iVOD / 163034

Field Value
IVOD_ID 163034
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163034
日期 2025-07-09
會議資料.會議代碼 全院委員會-11-3-4
會議資料.會議代碼:str 第11屆第3會期第4次全院委員會會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 4
會議資料.種類 全院委員會
會議資料.標題 第11屆第3會期第4次全院委員會會議
影片種類 Clip
開始時間 2025-07-09T11:04:21+08:00
結束時間 2025-07-09T11:24:44+08:00
影片長度 00:20:23
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/29dd8432533c2d588229d64fe392b5b4914535bb497189ef8774e4c670b29f4374881cda51d8a84a5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 林淑芬
委員發言時間 11:04:21 - 11:24:44
會議時間 2025-07-09T09:00:00+08:00
會議名稱 第11屆第3會期第4次全院委員會會議(事由:總統咨,為司法院大法官含院長、副院長,現有缺額7名,茲依據中華民國憲法增修條文第5條規定,提名蔡秋明、蘇素娥、蕭文生、鄭純惠、林麗瑩、陳慈陽、詹鎮榮7位為司法院大法官,並以蔡秋明為院長、蘇素娥為副院長,咨請同意案。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 2.93346875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 10.45971875
transcript.pyannote[1].end 11.05034375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 11.05034375
transcript.pyannote[2].end 11.08409375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 11.43846875
transcript.pyannote[3].end 13.51409375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 16.82159375
transcript.pyannote[4].end 24.22971875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 27.13221875
transcript.pyannote[5].end 33.88221875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 34.89471875
transcript.pyannote[6].end 36.95346875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 37.24034375
transcript.pyannote[7].end 39.82221875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 39.92346875
transcript.pyannote[8].end 44.68221875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 45.12096875
transcript.pyannote[9].end 49.45784375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 50.70659375
transcript.pyannote[10].end 114.93284375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 115.57409375
transcript.pyannote[11].end 116.09721875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 116.14784375
transcript.pyannote[12].end 128.43284375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 129.58034375
transcript.pyannote[13].end 130.86284375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 131.11596875
transcript.pyannote[14].end 131.36909375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 131.72346875
transcript.pyannote[15].end 138.97971875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 140.86971875
transcript.pyannote[16].end 164.35971875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 164.91659375
transcript.pyannote[17].end 166.26659375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 167.17784375
transcript.pyannote[18].end 169.45596875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 171.21096875
transcript.pyannote[19].end 171.39659375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 172.15596875
transcript.pyannote[20].end 173.20221875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 173.94471875
transcript.pyannote[21].end 174.28221875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 174.67034375
transcript.pyannote[22].end 176.00346875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 176.15534375
transcript.pyannote[23].end 179.47971875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 180.12096875
transcript.pyannote[24].end 184.13721875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 184.67721875
transcript.pyannote[25].end 191.69721875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 192.25409375
transcript.pyannote[26].end 198.32909375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 198.90284375
transcript.pyannote[27].end 200.84346875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 201.18096875
transcript.pyannote[28].end 202.93596875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 203.62784375
transcript.pyannote[29].end 205.55159375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 206.17596875
transcript.pyannote[30].end 208.25159375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 209.38221875
transcript.pyannote[31].end 214.88346875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 215.11971875
transcript.pyannote[32].end 221.63346875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 223.84409375
transcript.pyannote[33].end 227.94471875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 228.73784375
transcript.pyannote[34].end 230.56034375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 231.08346875
transcript.pyannote[35].end 237.69846875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 237.79971875
transcript.pyannote[36].end 240.61784375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 242.13659375
transcript.pyannote[37].end 242.33909375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 243.72284375
transcript.pyannote[38].end 245.19096875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 245.14034375
transcript.pyannote[39].end 246.16971875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 246.64221875
transcript.pyannote[40].end 248.44784375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 248.81909375
transcript.pyannote[41].end 249.22409375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 249.56159375
transcript.pyannote[42].end 251.78909375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 251.94096875
transcript.pyannote[43].end 258.30284375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 252.14346875
transcript.pyannote[44].end 252.39659375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 258.69096875
transcript.pyannote[45].end 283.53096875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 284.74596875
transcript.pyannote[46].end 285.75846875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 287.90159375
transcript.pyannote[47].end 292.87971875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 293.35221875
transcript.pyannote[48].end 295.90034375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 296.72721875
transcript.pyannote[49].end 298.90409375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 299.34284375
transcript.pyannote[50].end 303.10596875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 303.89909375
transcript.pyannote[51].end 307.86471875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 308.37096875
transcript.pyannote[52].end 310.51409375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 311.72909375
transcript.pyannote[53].end 313.14659375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 312.55596875
transcript.pyannote[54].end 314.09159375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 314.68221875
transcript.pyannote[55].end 316.53846875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 317.66909375
transcript.pyannote[56].end 320.35221875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 320.28471875
transcript.pyannote[57].end 323.47409375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 320.72346875
transcript.pyannote[58].end 321.73596875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 324.09846875
transcript.pyannote[59].end 326.76471875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 327.30471875
transcript.pyannote[60].end 329.81909375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 330.35909375
transcript.pyannote[61].end 335.43846875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 336.18096875
transcript.pyannote[62].end 339.43784375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 339.79221875
transcript.pyannote[63].end 348.56721875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 348.93846875
transcript.pyannote[64].end 353.88284375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 354.33846875
transcript.pyannote[65].end 356.22846875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 356.48159375
transcript.pyannote[66].end 359.29971875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 359.67096875
transcript.pyannote[67].end 372.73221875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 374.08221875
transcript.pyannote[68].end 376.02284375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 376.25909375
transcript.pyannote[69].end 377.35596875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 378.25034375
transcript.pyannote[70].end 381.16971875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 381.57471875
transcript.pyannote[71].end 384.15659375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 384.54471875
transcript.pyannote[72].end 394.36596875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 395.53034375
transcript.pyannote[73].end 399.88409375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 400.00221875
transcript.pyannote[74].end 410.63346875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 411.02159375
transcript.pyannote[75].end 414.29534375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 414.95346875
transcript.pyannote[76].end 419.10471875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 419.30721875
transcript.pyannote[77].end 429.78659375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 430.36034375
transcript.pyannote[78].end 434.12346875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 434.46096875
transcript.pyannote[79].end 440.95784375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 441.34596875
transcript.pyannote[80].end 449.39534375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 449.71596875
transcript.pyannote[81].end 471.85596875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 472.46346875
transcript.pyannote[82].end 473.50971875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 474.21846875
transcript.pyannote[83].end 480.63096875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 481.74471875
transcript.pyannote[84].end 486.84096875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 487.90409375
transcript.pyannote[85].end 491.68409375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 492.32534375
transcript.pyannote[86].end 494.94096875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 495.81846875
transcript.pyannote[87].end 496.89846875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 496.94909375
transcript.pyannote[88].end 505.92659375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 504.13784375
transcript.pyannote[89].end 506.85471875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 507.51284375
transcript.pyannote[90].end 508.23846875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 508.82909375
transcript.pyannote[91].end 524.80971875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 509.13284375
transcript.pyannote[92].end 510.38159375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 525.50159375
transcript.pyannote[93].end 525.97409375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 525.55221875
transcript.pyannote[94].end 531.88034375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 531.49221875
transcript.pyannote[95].end 534.79971875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 535.60971875
transcript.pyannote[96].end 536.21721875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 536.87534375
transcript.pyannote[97].end 544.16534375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 544.18221875
transcript.pyannote[98].end 546.66284375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 547.25346875
transcript.pyannote[99].end 555.89346875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 556.56846875
transcript.pyannote[100].end 563.89221875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 563.97659375
transcript.pyannote[101].end 570.60846875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 571.63784375
transcript.pyannote[102].end 581.35784375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 581.50971875
transcript.pyannote[103].end 586.94346875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 587.34846875
transcript.pyannote[104].end 590.04846875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 590.58846875
transcript.pyannote[105].end 592.51221875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 592.83284375
transcript.pyannote[106].end 615.51284375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 617.52096875
transcript.pyannote[107].end 620.32221875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 621.14909375
transcript.pyannote[108].end 622.44846875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 623.83221875
transcript.pyannote[109].end 624.92909375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 626.76846875
transcript.pyannote[110].end 627.81471875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 629.23221875
transcript.pyannote[111].end 636.91034375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 629.41784375
transcript.pyannote[112].end 629.94096875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 638.58096875
transcript.pyannote[113].end 642.79971875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 644.28471875
transcript.pyannote[114].end 646.24221875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 646.69784375
transcript.pyannote[115].end 648.53721875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 648.82409375
transcript.pyannote[116].end 652.01346875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 652.23284375
transcript.pyannote[117].end 653.22846875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 653.41409375
transcript.pyannote[118].end 656.73846875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 654.52784375
transcript.pyannote[119].end 655.16909375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 655.20284375
transcript.pyannote[120].end 655.21971875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 658.89846875
transcript.pyannote[121].end 659.99534375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 661.12596875
transcript.pyannote[122].end 663.10034375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 663.89346875
transcript.pyannote[123].end 698.53784375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 698.95971875
transcript.pyannote[124].end 702.68909375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 703.06034375
transcript.pyannote[125].end 707.98784375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 708.91596875
transcript.pyannote[126].end 709.57409375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 709.94534375
transcript.pyannote[127].end 714.29909375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 715.19346875
transcript.pyannote[128].end 727.09034375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 727.69784375
transcript.pyannote[129].end 729.73971875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 730.19534375
transcript.pyannote[130].end 733.06409375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 733.53659375
transcript.pyannote[131].end 740.43846875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 741.28221875
transcript.pyannote[132].end 747.88034375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 749.07846875
transcript.pyannote[133].end 749.83784375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 749.98971875
transcript.pyannote[134].end 753.60096875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 754.17471875
transcript.pyannote[135].end 770.83034375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 771.11721875
transcript.pyannote[136].end 779.57159375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 780.04409375
transcript.pyannote[137].end 781.09034375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 781.52909375
transcript.pyannote[138].end 784.41471875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 784.92096875
transcript.pyannote[139].end 786.30471875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 786.60846875
transcript.pyannote[140].end 790.03409375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 790.55721875
transcript.pyannote[141].end 794.01659375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 794.25284375
transcript.pyannote[142].end 795.23159375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 795.38346875
transcript.pyannote[143].end 812.41034375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 813.10221875
transcript.pyannote[144].end 813.60846875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 814.28346875
transcript.pyannote[145].end 814.77284375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 815.32971875
transcript.pyannote[146].end 816.03846875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 816.98346875
transcript.pyannote[147].end 818.50221875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 819.04221875
transcript.pyannote[148].end 824.99909375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 825.72471875
transcript.pyannote[149].end 835.52909375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 836.10284375
transcript.pyannote[150].end 840.87846875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 841.50284375
transcript.pyannote[151].end 842.90346875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 843.59534375
transcript.pyannote[152].end 866.78159375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 867.76034375
transcript.pyannote[153].end 870.02159375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 871.23659375
transcript.pyannote[154].end 873.59909375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 874.02096875
transcript.pyannote[155].end 876.16409375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 877.36221875
transcript.pyannote[156].end 907.65284375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 908.17596875
transcript.pyannote[157].end 909.62721875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 910.92659375
transcript.pyannote[158].end 918.23346875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 918.60471875
transcript.pyannote[159].end 928.24034375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 929.10096875
transcript.pyannote[160].end 936.28971875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 937.13346875
transcript.pyannote[161].end 937.58909375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 938.17971875
transcript.pyannote[162].end 969.95534375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 970.20846875
transcript.pyannote[163].end 979.05096875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 979.75971875
transcript.pyannote[164].end 989.74971875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 990.28971875
transcript.pyannote[165].end 992.07846875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 992.66909375
transcript.pyannote[166].end 1001.10659375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 1001.89971875
transcript.pyannote[167].end 1006.97909375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 1007.51909375
transcript.pyannote[168].end 1010.99534375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 1011.61971875
transcript.pyannote[169].end 1016.61471875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 1017.42471875
transcript.pyannote[170].end 1046.92221875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 1047.90096875
transcript.pyannote[171].end 1048.77846875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 1049.23409375
transcript.pyannote[172].end 1051.22534375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 1051.54596875
transcript.pyannote[173].end 1061.73846875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 1062.59909375
transcript.pyannote[174].end 1069.01159375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 1070.00721875
transcript.pyannote[175].end 1070.69909375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 1071.03659375
transcript.pyannote[176].end 1075.18784375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 1075.64346875
transcript.pyannote[177].end 1076.41971875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 1076.60534375
transcript.pyannote[178].end 1082.51159375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 1082.96721875
transcript.pyannote[179].end 1086.37596875
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 1087.08471875
transcript.pyannote[180].end 1119.70409375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 1120.98659375
transcript.pyannote[181].end 1121.40846875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 1121.83034375
transcript.pyannote[182].end 1123.73721875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 1124.17596875
transcript.pyannote[183].end 1142.56971875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 1143.98721875
transcript.pyannote[184].end 1175.30721875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 1176.91034375
transcript.pyannote[185].end 1179.23909375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 1179.71159375
transcript.pyannote[186].end 1190.12346875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 1191.25409375
transcript.pyannote[187].end 1202.22284375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 1202.61096875
transcript.pyannote[188].end 1208.50034375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 1209.49596875
transcript.pyannote[189].end 1211.38596875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 1213.05659375
transcript.pyannote[190].end 1215.11534375
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 1218.87846875
transcript.pyannote[191].end 1220.85284375
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 1221.22409375
transcript.pyannote[192].end 1222.96221875
transcript.whisperx[0].start 0.089
transcript.whisperx[0].end 2.831
transcript.whisperx[0].text 請蔡提名人麻煩蔡被提名人議員好被提名的人這樣子說好了你知道這個橋頭地院有一個法官叫石育恩這一個個案你有印象嗎
transcript.whisperx[1].start 27.256
transcript.whisperx[1].end 33.619
transcript.whisperx[1].text 那這樣講好了法官幫詐騙集團藏錢這個個案你有印象嗎我好像在媒體上有看到好像你是被提名人了然後你對這樣的個案有什麼樣的看法聽起來你好像對細節並不是很清楚這樣子說好了
transcript.whisperx[2].start 51.465
transcript.whisperx[2].end 76.233
transcript.whisperx[2].text 他被地檢署偵辦律師鄭宏威擔任律師擔任詐騙集團的軍師的時候他發現有16個律師串聯在一起成為一個群組幫詐騙集團到各地檢署還有到各法院去替詐騙集團監控招待的車手更離譜的是橋樓地院的法官石育恩還有
transcript.whisperx[3].start 76.693
transcript.whisperx[3].end 94.858
transcript.whisperx[3].text 桃園地檢署的檢察官你們以前的這個地檢署的系統吳雅芝也捲入而且詐騙集團還把錢藏在法院石玉恩這個法官還揪其他的法官一起買房子要去洗錢揪房 揪團買房洗錢
transcript.whisperx[4].start 100.06
transcript.whisperx[4].end 128.097
transcript.whisperx[4].text 然後呢 在這個過程被案發東窗事發了以後呢石玉恩還開著價值350萬的保時捷跑車趕快跑到地方法院把錢搬走 然後被逮然後看守所裡面 我現在問你你知道看守所裡面羈押的過去以前一半以上都是酒駕現在一半以上都是什麼 你知道嗎
transcript.whisperx[5].start 129.565
transcript.whisperx[5].end 135.433
transcript.whisperx[5].text 你知道嗎 研修所你檢查系統 你不知道嗎你研修所裡面關的一半以上都是詐騙集團的車手
transcript.whisperx[6].start 140.939
transcript.whisperx[6].end 169.225
transcript.whisperx[6].text 是 你現在才 你有接地氣嗎我現在很擔心耶我現在要跟你講這件事情是因為詐騙問題很嚴重啊然後呢 跟他們關在一起的人出來描述給我的朋友聽的他說 這些年輕的車手問他們出去以後會不會想再從事這個詐騙的工作他們說 會為什麼會 你知道嗎啊 被提名人你知道嗎 猜猜看
transcript.whisperx[7].start 172.182
transcript.whisperx[7].end 197.232
transcript.whisperx[7].text 因為判了不重 因為是判了太輕判了太輕不是問題 他們都認罪在詐騙集團被抓到 這些車手都認罪關了以後還要出來當詐騙的原因是因為外面領三萬五萬的薪水 太少了在外面隨便當車手 吃香喝辣 收入豐沃
transcript.whisperx[8].start 199.028
transcript.whisperx[8].end 204.77
transcript.whisperx[8].text 我現在要說的不是要說這位車手我現在要說的是 把官給檢測官有錢能使鬼推磨這個問題啦 因為你是被提名人而且檢查系統更嚴重 你有什麼看法你對制度面的防弊 你有什麼看法你敢不敢說我們聽一下
transcript.whisperx[9].start 225.038
transcript.whisperx[9].end 240.15
transcript.whisperx[9].text 這是一個困難的問題第一個我對案件的細節其實不瞭解我沒有在說案件我現在在說對於檢察官法官無法抗拒誘惑因為檢察官薪水一個月多少一個月應該有10萬塊以上10萬塊以上會關一個月薪水多少
transcript.whisperx[10].start 249.684
transcript.whisperx[10].end 251.145
transcript.whisperx[10].text 我現在要跟你說的意思是詐騙集團青菜和椰子都比這個還多
transcript.whisperx[11].start 258.735
transcript.whisperx[11].end 283.326
transcript.whisperx[11].text 大家在外面吃香喝辣檢察官法官啦 抗拒誘惑難很多 但是絕大多數還是正派的我現在問你是 你要來做議定 被提名了你也 總統跟你說 我要跟你交提名你好不好 你也說好 我勇於認識 我不會啊 我要問你啊 這要安裝改革 要安裝防備我是要問你這個啦
transcript.whisperx[12].start 288.05
transcript.whisperx[12].end 310.443
transcript.whisperx[12].text 現在你知道對人民來說 當警察 檢察官 法官抓鬼的人被鬼抓了你叫人民情何以堪啊你讓我們這些人民要叫誰來保護啊所以你的司法最後一道防線也瓦解了你覺得這個事情是多嚴重你有想過嗎如同剛剛委員提過的是
transcript.whisperx[13].start 317.711
transcript.whisperx[13].end 334.958
transcript.whisperx[13].text 大部分的法官跟檢察官其實我現在要問你怎麼管理房幣啦不要去說那大部分那不能讓老鼠屎壞了一鍋粥啊那就要靠司法行政體系啊那我現在就是正在問你司法行政體系你要怎麼管理和房幣
transcript.whisperx[14].start 337.507
transcript.whisperx[14].end 353.635
transcript.whisperx[14].text 法官法在100年制定現在74條法官的職務評定只有良好跟不良好 兩種你知道法官法施行以前它的考積有三等
transcript.whisperx[15].start 354.395
transcript.whisperx[15].end 372.452
transcript.whisperx[15].text 法官法施行以後 甲等乙等的都變成良好 丙等的才叫做不良好你知道現在的法官法之下你有多少法官被評定為不良好的比例有多高你知道嗎我只知道我相當低
transcript.whisperx[16].start 378.294
transcript.whisperx[16].end 393.761
transcript.whisperx[16].text 第一道不成樣子啦 大家法官喔沒有棒子啦司法改革 我們的法官法制定以後現在司法形象變得雪上加霜 惡名昭彰
transcript.whisperx[17].start 395.718
transcript.whisperx[17].end 413.457
transcript.whisperx[17].text 現在不是司法獨立審判 讓這一種素行不良 違法亂作的法官變成他們的天堂然後破壞司法形象 連累政派的法官然後才有政客表演的空間
transcript.whisperx[18].start 414.98
transcript.whisperx[18].end 433.708
transcript.whisperx[18].text 政客表演整幾天都在法庭通過法庭直播事實上是一個一二審沒有直播原則都不直播但是因為太多人民受到法官權力上的侵害所以人民才會認為說要公開透明
transcript.whisperx[19].start 434.548
transcript.whisperx[19].end 448.903
transcript.whisperx[19].text 都是因為整個司法改革的過程司法行政體系獨執司法的行政體系不彰化棒子也沒有有職務監督的體制也不行使
transcript.whisperx[20].start 449.884
transcript.whisperx[20].end 471.392
transcript.whisperx[20].text 所以將敗壞司法形象才會讓政客到立法院來表演一個原則都不會直播的假直播只有圖利政治人物貪賭案件一定要直播的這一種假直播政治人物才有的司法特權的假直播
transcript.whisperx[21].start 472.572
transcript.whisperx[21].end 494.734
transcript.whisperx[21].text 只有這一種現在人民為什麼會這種高度期待誤以為立法院是真直播因為都是因為司法行政體系司法的職務監督公這個失效沒好沒好這樣你知道嗎你有什麼看法
transcript.whisperx[22].start 495.988
transcript.whisperx[22].end 517.48
transcript.whisperx[22].text 我想司法院有一個機構我想很清楚是懲戒法院懲戒法院在司法裡面你說懲戒法院懲戒的對象是所有的公務人員我現在說的是你自己司法行政人員的體系你要怎麼改不要跟我說懲戒法院
transcript.whisperx[23].start 519.221
transcript.whisperx[23].end 523.363
transcript.whisperx[23].text 您司法院的內部的把關機制是哪個委員會我們裡面有治理委員會還有審議委員會人審會啦 人審會啦
transcript.whisperx[24].start 535.643
transcript.whisperx[24].end 555.139
transcript.whisperx[24].text 所以違反法官法三十條的 才送外部的評鑑委員會法官評鑑委員會 大家都情節不重大情節重大 你也跟他說情節不重大然後要送評鑑委員會都送人審會
transcript.whisperx[25].start 556.633
transcript.whisperx[25].end 570.243
transcript.whisperx[25].text 人審會都口頭告誡 書面告誡有好嗎 敢有好 沒好啦連送法官評鑑的委員會的評鑑案件也輕輕放下
transcript.whisperx[26].start 575.233
transcript.whisperx[26].end 589.445
transcript.whisperx[26].text 最高行政法院吳東都以前在112年10月25就任的時候他表示法院院長事後看法官的裁判書事後判決之後
transcript.whisperx[27].start 590.806
transcript.whisperx[27].end 615.405
transcript.whisperx[27].text 沒有介入司法喔現在一直在看法官的裁判書不僅是權限更是院長的責任義務所以他說任內的工作重點之一就是要落實事後沿越法官裁判書的工作為什麼他要沿越法官的裁判書為什麼我想還是有一定程度的必要
transcript.whisperx[28].start 621.22
transcript.whisperx[28].end 622.52
transcript.whisperx[28].text 他幹什麼 他要幹什麼你是不是認同你認不認同現在再來 你知道庭長 庭長 審判長他們的分案量是減少的 你知道嗎他們為什麼要減少他們的分案量要叫他們做什麼 你知道嗎
transcript.whisperx[29].start 644.472
transcript.whisperx[29].end 656.487
transcript.whisperx[29].text 我想是主要是協助審查法官所做的應該是裁判的書類我不說啦 是要讓他們去做職務監督啦職務監督 這個是法律有據的啦
transcript.whisperx[30].start 663.942
transcript.whisperx[30].end 691.803
transcript.whisperx[30].text 法官法第19條規定法官與其獨立審判不受影響的限度內受職務監督職務監督包括制止法官違法行使職權糾正法官不當言行及督促法官依法迅速執行職務第20條規定各級法院院長當法官發生不當言行或違私行使職權各級法院院長應善盡其職務監督之
transcript.whisperx[31].start 693.684
transcript.whisperx[31].end 714.031
transcript.whisperx[31].text 以亡羊補牢 避免法官失去其職務分際及自律能力19條20條法律都授權給你 所以我才說我們現在沒有所謂的這個考積把它改成全部都只有良好跟不良好
transcript.whisperx[32].start 715.319
transcript.whisperx[32].end 735.517
transcript.whisperx[32].text 不良好的有夠少 但是要搭配職務監督給你庭長 給你審判長 給你院長都讓你們減少分量 分案量要讓你去做職務監督可是呢 大家都沒有人要做派人庭長 審判長只是一個頭銜 這都拿外面拿出來社交當工具啦
transcript.whisperx[33].start 741.368
transcript.whisperx[33].end 744.191
transcript.whisperx[33].text 社交工具 來 這個庭長要來跟我們吃飯這個審判長要來跟我們吃飯 吃得很爽
transcript.whisperx[34].start 749.087
transcript.whisperx[34].end 766.432
transcript.whisperx[34].text 但是呢 他們只想要享受這一個頭銜這個頭銜的權利 走出去都很好用的但是 賦予這個頭銜的責任 沒有人要承擔所以停頓 先破頓 現在大家都在等 先刮 做停頓啊 審判長 庭長這很硬的啊 要走很久的啊
transcript.whisperx[35].start 774.375
transcript.whisperx[35].end 783.854
transcript.whisperx[35].text 人家請他們吃飯但是呢 植物監督沒有人要去做現在變成怎樣失去了平衡的法官
transcript.whisperx[36].start 785.063
transcript.whisperx[36].end 814.593
transcript.whisperx[36].text 司法制度沒有蘿蔔棒子蘿蔔薪水這麼低詐騙集團一誘惑就跑了棒子沒人要做派人所以我現在再問你一次吳東都院長他說司法判決後看司法看法官的裁判書不僅是權限而且還是院長的責任義務你同不同意我同意同意
transcript.whisperx[37].start 819.087
transcript.whisperx[37].end 842.307
transcript.whisperx[37].text 法官法第十九條 還有法官法第三十五條法官評鑑委員會司法院組成的你如果送 其實都是法官和法官相互包庇可以要送評鑑委員會的 都送人審會啦然後評鑑委員會又輕輕放下在這種過程裡面喔 大家都不要做壞人
transcript.whisperx[38].start 843.746
transcript.whisperx[38].end 864.281
transcript.whisperx[38].text 平建委員會法官法第35條第6項有一個規定法官平建委員會為確定行為模式的必要得就未經請求的違實情勢予以調查和審議你選一個案件 各案聯合平建委員會但是 為什麼我們要做這個法官法第35條第6項的這一個立法我剛才說這個要立法要從何你認識
transcript.whisperx[39].start 871.457
transcript.whisperx[39].end 871.657
transcript.whisperx[39].text 就是說
transcript.whisperx[40].start 878.544
transcript.whisperx[40].end 907.055
transcript.whisperx[40].text 不當行為你這個法官已經人審會包庇不住了重大到要到評鑑委員會來了好你這個行為是無所謂無中的毋依為之的還是你這樣的審理案子的行為模式是一個行為模式如果是一個行為模式我們現在要說受害者絕對不會是只有一個不會是只有兩個
transcript.whisperx[41].start 908.243
transcript.whisperx[41].end 934.524
transcript.whisperx[41].text 很多啦所以有問題的法官通常都是慣行慣犯行為模式都一樣的但是呢法官法第35條第6條評鑑的時候可以就沒有人來請託把他過去所有的審理看他的狀況有沒有為師都一併調查和審議沒人要走沒人要走
transcript.whisperx[42].start 937.148
transcript.whisperx[42].end 941.773
transcript.whisperx[42].text 因為你來自檢查體系法官的不當行為2023年10月16號士林地方法院法官蘇錦秀在法官論壇他變成只能對外放話了
transcript.whisperx[43].start 960.731
transcript.whisperx[43].end 978.499
transcript.whisperx[43].text 他擔任陪席法官的時候有何義廷三名法官共同評議以後結果這個庭長就曉白了人三個人各標管2比1庭長卻拒絕在審判書上簽名因為他是一個的那一個少數
transcript.whisperx[44].start 980.073
transcript.whisperx[44].end 998.457
transcript.whisperx[44].text 違反民事訴訟法第227條前項 違判決的法官應與判決書內簽名 以及法院組織法第105條他違反了這樣的規定 這麼重大 他不是送評鑑委員會他送人審會啦 人審會認為沒有為師啦
transcript.whisperx[45].start 1002.126
transcript.whisperx[45].end 1015.948
transcript.whisperx[45].text 這一個庭長還威脅書記官不准公告判決主文因為他的個人看法跟兩個人的看法不一樣所以導致宣判當日沒有辦法依法公告主文
transcript.whisperx[46].start 1021.878
transcript.whisperx[46].end 1043.635
transcript.whisperx[46].text 2023年11月7號媒體報導最高行政法院審理案件的時候發現一審的台北高等行政法院法官周泰德他沒有參與言辭辯論卻直接參與審判違反刑事訴訟法第188條法官非參與言辭沒有參與裁判基礎的辯論者不得參與裁判
transcript.whisperx[47].start 1049.339
transcript.whisperx[47].end 1061.486
transcript.whisperx[47].text 培喜法官彭康凡他還把自己簽名簽在裁判長他在言辭辯論的筆錄當中簽名自己是裁判長都很明顯違法程序面民事訴訟法規定這個法官若不是視若無睹視為
transcript.whisperx[48].start 1070.166
transcript.whisperx[48].end 1085.967
transcript.whisperx[48].text 是不當一回事 看不在眼裡 視法律如無物喔要行依法判決的法官 把法律踩在腳底下多得很啦 多得很啦 這種不孝的法官喔 很多
transcript.whisperx[49].start 1087.148
transcript.whisperx[49].end 1112.043
transcript.whisperx[49].text 明顯違法不安全 我再講一下 你聽啊2023年11月14日司法院人事處公布了人審會的決議針對新北地方法院民事庭裡昭榮法官在審理過程當中沒有向當事人說明合意 你們兩個如果合意停止訴訟 何蓋停止了所產生的法律效果沒有提醒書記官要注意後續的聯繫
transcript.whisperx[50].start 1113.344
transcript.whisperx[50].end 1142.161
transcript.whisperx[50].text 導致當事人的案件被視為撤回起訴影響訴訟權益重大還有2021年3月苗栗地方法官周靜妮對當事人動以私刑要受年當庭掌嘴下跪還欺負社工還揚言要在法院放火這種的 以這個個案 監察院也糾正過監察院糾正我念不念你聽
transcript.whisperx[51].start 1144.903
transcript.whisperx[51].end 1157.11
transcript.whisperx[51].text 監察院糾正周敬禮法官的違法行為發現周敬禮法官從104年開始就出現無故嚴當羈押案件審理以及辦案瑕疵等狀況未能發揮預防功效
transcript.whisperx[52].start 1160.672
transcript.whisperx[52].end 1189.009
transcript.whisperx[52].text 周靜怡法官自稱 她是身心症狀況困擾不是只有台南辦會說自己是精神病 臉發光自己也說自己有精神困擾 精神病臉發光就知道這可以推出那監察院說 司法院沒有善盡關懷輔導責任也沒有合理的調整法官職務以協助法官調整身心 降低法官不適任的狀況現在要說的就是說
transcript.whisperx[53].start 1191.608
transcript.whisperx[53].end 1207.371
transcript.whisperx[53].text 這裡做議定委 做庭定委都沒有人在行使職務監督這裡活瓜不肖的法官無法無天繼續敗壞司法的形象這裡是問題這裡有立法院整天在這裡假改革所以院長責任重不重大這是非常要緊的事
transcript.whisperx[54].start 1219.506
transcript.whisperx[54].end 1222.705
transcript.whisperx[54].text 謝謝林子芬委員的詢問也謝謝我們被提名的