邊線比都不夠啊軍校招生都越來越少啊
transcript.whisperx[22].start 542.915
transcript.whisperx[22].end 564.814
transcript.whisperx[22].text 原因是什麼 就是你今天不能夠一直用要他們去付出生命的代價但是又告訴他我不想要改善你的待遇我們今天國民黨其實在野黨就是因為看到兩岸之間可能有戰爭的風險所以今天我們希望能夠給軍人合理的待遇
transcript.whisperx[23].start 566.184
transcript.whisperx[23].end 593.133
transcript.whisperx[23].text 讓他們覺得今天當然保家衛國是他們光榮的責任啦他們會這麼認為因為我們的軍人是有愛國心的可是你也不能是因為他有愛國心就跟我講說啊沒關係待遇你就你就不要計較了這是為什麼今天我們要提出這個軍人待遇條例的一個修正的一個最重要原因所以在這邊齁我這邊也表達今天為什麼我們今天提出復議案再次請喔
transcript.whisperx[24].start 594.246
transcript.whisperx[24].end 618.506
transcript.whisperx[24].text 我們的行政院可以好好想想我們的軍人警消的一個情況那接下來我就要講就是說我們國民黨團已經將停侃公教年金的公務人員退休之前撫恤法以及公立學校教職員退休之前撫恤法列為本會期的要優先通過的法案 對不對
transcript.whisperx[25].start 619.767
transcript.whisperx[25].end 645.126
transcript.whisperx[25].text 我想請教部長你還是反對停侃公教年金嗎是不是我還是要從整個基金財務的角度呢提供這個說明然後我覺得幫我們把財務狀況做更清楚的說明大家好好討論你剛剛前面都已經講過我知道啦你的論點我一向都知道我想請教一件事情你知道你剛剛講說基金什麼破產啊什麼的問題嘛對不對是不是沒錯吧他會歸零歸零嘛來來來那我想請教
transcript.whisperx[26].start 650.131
transcript.whisperx[26].end 678.449
transcript.whisperx[26].text 你知道我們勞保有類似的問題吧?一樣勞動部的回答是什麼?這幾年撥補了三千多億人沒錯吧?對每年都有撥補每年都有撥補他還是有破產問題對不對跟你一樣嘛你知道勞動部怎麼講嗎?勞動部說政府有最後支付責任勞保絕對不會倒大家請放心很有魄力啊那我就問了公教是二等公民嗎?
transcript.whisperx[27].start 679.781
transcript.whisperx[27].end 708.469
transcript.whisperx[27].text 是嗎我支持喔我先講不要被扣帽子我支持勞保政府負擔最後支付責任勞保絕對不能倒我支持但是我要幫我們公教人員講一句話為什麼到公教人員這個政府的肩膀就不見了第三個我要跟部長講部長講我都沒有為難你都沒有為難你因為這所謂的雙標的問題我覺得你也不好回答
transcript.whisperx[28].start 709.5
transcript.whisperx[28].end 733.811
transcript.whisperx[28].text 第二 第三 我跟你講請問我們今天提的案子是要回到2018年以前的所謂的年金水準嗎 是嗎是不是沒有 是112年停止調降有112跟113停砍嘛 對不對所以不是要回到你的所謂的年金之前的狀況嘛我跟部長講一件事情
transcript.whisperx[29].start 735.526
transcript.whisperx[29].end 762.304
transcript.whisperx[29].text 我們也遇到太多太多我們現在公教人員我相信你不否認啦台灣不管時代建設激進奇蹟然後包括說今天我們台積電的建設都有很多優秀公務員在後面撥話這些公教人員在我們國家發展過程當中是我們最中間安定的力量今天卑微到什麼程度我就用個比喻跟你講啦你年金砍了這麼多年你把他血跟肉都砍掉了啦
transcript.whisperx[30].start 763.103
transcript.whisperx[30].end 788.024
transcript.whisperx[30].text 今天非常卑微是說不是要回到把血肉補回來只是求求你骨跟筋不要再斷它嘛手跟腳不要再斷它嘛肉跟血都被你砍了 吸了很卑微我告訴大家我相信全民也能接受今天公教人員不是沒有為你剛剛所謂的年經的永續你拿著這個大的一個目標
transcript.whisperx[31].start 789.4
transcript.whisperx[31].end 816.605
transcript.whisperx[31].text 在犧牲自己 不是沒有耶這麼多年已經砍了多少了他們也沒有要求要回復到原點去啊只是真的砍過頭了嘛你們過去考試院提的版本也不是今天這個版本 沒錯吧不是後來現在實行這個版本 沒錯啊你們也沒砍那麼重啦真的到最後是砍過頭 我告訴你那今天也不過卑微的說拜託 留一口氣給公教人員吧謝謝您好 謝謝委員