iVOD / 157427

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/55b9778b62440c74cda82903002a4ab6d385048732c8e563258f3eba717d081e42429a604935b5345ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鍾佳濱
委員發言時間 10:36:23 - 10:50:13
影片長度 830
會議時間 2024-11-25T09:00:00+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16次全體委員會議(事由:一、審查114年度中央政府總預算案關於司法院及所屬主管收支部分。 二、審查司法院函送財團法人法律扶助基金會114年度預算書案。 三、繼續審查司法院函請審議「稅務行政事件審理法草案」案。 四、繼續審查司法院函請審議「行政法院組織法部分條文修正草案」案。 【第一、二案僅進行詢答;預算提案於12月2日中午12時截止收件;第三、四案僅宣讀條文】 【11月25日及27日兩天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 5.58284375
transcript.pyannote[0].end 27.70596875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 27.89159375
transcript.pyannote[1].end 35.70471875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 30.03471875
transcript.pyannote[2].end 31.46909375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 34.43909375
transcript.pyannote[3].end 34.45596875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 34.45596875
transcript.pyannote[4].end 35.45159375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 36.37971875
transcript.pyannote[5].end 36.81846875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 37.18971875
transcript.pyannote[6].end 41.15534375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 42.35346875
transcript.pyannote[7].end 42.42096875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 42.42096875
transcript.pyannote[8].end 42.47159375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 42.47159375
transcript.pyannote[9].end 43.45034375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 50.57159375
transcript.pyannote[10].end 83.15721875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 54.46971875
transcript.pyannote[11].end 55.44846875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 83.49471875
transcript.pyannote[12].end 89.21534375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 89.63721875
transcript.pyannote[13].end 95.40846875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 96.48846875
transcript.pyannote[14].end 97.48409375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 98.27721875
transcript.pyannote[15].end 103.59284375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 103.76159375
transcript.pyannote[16].end 104.62221875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 104.08221875
transcript.pyannote[17].end 106.41096875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 105.41534375
transcript.pyannote[18].end 110.57909375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 108.38534375
transcript.pyannote[19].end 109.19534375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 110.74784375
transcript.pyannote[20].end 112.89096875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 112.94159375
transcript.pyannote[21].end 116.89034375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 113.70096875
transcript.pyannote[22].end 114.17346875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 116.35034375
transcript.pyannote[23].end 117.64971875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 117.46409375
transcript.pyannote[24].end 118.72971875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 119.03346875
transcript.pyannote[25].end 125.54721875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 125.88471875
transcript.pyannote[26].end 127.50471875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 128.04471875
transcript.pyannote[27].end 132.02721875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 132.41534375
transcript.pyannote[28].end 135.62159375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 135.97596875
transcript.pyannote[29].end 143.92409375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 145.91534375
transcript.pyannote[30].end 151.99034375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 153.18846875
transcript.pyannote[31].end 154.97721875
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 153.59346875
transcript.pyannote[32].end 156.71534375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 156.29346875
transcript.pyannote[33].end 159.68534375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 157.82909375
transcript.pyannote[34].end 159.66846875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 159.68534375
transcript.pyannote[35].end 160.34346875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 160.34346875
transcript.pyannote[36].end 167.21159375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 167.34659375
transcript.pyannote[37].end 168.19034375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 168.39284375
transcript.pyannote[38].end 168.79784375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 169.38846875
transcript.pyannote[39].end 173.72534375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 174.21471875
transcript.pyannote[40].end 175.10909375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 175.95284375
transcript.pyannote[41].end 178.23096875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 181.79159375
transcript.pyannote[42].end 183.83346875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 182.71971875
transcript.pyannote[43].end 183.02346875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 183.69846875
transcript.pyannote[44].end 185.90909375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 187.14096875
transcript.pyannote[45].end 188.38971875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 188.91284375
transcript.pyannote[46].end 193.51971875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 193.82346875
transcript.pyannote[47].end 208.92659375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 209.23034375
transcript.pyannote[48].end 211.44096875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 213.16221875
transcript.pyannote[49].end 215.76096875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 216.09846875
transcript.pyannote[50].end 232.19721875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 223.35471875
transcript.pyannote[51].end 226.07159375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 230.59409375
transcript.pyannote[52].end 242.20409375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 242.33909375
transcript.pyannote[53].end 243.82409375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 244.27971875
transcript.pyannote[54].end 244.87034375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 245.47784375
transcript.pyannote[55].end 247.78971875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 248.53221875
transcript.pyannote[56].end 250.10159375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 250.37159375
transcript.pyannote[57].end 252.02534375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 252.75096875
transcript.pyannote[58].end 253.72971875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 253.94909375
transcript.pyannote[59].end 254.43846875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 254.80971875
transcript.pyannote[60].end 258.06659375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 259.61909375
transcript.pyannote[61].end 274.09784375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 266.67284375
transcript.pyannote[62].end 267.09471875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 274.09784375
transcript.pyannote[63].end 284.57721875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 284.69534375
transcript.pyannote[64].end 288.27284375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 288.55971875
transcript.pyannote[65].end 291.41159375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 293.55471875
transcript.pyannote[66].end 303.42659375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 302.54909375
transcript.pyannote[67].end 315.01971875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 315.57659375
transcript.pyannote[68].end 316.79159375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 317.31471875
transcript.pyannote[69].end 318.91784375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 319.01909375
transcript.pyannote[70].end 322.20846875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 322.57971875
transcript.pyannote[71].end 323.84534375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 324.52034375
transcript.pyannote[72].end 326.41034375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 326.59596875
transcript.pyannote[73].end 330.27471875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 331.89471875
transcript.pyannote[74].end 343.21784375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 334.22346875
transcript.pyannote[75].end 335.79284375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 343.53846875
transcript.pyannote[76].end 346.96409375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 343.60596875
transcript.pyannote[77].end 344.14596875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 349.03971875
transcript.pyannote[78].end 350.62596875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 352.43159375
transcript.pyannote[79].end 366.08346875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 362.79284375
transcript.pyannote[80].end 363.06284375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 363.80534375
transcript.pyannote[81].end 366.72471875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 367.31534375
transcript.pyannote[82].end 390.26534375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 391.19346875
transcript.pyannote[83].end 392.00346875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 392.30721875
transcript.pyannote[84].end 394.51784375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 396.01971875
transcript.pyannote[85].end 396.62721875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 397.20096875
transcript.pyannote[86].end 400.57596875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 402.04409375
transcript.pyannote[87].end 405.18284375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 406.07721875
transcript.pyannote[88].end 409.77284375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 410.11034375
transcript.pyannote[89].end 414.09284375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 416.32034375
transcript.pyannote[90].end 432.48659375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 431.55846875
transcript.pyannote[91].end 431.92971875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 432.48659375
transcript.pyannote[92].end 446.30721875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 446.47596875
transcript.pyannote[93].end 451.72409375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 451.92659375
transcript.pyannote[94].end 454.49159375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 455.31846875
transcript.pyannote[95].end 455.72346875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 456.87096875
transcript.pyannote[96].end 462.49034375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 462.49034375
transcript.pyannote[97].end 472.78409375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 473.05409375
transcript.pyannote[98].end 473.69534375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 474.08346875
transcript.pyannote[99].end 477.34034375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 477.84659375
transcript.pyannote[100].end 479.70284375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 479.83784375
transcript.pyannote[101].end 480.56346875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 480.90096875
transcript.pyannote[102].end 484.41096875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 484.84971875
transcript.pyannote[103].end 488.88284375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 490.30034375
transcript.pyannote[104].end 499.39596875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 494.19846875
transcript.pyannote[105].end 495.05909375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 498.33284375
transcript.pyannote[106].end 499.48034375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 499.88534375
transcript.pyannote[107].end 500.81346875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 501.43784375
transcript.pyannote[108].end 503.10846875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 503.17596875
transcript.pyannote[109].end 505.38659375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 506.17971875
transcript.pyannote[110].end 507.96846875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 507.96846875
transcript.pyannote[111].end 508.00221875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 508.66034375
transcript.pyannote[112].end 508.77846875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 508.79534375
transcript.pyannote[113].end 509.85846875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 510.39846875
transcript.pyannote[114].end 512.84534375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 513.40221875
transcript.pyannote[115].end 516.47346875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 516.57471875
transcript.pyannote[116].end 521.94096875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 517.77284375
transcript.pyannote[117].end 518.24534375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 522.39659375
transcript.pyannote[118].end 535.86284375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 536.58846875
transcript.pyannote[119].end 537.33096875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 537.92159375
transcript.pyannote[120].end 538.47846875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 539.67659375
transcript.pyannote[121].end 542.03909375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 543.84471875
transcript.pyannote[122].end 544.50284375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 545.34659375
transcript.pyannote[123].end 546.89909375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 547.57409375
transcript.pyannote[124].end 548.45159375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 549.36284375
transcript.pyannote[125].end 551.23596875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 551.50596875
transcript.pyannote[126].end 553.83471875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 554.10471875
transcript.pyannote[127].end 555.18471875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 555.85971875
transcript.pyannote[128].end 556.68659375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 559.23471875
transcript.pyannote[129].end 561.73221875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 561.71534375
transcript.pyannote[130].end 568.29659375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 568.51596875
transcript.pyannote[131].end 576.19409375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 576.75096875
transcript.pyannote[132].end 588.15846875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 588.74909375
transcript.pyannote[133].end 592.84971875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 593.84534375
transcript.pyannote[134].end 596.68034375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 593.91284375
transcript.pyannote[135].end 594.41909375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 595.44846875
transcript.pyannote[136].end 596.00534375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 596.96721875
transcript.pyannote[137].end 601.18596875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 601.18596875
transcript.pyannote[138].end 609.52221875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 610.16346875
transcript.pyannote[139].end 617.89221875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 618.56721875
transcript.pyannote[140].end 620.52471875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 621.94221875
transcript.pyannote[141].end 624.08534375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 624.37221875
transcript.pyannote[142].end 626.68409375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 626.73471875
transcript.pyannote[143].end 630.83534375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 631.66221875
transcript.pyannote[144].end 633.75471875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 632.38784375
transcript.pyannote[145].end 634.51409375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 635.03721875
transcript.pyannote[146].end 635.49284375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 635.52659375
transcript.pyannote[147].end 639.67784375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 639.82971875
transcript.pyannote[148].end 640.96034375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 641.41596875
transcript.pyannote[149].end 644.90909375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 645.21284375
transcript.pyannote[150].end 651.18659375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 652.13159375
transcript.pyannote[151].end 653.75159375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 655.81034375
transcript.pyannote[152].end 656.50221875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 657.31221875
transcript.pyannote[153].end 659.03346875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 659.03346875
transcript.pyannote[154].end 663.87659375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 659.77596875
transcript.pyannote[155].end 660.26534375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 664.29846875
transcript.pyannote[156].end 673.39409375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 673.95096875
transcript.pyannote[157].end 676.65096875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 676.87034375
transcript.pyannote[158].end 676.88721875
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 676.88721875
transcript.pyannote[159].end 677.79846875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 677.08971875
transcript.pyannote[160].end 680.73471875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 680.93721875
transcript.pyannote[161].end 683.29971875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 683.46846875
transcript.pyannote[162].end 693.62721875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 693.96471875
transcript.pyannote[163].end 710.38409375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 710.83971875
transcript.pyannote[164].end 715.48034375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 715.61534375
transcript.pyannote[165].end 721.67346875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 721.90971875
transcript.pyannote[166].end 722.82096875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 723.32721875
transcript.pyannote[167].end 728.76096875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 728.87909375
transcript.pyannote[168].end 734.59971875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 734.75159375
transcript.pyannote[169].end 736.91159375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 737.11409375
transcript.pyannote[170].end 739.56096875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 739.67909375
transcript.pyannote[171].end 751.30596875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 751.59284375
transcript.pyannote[172].end 753.11159375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 754.36034375
transcript.pyannote[173].end 756.50346875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 756.50346875
transcript.pyannote[174].end 757.75221875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 758.95034375
transcript.pyannote[175].end 764.28284375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 763.65846875
transcript.pyannote[176].end 774.88034375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 775.43721875
transcript.pyannote[177].end 778.66034375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 779.04846875
transcript.pyannote[178].end 780.66846875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 780.97221875
transcript.pyannote[179].end 783.30096875
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 783.48659375
transcript.pyannote[180].end 789.52784375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 789.73034375
transcript.pyannote[181].end 794.89409375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 795.33284375
transcript.pyannote[182].end 804.22596875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 804.66471875
transcript.pyannote[183].end 810.58784375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 811.17846875
transcript.pyannote[184].end 813.15284375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 813.33846875
transcript.pyannote[185].end 814.51971875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 814.78971875
transcript.pyannote[186].end 818.50221875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 818.53596875
transcript.pyannote[187].end 819.16034375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 819.59909375
transcript.pyannote[188].end 821.35409375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 822.11346875
transcript.pyannote[189].end 824.72909375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 824.96534375
transcript.pyannote[190].end 826.06221875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 826.29846875
transcript.pyannote[191].end 827.29409375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 827.63159375
transcript.pyannote[192].end 829.57221875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 830.33159375
transcript.pyannote[193].end 830.92221875
transcript.whisperx[0].start 5.629
transcript.whisperx[0].end 9.011
transcript.whisperx[0].text 審查司法院第11屆第2會期司法院第11屆第2會期司法院第11屆第2會期
transcript.whisperx[1].start 28.762
transcript.whisperx[1].end 40.772
transcript.whisperx[1].text 黃副秘書長也請我們臺北地院的王院長要接班。趕快來見習一下。也請我們訪福的陳董事長。陳董事長
transcript.whisperx[2].start 51.172
transcript.whisperx[2].end 55.135
transcript.whisperx[2].text 國民法官國審案國審案將擴大納入貪污等案,要強化國民的參與率及拒絕標準。國民法官上路2年,15年案由將擴大。
transcript.whisperx[3].start 72.968
transcript.whisperx[3].end 95.188
transcript.whisperx[3].text 本來在去年我們新收108件,未結83件,好像比前兩年總數加起來要多根據官方法第五條第一項,它是兩個要件一個是故意犯罪因而發生死亡的結果者,對不對,這已經實施了嘛,過去這幾年就是這樣那未來在15年,所犯罪侵本行為10年以上有期徒刑之罪,請問這些包含哪些?這些罪包含哪些?
transcript.whisperx[4].start 98.522
transcript.whisperx[4].end 105.005
transcript.whisperx[4].text 判違強制性交、傷害、妨礙幼童、強盜擄人勒贖、兒少性剝削、人口販運、懲治走私、國家情報、妨礙國家安全以及貪污治罪條例。」對不對?
transcript.whisperx[5].start 128.095
transcript.whisperx[5].end 143.224
transcript.whisperx[5].text 一百一十二年的強盜結合家辱人勒俗的結合罪11人,但是重大貪污有15人,是不是這樣子?但是有沒有評估未來總收案量會成長多少?法院人力充不充足?有沒有評估過?我們在一一五年要開始擴大。
transcript.whisperx[6].start 146.087
transcript.whisperx[6].end 147.048
transcript.whisperx[6].text 審理法律審理法律審理法律審理法律審理法律
transcript.whisperx[7].start 175.987
transcript.whisperx[7].end 178.03
transcript.whisperx[7].text 重大貪污案件適用國民法官法嗎?例如說違背職務
transcript.whisperx[8].start 187.014
transcript.whisperx[8].end 192.318
transcript.whisperx[8].text 稅務行政事件審理法草案案 案件情節繁雜或需高度專業知識非經長久時日顯然完成審判者。」請問副秘書長為什麼要加上這一款?為什麼國民法官法要避免這種情節繁雜要長久時日?
transcript.whisperx[9].start 213.223
transcript.whisperx[9].end 230.874
transcript.whisperx[9].text 委員報告齁,因為那個國民,一般的國民參與的這些案件齁,第一個,他只能在很……比如說在兩週內要讓國民法官完成。對對對,那他沒有辦法像一般的法官這樣,可以一年兩年,一年兩年再審判子。
transcript.whisperx[10].start 231.454
transcript.whisperx[10].end 257.871
transcript.whisperx[10].text 所以根據這樣子,去年根據複雜條款裁定不行使國民參審審判的有28件申請,其中複雜案件13件,那麼准以15件,複雜案件6件,差不多複雜案件有一半是准以不交由國民法官參與嘛,對不對?好,那請問一下複雜性條款,有沒有不複雜的貪污案?剛剛講到我們這個重大貪污案適用國民法官法,但是有沒有不複雜的貪污案?
transcript.whisperx[11].start 259.673
transcript.whisperx[11].end 260.474
transcript.whisperx[11].text 最近大家最熱門的
transcript.whisperx[12].start 276.684
transcript.whisperx[12].end 289.856
transcript.whisperx[12].text 金華城案,你看看,單單看這個人物關係跟金流圖啊,你看有多少的前市長、前市議員、企業家被告。事案行為至少從4年前開始,還有疑似匯款流入基金會、黨部及政治先進專戶,這個案子複複複雜。
transcript.whisperx[13].start 293.615
transcript.whisperx[13].end 316.157
transcript.whisperx[13].text 和委員報告,當然有相當的這些複雜度,但是跟委員報告,也不是說有複雜法官那個申請說不行國民審判,法官就會准,法官就只要是…沒錯,好,那麼看一下這個是還在進行中的,我們看已經針截了,重大貪官適用國民法官法會有什麼問題?貪官的特質,涉案人數眾多,金流複雜,被告不認罪,你看,禪送12年,南投前縣長啊,
transcript.whisperx[14].start 317.358
transcript.whisperx[14].end 325.464
transcript.whisperx[14].text 李朝卿收回扣111件罪全部定案累計刑期達超過400年。」李朝卿案恐怕我們想國民法官沒辦法銷售啊。
transcript.whisperx[15].start 352.682
transcript.whisperx[15].end 371.038
transcript.whisperx[15].text 財刑國民法案制度就是要集中審理,有些時候會拖久,就是因為集中審理沒有辦法落實貫徹,那這也是國民法案的製度。我們來看一下還有什麼其他的考量,來下一頁。遇到有社會矚目的案件,如何維持國民法案的公正性?國民法案第14條。
transcript.whisperx[16].start 372.419
transcript.whisperx[16].end 377.3
transcript.whisperx[16].text 包括總統、副總統、各級機關首長、政務人員、民意代表、政黨黨務工作人員。國民法第15條選任國民法官法,這些人不能參與,有具體事證足認其執行職務,有難其公正之語。小草集結北檢挺科這些人會不會落入到第15條第9款的項目當中呢?
transcript.whisperx[17].start 402.093
transcript.whisperx[17].end 412.837
transcript.whisperx[17].text 如果我們這重大的社會矚目案件有這些人那你就說重大貪污看複雜程度不見得那你在選任國民法官的時候這些人你怎麼去篩選出來
transcript.whisperx[18].start 416.5
transcript.whisperx[18].end 445.279
transcript.whisperx[18].text 委員報告喔,這個是不是符合這個去選任不適合擔任國民法官,其實要有具體的事證,而且在選任程序裡面,雙方都會去表示意見,那今天被告這邊表示意見,檢察官那一邊他可能會表示不適合這個意見,所以不見得...所以說我們現在談到了當15年擴大包括貪污案件要納入的時候,除了案件複雜之外,社會矚目的你在選任國民法官的時候,不只因為案件複雜,連選任的人員都要特別謹慎,對不對?
transcript.whisperx[19].start 446.6
transcript.whisperx[19].end 454.252
transcript.whisperx[19].text 民嘴、網路、KOL、支持者,這些可以當任國民法官嗎?如果有足夠的事政,你們就可能要把他排除喔,是不是這樣?
transcript.whisperx[20].start 456.929
transcript.whisperx[20].end 483.838
transcript.whisperx[20].text 在選任的程序裡面兩兆就會去表示意見那這一邊可能就認為說沒有達到那你要知道齁那這個時候兩邊裸裸有沒有要挑他就開始要求調錄影帶去北檢前面調北檢那時候的錄影帶看看哪些人曾經在裡面參與的是不是這樣子就看到我們在好萊塢電影上他們選任陪審團的時候啊就開始派出大量的人力去救可能被選出來當國民法官的他的過去的參與
transcript.whisperx[21].start 484.938
transcript.whisperx[21].end 497.288
transcript.whisperx[21].text 是否有這種事證?這是一個龐大的工程,這個事情誰來把關?誰來把關?如果是在北院的話,是誰來把關?如果這個案子國審法,中華北院是誰來把關國民法官的選任?請王院長提供一下見解,因為未來你要擔任這個職務。
transcript.whisperx[22].start 513.799
transcript.whisperx[22].end 541.607
transcript.whisperx[22].text 這個依法是由國民法官庭的審判長。國民法官庭的審判長嘛,所以很重要嘛。各位我們各個地院的院長喔,這個複雜度大約是好,往下一頁,來我們看一下。那其實我們更關心的不是這個,不是主卻,是要怎麼提升人民參與審判來強化司法信任度。我們1、2年應到的候選法官2352位,10到呢,不到一半。那1、1、3年的比率呢,到目前有沒有統計?
transcript.whisperx[23].start 544.415
transcript.whisperx[23].end 556.285
transcript.whisperx[23].text 審查司法院函送財團法人法律扶助基金會114年度中央政府總預算案關於司法院函送財團法律扶助基金會114年度審查司法院函送財團法律扶助基金會114年度審查司法院函送財團法律扶助基金會114年度審查司法院函送財團法律
transcript.whisperx[24].start 559.298
transcript.whisperx[24].end 562.683
transcript.whisperx[24].text 議員最高的是專業人士、軍公教跟學生,議員最低是家管、退休、無業跟勞力人員。為什麼會這樣子呢?有這樣的觀點嗎?我們再往下看。
transcript.whisperx[25].start 577.202
transcript.whisperx[25].end 590.716
transcript.whisperx[25].text 其實營養參與委員的呢,他這裡的說法是說,因為可能學歷低者他比較擔心對日常生活及生計造成影響。像這些勞力人員啊、兼職人員啊,最怕這一點。那請問候選的法官僱主知道應該以公價併合領日費嗎?你們有去調查嗎?
transcript.whisperx[26].start 593.905
transcript.whisperx[26].end 620.087
transcript.whisperx[26].text 你覺得是原因嗎?但影響生活經濟。我們這部分應該都有做相關的通知跟宣導,應該會知道。那未來的副部長要強化,要請司法院這邊強化各院的宣導。但是是不是真的是考慮說因為經濟生活,我們再往下看。很奇怪耶,從年齡來看,年齡越高,到場率越低啊。尤其是六、七十歲以上的到場率低於平均。這些人不都已經退休了嗎?
transcript.whisperx[27].start 622.097
transcript.whisperx[27].end 651.05
transcript.whisperx[27].text 為什麼還會擔心他的經濟生活呢?是什麼原因造成年紀較長者他擔心去擔任國民法官呢?你們要去深入探究原因,可以嗎?這一點我特別提出來,再往下看所以候選的國民法官魏道廷將開法你看我這裡給你看教召我們當兵教召魏豹島將有刑事責任但是你們的國民法官法以橋頭地院來講沒有代名魏道廷可依法具體哇這好嚴重啊
transcript.whisperx[28].start 652.425
transcript.whisperx[28].end 673.181
transcript.whisperx[28].text 市務上是不是有沒有提醒?有沒有提醒?沒有啊,這個傳票上面沒有載明啊,是不好載明還是怎麼樣?要你去當國民法官,不來,把你拘來,有這樣的事情嗎?民眾會不會覺得法情感上難以接受?要我去當法官不去,你還要把我抓出去?
transcript.whisperx[29].start 674.002
transcript.whisperx[29].end 697.017
transcript.whisperx[29].text 提醒都有提醒啦但是目前沒有好啦我也沒有說你們一定要載名啦也不是說載名就比較好啦但是這個是一個很重要的觀念啦或許你們覺得載名之後會讓民眾深深恐懼或有錯誤的誤解其實當國民法院是個義務但是你用到具體可能民眾會嚇一跳是不是這樣子我了解你們要去體會但是這個要加強怎麼辦讓徐先生好不好好先往下下一題
transcript.whisperx[30].start 700.259
transcript.whisperx[30].end 704.101
transcript.whisperx[30].text 審判的意願,並且嚴格國民法官案件的轉軌及拒絕標準。」最後陳董事長請回王蜂蜜跟王院長還有我們屏東地院的李院長不用上來交接一下
transcript.whisperx[31].start 723.368
transcript.whisperx[31].end 752.648
transcript.whisperx[31].text 護士長,你去過屏東地院看過,我們屏東地院有一個司法園區的專案,是不是要推動嗎?我們希望未來的王院長接著之後要持續推動,因為這個案子很重要,要跟法務部、要跟國產署、要跟國土署都要去做共同協商。是不是請兩位共同承諾繼續推動,包括幫我們的屏東地院,李院長很積極,我們的地檢的陳檢察長也很積極,需要上面司法院跟法務部共同推動,可以承諾嗎?
transcript.whisperx[32].start 754.389
transcript.whisperx[32].end 756.89
transcript.whisperx[32].text 行政院一律新建的辦公廳設,沒有植物宿舍,都沒有了,只有哪裡?
transcript.whisperx[33].start 775.501
transcript.whisperx[33].end 794.696
transcript.whisperx[33].text 只有新蓋的屏東榮總有植物宿舍你知道什麼原因嗎因為蘇院長特別破例給這些辛苦的醫護人員要輪班所以讓他們在新建的廳舍裡面有植物宿舍未來如果說司法園區能夠成立它的地占地面積等等各方面條件很好未必要在同一個廳舍裡面在附近
transcript.whisperx[34].start 795.396
transcript.whisperx[34].end 798.018
transcript.whisperx[34].text 審理法草案案件事件審理法草案案件事件
transcript.whisperx[35].start 822.165
transcript.whisperx[35].end 829.137
transcript.whisperx[35].text 法官生人愉快。」那也拜託王院長好不好接下燙手山魚世代交替啊台灣隊加油我們司法加油謝謝
IVOD_ID 157427
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/157427
日期 2024-11-25
會議資料.會議代碼 委員會-11-2-36-16
會議資料.屆 11
會議資料.會期 2
會議資料.會次 16
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16次全體委員會議
影片種類 Clip
開始時間 2024-11-25T10:36:23+08:00
結束時間 2024-11-25T10:50:13+08:00
支援功能[0] ai-transcript