iVOD / 158867

Field Value
IVOD_ID 158867
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/158867
日期 2025-01-15
會議資料.會議代碼 委員會-11-2-36-29
會議資料.會議代碼:str 第11屆第2會期司法及法制委員會第29次全體委員會議
會議資料.屆 11
會議資料.會期 2
會議資料.會次 29
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2會期司法及法制委員會第29次全體委員會議
影片種類 Clip
開始時間 2025-01-15T09:13:21+08:00
結束時間 2025-01-15T09:31:33+08:00
影片長度 00:18:12
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/427ddbb1724b1d1ae6dbdd5173204b451cb09e2058dd4a023641ee913381949df08deeda106faf485ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃國昌
委員發言時間 09:13:21 - 09:31:33
會議時間 2025-01-15T09:00:00+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29次全體委員會議(事由:邀請司法院、法務部率所屬相關單位列席就「司法訴訟實務上關於預防性權利救濟之適用」進行專題報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 11.10096875
transcript.pyannote[0].end 19.01534375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 19.18409375
transcript.pyannote[1].end 20.28096875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 28.54971875
transcript.pyannote[2].end 32.31284375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 32.56596875
transcript.pyannote[3].end 35.45159375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 35.83971875
transcript.pyannote[4].end 42.97784375
transcript.pyannote[5].speaker SPEAKER_05
transcript.pyannote[5].start 42.97784375
transcript.pyannote[5].end 43.06221875
transcript.pyannote[6].speaker SPEAKER_05
transcript.pyannote[6].start 43.66971875
transcript.pyannote[6].end 53.50784375
transcript.pyannote[7].speaker SPEAKER_05
transcript.pyannote[7].start 54.08159375
transcript.pyannote[7].end 62.21534375
transcript.pyannote[8].speaker SPEAKER_05
transcript.pyannote[8].start 63.32909375
transcript.pyannote[8].end 64.81409375
transcript.pyannote[9].speaker SPEAKER_05
transcript.pyannote[9].start 65.69159375
transcript.pyannote[9].end 69.47159375
transcript.pyannote[10].speaker SPEAKER_05
transcript.pyannote[10].start 69.55596875
transcript.pyannote[10].end 70.50096875
transcript.pyannote[11].speaker SPEAKER_05
transcript.pyannote[11].start 70.92284375
transcript.pyannote[11].end 80.13659375
transcript.pyannote[12].speaker SPEAKER_05
transcript.pyannote[12].start 80.77784375
transcript.pyannote[12].end 89.92409375
transcript.pyannote[13].speaker SPEAKER_05
transcript.pyannote[13].start 90.17721875
transcript.pyannote[13].end 92.20221875
transcript.pyannote[14].speaker SPEAKER_05
transcript.pyannote[14].start 94.64909375
transcript.pyannote[14].end 97.70346875
transcript.pyannote[15].speaker SPEAKER_05
transcript.pyannote[15].start 99.37409375
transcript.pyannote[15].end 100.31909375
transcript.pyannote[16].speaker SPEAKER_05
transcript.pyannote[16].start 101.60159375
transcript.pyannote[16].end 104.09909375
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 105.33096875
transcript.pyannote[17].end 105.38159375
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 105.85409375
transcript.pyannote[18].end 108.68909375
transcript.pyannote[19].speaker SPEAKER_05
transcript.pyannote[19].start 108.97596875
transcript.pyannote[19].end 112.60409375
transcript.pyannote[20].speaker SPEAKER_05
transcript.pyannote[20].start 112.95846875
transcript.pyannote[20].end 113.63346875
transcript.pyannote[21].speaker SPEAKER_05
transcript.pyannote[21].start 114.61221875
transcript.pyannote[21].end 115.03409375
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 115.03409375
transcript.pyannote[22].end 116.50221875
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 117.19409375
transcript.pyannote[23].end 126.42471875
transcript.pyannote[24].speaker SPEAKER_05
transcript.pyannote[24].start 126.42471875
transcript.pyannote[24].end 133.59659375
transcript.pyannote[25].speaker SPEAKER_05
transcript.pyannote[25].start 134.25471875
transcript.pyannote[25].end 134.86221875
transcript.pyannote[26].speaker SPEAKER_05
transcript.pyannote[26].start 135.89159375
transcript.pyannote[26].end 138.87846875
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 140.90346875
transcript.pyannote[27].end 154.97721875
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 157.67721875
transcript.pyannote[28].end 171.91971875
transcript.pyannote[29].speaker SPEAKER_05
transcript.pyannote[29].start 172.05471875
transcript.pyannote[29].end 173.16846875
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 173.38784375
transcript.pyannote[30].end 174.90659375
transcript.pyannote[31].speaker SPEAKER_05
transcript.pyannote[31].start 174.38346875
transcript.pyannote[31].end 176.32409375
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 176.32409375
transcript.pyannote[32].end 176.35784375
transcript.pyannote[33].speaker SPEAKER_05
transcript.pyannote[33].start 176.35784375
transcript.pyannote[33].end 176.37471875
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 176.37471875
transcript.pyannote[34].end 176.39159375
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 176.94846875
transcript.pyannote[35].end 177.30284375
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 177.99471875
transcript.pyannote[36].end 178.72034375
transcript.pyannote[37].speaker SPEAKER_05
transcript.pyannote[37].start 178.72034375
transcript.pyannote[37].end 178.75409375
transcript.pyannote[38].speaker SPEAKER_05
transcript.pyannote[38].start 178.80471875
transcript.pyannote[38].end 192.28784375
transcript.pyannote[39].speaker SPEAKER_05
transcript.pyannote[39].start 192.87846875
transcript.pyannote[39].end 194.88659375
transcript.pyannote[40].speaker SPEAKER_05
transcript.pyannote[40].start 195.42659375
transcript.pyannote[40].end 197.53596875
transcript.pyannote[41].speaker SPEAKER_05
transcript.pyannote[41].start 198.14346875
transcript.pyannote[41].end 199.27409375
transcript.pyannote[42].speaker SPEAKER_05
transcript.pyannote[42].start 201.28221875
transcript.pyannote[42].end 202.48034375
transcript.pyannote[43].speaker SPEAKER_05
transcript.pyannote[43].start 203.37471875
transcript.pyannote[43].end 204.60659375
transcript.pyannote[44].speaker SPEAKER_05
transcript.pyannote[44].start 205.58534375
transcript.pyannote[44].end 209.87159375
transcript.pyannote[45].speaker SPEAKER_05
transcript.pyannote[45].start 211.47471875
transcript.pyannote[45].end 212.21721875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 215.37284375
transcript.pyannote[46].end 218.57909375
transcript.pyannote[47].speaker SPEAKER_05
transcript.pyannote[47].start 219.81096875
transcript.pyannote[47].end 220.50284375
transcript.pyannote[48].speaker SPEAKER_05
transcript.pyannote[48].start 220.82346875
transcript.pyannote[48].end 221.93721875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 223.05096875
transcript.pyannote[49].end 223.54034375
transcript.pyannote[50].speaker SPEAKER_05
transcript.pyannote[50].start 223.99596875
transcript.pyannote[50].end 224.48534375
transcript.pyannote[51].speaker SPEAKER_05
transcript.pyannote[51].start 225.21096875
transcript.pyannote[51].end 227.84346875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 228.72096875
transcript.pyannote[52].end 231.67409375
transcript.pyannote[53].speaker SPEAKER_05
transcript.pyannote[53].start 230.91471875
transcript.pyannote[53].end 235.30221875
transcript.pyannote[54].speaker SPEAKER_05
transcript.pyannote[54].start 235.60596875
transcript.pyannote[54].end 239.72346875
transcript.pyannote[55].speaker SPEAKER_05
transcript.pyannote[55].start 240.31409375
transcript.pyannote[55].end 242.77784375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 244.51596875
transcript.pyannote[56].end 248.02596875
transcript.pyannote[57].speaker SPEAKER_05
transcript.pyannote[57].start 247.50284375
transcript.pyannote[57].end 249.49409375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 250.28721875
transcript.pyannote[58].end 254.08409375
transcript.pyannote[59].speaker SPEAKER_05
transcript.pyannote[59].start 252.75096875
transcript.pyannote[59].end 260.63159375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 260.64846875
transcript.pyannote[60].end 265.05284375
transcript.pyannote[61].speaker SPEAKER_05
transcript.pyannote[61].start 265.05284375
transcript.pyannote[61].end 267.01034375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 266.55471875
transcript.pyannote[62].end 266.82471875
transcript.pyannote[63].speaker SPEAKER_05
transcript.pyannote[63].start 267.63471875
transcript.pyannote[63].end 274.99221875
transcript.pyannote[64].speaker SPEAKER_05
transcript.pyannote[64].start 277.92846875
transcript.pyannote[64].end 277.94534375
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 277.94534375
transcript.pyannote[65].end 278.29971875
transcript.pyannote[66].speaker SPEAKER_05
transcript.pyannote[66].start 278.29971875
transcript.pyannote[66].end 278.36721875
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 278.36721875
transcript.pyannote[67].end 278.38409375
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 278.67096875
transcript.pyannote[68].end 281.30346875
transcript.pyannote[69].speaker SPEAKER_05
transcript.pyannote[69].start 281.50596875
transcript.pyannote[69].end 283.44659375
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 284.25659375
transcript.pyannote[70].end 284.27346875
transcript.pyannote[71].speaker SPEAKER_05
transcript.pyannote[71].start 284.27346875
transcript.pyannote[71].end 284.81346875
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 284.81346875
transcript.pyannote[72].end 284.96534375
transcript.pyannote[73].speaker SPEAKER_05
transcript.pyannote[73].start 284.96534375
transcript.pyannote[73].end 285.03284375
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 285.03284375
transcript.pyannote[74].end 285.18471875
transcript.pyannote[75].speaker SPEAKER_05
transcript.pyannote[75].start 285.18471875
transcript.pyannote[75].end 285.21846875
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 285.65721875
transcript.pyannote[76].end 287.78346875
transcript.pyannote[77].speaker SPEAKER_05
transcript.pyannote[77].start 287.78346875
transcript.pyannote[77].end 288.98159375
transcript.pyannote[78].speaker SPEAKER_05
transcript.pyannote[78].start 290.39909375
transcript.pyannote[78].end 291.81659375
transcript.pyannote[79].speaker SPEAKER_05
transcript.pyannote[79].start 292.25534375
transcript.pyannote[79].end 295.44471875
transcript.pyannote[80].speaker SPEAKER_05
transcript.pyannote[80].start 295.74846875
transcript.pyannote[80].end 311.30721875
transcript.pyannote[81].speaker SPEAKER_05
transcript.pyannote[81].start 311.96534375
transcript.pyannote[81].end 317.06159375
transcript.pyannote[82].speaker SPEAKER_05
transcript.pyannote[82].start 317.70284375
transcript.pyannote[82].end 319.22159375
transcript.pyannote[83].speaker SPEAKER_05
transcript.pyannote[83].start 319.49159375
transcript.pyannote[83].end 323.00159375
transcript.pyannote[84].speaker SPEAKER_05
transcript.pyannote[84].start 323.27159375
transcript.pyannote[84].end 326.24159375
transcript.pyannote[85].speaker SPEAKER_05
transcript.pyannote[85].start 327.10221875
transcript.pyannote[85].end 329.19471875
transcript.pyannote[86].speaker SPEAKER_05
transcript.pyannote[86].start 330.05534375
transcript.pyannote[86].end 331.20284375
transcript.pyannote[87].speaker SPEAKER_05
transcript.pyannote[87].start 332.04659375
transcript.pyannote[87].end 333.91971875
transcript.pyannote[88].speaker SPEAKER_05
transcript.pyannote[88].start 334.20659375
transcript.pyannote[88].end 339.06659375
transcript.pyannote[89].speaker SPEAKER_05
transcript.pyannote[89].start 339.72471875
transcript.pyannote[89].end 342.54284375
transcript.pyannote[90].speaker SPEAKER_05
transcript.pyannote[90].start 342.91409375
transcript.pyannote[90].end 347.03159375
transcript.pyannote[91].speaker SPEAKER_05
transcript.pyannote[91].start 347.52096875
transcript.pyannote[91].end 354.08534375
transcript.pyannote[92].speaker SPEAKER_05
transcript.pyannote[92].start 354.67596875
transcript.pyannote[92].end 355.85721875
transcript.pyannote[93].speaker SPEAKER_05
transcript.pyannote[93].start 356.14409375
transcript.pyannote[93].end 358.43909375
transcript.pyannote[94].speaker SPEAKER_05
transcript.pyannote[94].start 358.87784375
transcript.pyannote[94].end 360.64971875
transcript.pyannote[95].speaker SPEAKER_05
transcript.pyannote[95].start 361.17284375
transcript.pyannote[95].end 364.98659375
transcript.pyannote[96].speaker SPEAKER_05
transcript.pyannote[96].start 366.25221875
transcript.pyannote[96].end 366.74159375
transcript.pyannote[97].speaker SPEAKER_05
transcript.pyannote[97].start 367.80471875
transcript.pyannote[97].end 368.31096875
transcript.pyannote[98].speaker SPEAKER_05
transcript.pyannote[98].start 368.83409375
transcript.pyannote[98].end 370.65659375
transcript.pyannote[99].speaker SPEAKER_05
transcript.pyannote[99].start 373.81221875
transcript.pyannote[99].end 375.88784375
transcript.pyannote[100].speaker SPEAKER_05
transcript.pyannote[100].start 377.60909375
transcript.pyannote[100].end 383.02596875
transcript.pyannote[101].speaker SPEAKER_05
transcript.pyannote[101].start 383.44784375
transcript.pyannote[101].end 384.35909375
transcript.pyannote[102].speaker SPEAKER_05
transcript.pyannote[102].start 385.43909375
transcript.pyannote[102].end 397.84221875
transcript.pyannote[103].speaker SPEAKER_05
transcript.pyannote[103].start 398.80409375
transcript.pyannote[103].end 404.06909375
transcript.pyannote[104].speaker SPEAKER_05
transcript.pyannote[104].start 404.65971875
transcript.pyannote[104].end 413.77221875
transcript.pyannote[105].speaker SPEAKER_05
transcript.pyannote[105].start 414.81846875
transcript.pyannote[105].end 416.86034375
transcript.pyannote[106].speaker SPEAKER_05
transcript.pyannote[106].start 418.44659375
transcript.pyannote[106].end 434.02221875
transcript.pyannote[107].speaker SPEAKER_05
transcript.pyannote[107].start 434.54534375
transcript.pyannote[107].end 435.86159375
transcript.pyannote[108].speaker SPEAKER_05
transcript.pyannote[108].start 436.89096875
transcript.pyannote[108].end 438.12284375
transcript.pyannote[109].speaker SPEAKER_05
transcript.pyannote[109].start 438.32534375
transcript.pyannote[109].end 439.33784375
transcript.pyannote[110].speaker SPEAKER_05
transcript.pyannote[110].start 439.89471875
transcript.pyannote[110].end 441.31221875
transcript.pyannote[111].speaker SPEAKER_05
transcript.pyannote[111].start 441.95346875
transcript.pyannote[111].end 458.74409375
transcript.pyannote[112].speaker SPEAKER_05
transcript.pyannote[112].start 459.72284375
transcript.pyannote[112].end 482.25096875
transcript.pyannote[113].speaker SPEAKER_05
transcript.pyannote[113].start 483.22971875
transcript.pyannote[113].end 484.37721875
transcript.pyannote[114].speaker SPEAKER_05
transcript.pyannote[114].start 486.68909375
transcript.pyannote[114].end 488.57909375
transcript.pyannote[115].speaker SPEAKER_05
transcript.pyannote[115].start 489.06846875
transcript.pyannote[115].end 492.20721875
transcript.pyannote[116].speaker SPEAKER_05
transcript.pyannote[116].start 492.54471875
transcript.pyannote[116].end 493.79346875
transcript.pyannote[117].speaker SPEAKER_05
transcript.pyannote[117].start 494.08034375
transcript.pyannote[117].end 496.57784375
transcript.pyannote[118].speaker SPEAKER_05
transcript.pyannote[118].start 497.16846875
transcript.pyannote[118].end 497.89409375
transcript.pyannote[119].speaker SPEAKER_05
transcript.pyannote[119].start 498.77159375
transcript.pyannote[119].end 499.37909375
transcript.pyannote[120].speaker SPEAKER_05
transcript.pyannote[120].start 499.59846875
transcript.pyannote[120].end 500.32409375
transcript.pyannote[121].speaker SPEAKER_05
transcript.pyannote[121].start 501.26909375
transcript.pyannote[121].end 502.60221875
transcript.pyannote[122].speaker SPEAKER_05
transcript.pyannote[122].start 503.96909375
transcript.pyannote[122].end 505.60596875
transcript.pyannote[123].speaker SPEAKER_05
transcript.pyannote[123].start 506.56784375
transcript.pyannote[123].end 507.66471875
transcript.pyannote[124].speaker SPEAKER_05
transcript.pyannote[124].start 508.28909375
transcript.pyannote[124].end 514.68471875
transcript.pyannote[125].speaker SPEAKER_05
transcript.pyannote[125].start 515.84909375
transcript.pyannote[125].end 517.38471875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 519.15659375
transcript.pyannote[126].end 523.34159375
transcript.pyannote[127].speaker SPEAKER_05
transcript.pyannote[127].start 523.91534375
transcript.pyannote[127].end 526.44659375
transcript.pyannote[128].speaker SPEAKER_05
transcript.pyannote[128].start 526.85159375
transcript.pyannote[128].end 545.41409375
transcript.pyannote[129].speaker SPEAKER_05
transcript.pyannote[129].start 546.51096875
transcript.pyannote[129].end 552.67034375
transcript.pyannote[130].speaker SPEAKER_05
transcript.pyannote[130].start 553.54784375
transcript.pyannote[130].end 555.42096875
transcript.pyannote[131].speaker SPEAKER_05
transcript.pyannote[131].start 556.09596875
transcript.pyannote[131].end 560.07846875
transcript.pyannote[132].speaker SPEAKER_05
transcript.pyannote[132].start 560.83784375
transcript.pyannote[132].end 565.95096875
transcript.pyannote[133].speaker SPEAKER_05
transcript.pyannote[133].start 566.76096875
transcript.pyannote[133].end 568.60034375
transcript.pyannote[134].speaker SPEAKER_05
transcript.pyannote[134].start 569.47784375
transcript.pyannote[134].end 570.47346875
transcript.pyannote[135].speaker SPEAKER_05
transcript.pyannote[135].start 570.82784375
transcript.pyannote[135].end 573.37596875
transcript.pyannote[136].speaker SPEAKER_05
transcript.pyannote[136].start 573.98346875
transcript.pyannote[136].end 575.21534375
transcript.pyannote[137].speaker SPEAKER_05
transcript.pyannote[137].start 576.48096875
transcript.pyannote[137].end 577.98284375
transcript.pyannote[138].speaker SPEAKER_05
transcript.pyannote[138].start 578.64096875
transcript.pyannote[138].end 584.90159375
transcript.pyannote[139].speaker SPEAKER_05
transcript.pyannote[139].start 585.72846875
transcript.pyannote[139].end 586.50471875
transcript.pyannote[140].speaker SPEAKER_05
transcript.pyannote[140].start 587.33159375
transcript.pyannote[140].end 590.30159375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 592.37721875
transcript.pyannote[141].end 600.83159375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 600.86534375
transcript.pyannote[142].end 602.48534375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 602.90721875
transcript.pyannote[143].end 625.78971875
transcript.pyannote[144].speaker SPEAKER_05
transcript.pyannote[144].start 624.92909375
transcript.pyannote[144].end 627.51096875
transcript.pyannote[145].speaker SPEAKER_05
transcript.pyannote[145].start 627.78096875
transcript.pyannote[145].end 628.99596875
transcript.pyannote[146].speaker SPEAKER_05
transcript.pyannote[146].start 629.58659375
transcript.pyannote[146].end 630.76784375
transcript.pyannote[147].speaker SPEAKER_05
transcript.pyannote[147].start 631.12221875
transcript.pyannote[147].end 633.65346875
transcript.pyannote[148].speaker SPEAKER_05
transcript.pyannote[148].start 634.02471875
transcript.pyannote[148].end 638.63159375
transcript.pyannote[149].speaker SPEAKER_05
transcript.pyannote[149].start 638.74971875
transcript.pyannote[149].end 642.19221875
transcript.pyannote[150].speaker SPEAKER_05
transcript.pyannote[150].start 642.63096875
transcript.pyannote[150].end 658.81409375
transcript.pyannote[151].speaker SPEAKER_05
transcript.pyannote[151].start 659.37096875
transcript.pyannote[151].end 660.45096875
transcript.pyannote[152].speaker SPEAKER_04
transcript.pyannote[152].start 660.72096875
transcript.pyannote[152].end 661.10909375
transcript.pyannote[153].speaker SPEAKER_05
transcript.pyannote[153].start 661.36221875
transcript.pyannote[153].end 665.88471875
transcript.pyannote[154].speaker SPEAKER_05
transcript.pyannote[154].start 666.99846875
transcript.pyannote[154].end 669.91784375
transcript.pyannote[155].speaker SPEAKER_05
transcript.pyannote[155].start 670.71096875
transcript.pyannote[155].end 672.11159375
transcript.pyannote[156].speaker SPEAKER_05
transcript.pyannote[156].start 673.86659375
transcript.pyannote[156].end 700.42784375
transcript.pyannote[157].speaker SPEAKER_04
transcript.pyannote[157].start 676.43159375
transcript.pyannote[157].end 676.51596875
transcript.pyannote[158].speaker SPEAKER_05
transcript.pyannote[158].start 700.49534375
transcript.pyannote[158].end 703.12784375
transcript.pyannote[159].speaker SPEAKER_05
transcript.pyannote[159].start 703.51596875
transcript.pyannote[159].end 705.45659375
transcript.pyannote[160].speaker SPEAKER_05
transcript.pyannote[160].start 705.60846875
transcript.pyannote[160].end 707.19471875
transcript.pyannote[161].speaker SPEAKER_05
transcript.pyannote[161].start 708.59534375
transcript.pyannote[161].end 709.32096875
transcript.pyannote[162].speaker SPEAKER_05
transcript.pyannote[162].start 710.24909375
transcript.pyannote[162].end 711.00846875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 712.51034375
transcript.pyannote[163].end 716.07096875
transcript.pyannote[164].speaker SPEAKER_05
transcript.pyannote[164].start 714.13034375
transcript.pyannote[164].end 716.50971875
transcript.pyannote[165].speaker SPEAKER_05
transcript.pyannote[165].start 716.94846875
transcript.pyannote[165].end 718.68659375
transcript.pyannote[166].speaker SPEAKER_05
transcript.pyannote[166].start 719.20971875
transcript.pyannote[166].end 720.50909375
transcript.pyannote[167].speaker SPEAKER_05
transcript.pyannote[167].start 720.67784375
transcript.pyannote[167].end 727.90034375
transcript.pyannote[168].speaker SPEAKER_05
transcript.pyannote[168].start 728.59221875
transcript.pyannote[168].end 730.53284375
transcript.pyannote[169].speaker SPEAKER_05
transcript.pyannote[169].start 730.54971875
transcript.pyannote[169].end 739.40909375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 740.03346875
transcript.pyannote[170].end 742.75034375
transcript.pyannote[171].speaker SPEAKER_05
transcript.pyannote[171].start 743.12159375
transcript.pyannote[171].end 743.59409375
transcript.pyannote[172].speaker SPEAKER_05
transcript.pyannote[172].start 744.13409375
transcript.pyannote[172].end 745.45034375
transcript.pyannote[173].speaker SPEAKER_05
transcript.pyannote[173].start 746.07471875
transcript.pyannote[173].end 747.52596875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 747.94784375
transcript.pyannote[174].end 750.85034375
transcript.pyannote[175].speaker SPEAKER_05
transcript.pyannote[175].start 750.15846875
transcript.pyannote[175].end 751.22159375
transcript.pyannote[176].speaker SPEAKER_05
transcript.pyannote[176].start 751.69409375
transcript.pyannote[176].end 752.23409375
transcript.pyannote[177].speaker SPEAKER_05
transcript.pyannote[177].start 753.36471875
transcript.pyannote[177].end 755.05221875
transcript.pyannote[178].speaker SPEAKER_05
transcript.pyannote[178].start 755.47409375
transcript.pyannote[178].end 756.87471875
transcript.pyannote[179].speaker SPEAKER_05
transcript.pyannote[179].start 757.58346875
transcript.pyannote[179].end 758.81534375
transcript.pyannote[180].speaker SPEAKER_05
transcript.pyannote[180].start 760.43534375
transcript.pyannote[180].end 761.93721875
transcript.pyannote[181].speaker SPEAKER_05
transcript.pyannote[181].start 765.04221875
transcript.pyannote[181].end 765.53159375
transcript.pyannote[182].speaker SPEAKER_05
transcript.pyannote[182].start 767.32034375
transcript.pyannote[182].end 767.96159375
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 768.26534375
transcript.pyannote[183].end 768.63659375
transcript.pyannote[184].speaker SPEAKER_05
transcript.pyannote[184].start 770.66159375
transcript.pyannote[184].end 771.62346875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 771.82596875
transcript.pyannote[185].end 772.23096875
transcript.pyannote[186].speaker SPEAKER_05
transcript.pyannote[186].start 772.53471875
transcript.pyannote[186].end 773.02409375
transcript.pyannote[187].speaker SPEAKER_05
transcript.pyannote[187].start 773.39534375
transcript.pyannote[187].end 774.18846875
transcript.pyannote[188].speaker SPEAKER_05
transcript.pyannote[188].start 776.21346875
transcript.pyannote[188].end 778.77846875
transcript.pyannote[189].speaker SPEAKER_05
transcript.pyannote[189].start 779.52096875
transcript.pyannote[189].end 780.68534375
transcript.pyannote[190].speaker SPEAKER_05
transcript.pyannote[190].start 780.82034375
transcript.pyannote[190].end 783.55409375
transcript.pyannote[191].speaker SPEAKER_05
transcript.pyannote[191].start 784.00971875
transcript.pyannote[191].end 785.05596875
transcript.pyannote[192].speaker SPEAKER_05
transcript.pyannote[192].start 785.49471875
transcript.pyannote[192].end 787.95846875
transcript.pyannote[193].speaker SPEAKER_05
transcript.pyannote[193].start 788.70096875
transcript.pyannote[193].end 789.22409375
transcript.pyannote[194].speaker SPEAKER_05
transcript.pyannote[194].start 789.56159375
transcript.pyannote[194].end 794.96159375
transcript.pyannote[195].speaker SPEAKER_05
transcript.pyannote[195].start 795.50159375
transcript.pyannote[195].end 812.76471875
transcript.pyannote[196].speaker SPEAKER_05
transcript.pyannote[196].start 813.05159375
transcript.pyannote[196].end 814.03034375
transcript.pyannote[197].speaker SPEAKER_05
transcript.pyannote[197].start 814.35096875
transcript.pyannote[197].end 816.27471875
transcript.pyannote[198].speaker SPEAKER_05
transcript.pyannote[198].start 816.74721875
transcript.pyannote[198].end 817.75971875
transcript.pyannote[199].speaker SPEAKER_05
transcript.pyannote[199].start 818.18159375
transcript.pyannote[199].end 822.75471875
transcript.pyannote[200].speaker SPEAKER_05
transcript.pyannote[200].start 823.39596875
transcript.pyannote[200].end 825.04971875
transcript.pyannote[201].speaker SPEAKER_05
transcript.pyannote[201].start 825.75846875
transcript.pyannote[201].end 830.12909375
transcript.pyannote[202].speaker SPEAKER_05
transcript.pyannote[202].start 831.00659375
transcript.pyannote[202].end 834.51659375
transcript.pyannote[203].speaker SPEAKER_04
transcript.pyannote[203].start 835.69784375
transcript.pyannote[203].end 844.97909375
transcript.pyannote[204].speaker SPEAKER_05
transcript.pyannote[204].start 843.89909375
transcript.pyannote[204].end 844.52346875
transcript.pyannote[205].speaker SPEAKER_05
transcript.pyannote[205].start 844.97909375
transcript.pyannote[205].end 853.90596875
transcript.pyannote[206].speaker SPEAKER_04
transcript.pyannote[206].start 845.46846875
transcript.pyannote[206].end 847.05471875
transcript.pyannote[207].speaker SPEAKER_04
transcript.pyannote[207].start 852.67409375
transcript.pyannote[207].end 876.26534375
transcript.pyannote[208].speaker SPEAKER_05
transcript.pyannote[208].start 872.89034375
transcript.pyannote[208].end 882.25596875
transcript.pyannote[209].speaker SPEAKER_04
transcript.pyannote[209].start 879.13409375
transcript.pyannote[209].end 885.59721875
transcript.pyannote[210].speaker SPEAKER_05
transcript.pyannote[210].start 883.65659375
transcript.pyannote[210].end 885.54659375
transcript.pyannote[211].speaker SPEAKER_04
transcript.pyannote[211].start 885.96846875
transcript.pyannote[211].end 890.81159375
transcript.pyannote[212].speaker SPEAKER_05
transcript.pyannote[212].start 889.27596875
transcript.pyannote[212].end 894.00096875
transcript.pyannote[213].speaker SPEAKER_04
transcript.pyannote[213].start 894.00096875
transcript.pyannote[213].end 894.79409375
transcript.pyannote[214].speaker SPEAKER_05
transcript.pyannote[214].start 894.79409375
transcript.pyannote[214].end 899.11409375
transcript.pyannote[215].speaker SPEAKER_04
transcript.pyannote[215].start 895.18221875
transcript.pyannote[215].end 895.95846875
transcript.pyannote[216].speaker SPEAKER_04
transcript.pyannote[216].start 898.77659375
transcript.pyannote[216].end 913.54221875
transcript.pyannote[217].speaker SPEAKER_05
transcript.pyannote[217].start 901.61159375
transcript.pyannote[217].end 902.99534375
transcript.pyannote[218].speaker SPEAKER_05
transcript.pyannote[218].start 912.17534375
transcript.pyannote[218].end 913.87971875
transcript.pyannote[219].speaker SPEAKER_04
transcript.pyannote[219].start 913.87971875
transcript.pyannote[219].end 913.94721875
transcript.pyannote[220].speaker SPEAKER_05
transcript.pyannote[220].start 913.94721875
transcript.pyannote[220].end 931.21034375
transcript.pyannote[221].speaker SPEAKER_04
transcript.pyannote[221].start 923.44784375
transcript.pyannote[221].end 930.09659375
transcript.pyannote[222].speaker SPEAKER_05
transcript.pyannote[222].start 931.96971875
transcript.pyannote[222].end 933.18471875
transcript.pyannote[223].speaker SPEAKER_05
transcript.pyannote[223].start 933.80909375
transcript.pyannote[223].end 940.86284375
transcript.pyannote[224].speaker SPEAKER_04
transcript.pyannote[224].start 936.64409375
transcript.pyannote[224].end 938.48346875
transcript.pyannote[225].speaker SPEAKER_04
transcript.pyannote[225].start 939.31034375
transcript.pyannote[225].end 940.76159375
transcript.pyannote[226].speaker SPEAKER_05
transcript.pyannote[226].start 941.43659375
transcript.pyannote[226].end 942.85409375
transcript.pyannote[227].speaker SPEAKER_05
transcript.pyannote[227].start 945.03096875
transcript.pyannote[227].end 946.43159375
transcript.pyannote[228].speaker SPEAKER_05
transcript.pyannote[228].start 947.96721875
transcript.pyannote[228].end 949.04721875
transcript.pyannote[229].speaker SPEAKER_05
transcript.pyannote[229].start 949.38471875
transcript.pyannote[229].end 950.63346875
transcript.pyannote[230].speaker SPEAKER_05
transcript.pyannote[230].start 952.18596875
transcript.pyannote[230].end 953.23221875
transcript.pyannote[231].speaker SPEAKER_05
transcript.pyannote[231].start 953.73846875
transcript.pyannote[231].end 956.21909375
transcript.pyannote[232].speaker SPEAKER_05
transcript.pyannote[232].start 956.60721875
transcript.pyannote[232].end 958.07534375
transcript.pyannote[233].speaker SPEAKER_05
transcript.pyannote[233].start 958.29471875
transcript.pyannote[233].end 959.20596875
transcript.pyannote[234].speaker SPEAKER_05
transcript.pyannote[234].start 960.62346875
transcript.pyannote[234].end 961.55159375
transcript.pyannote[235].speaker SPEAKER_05
transcript.pyannote[235].start 963.15471875
transcript.pyannote[235].end 964.58909375
transcript.pyannote[236].speaker SPEAKER_05
transcript.pyannote[236].start 964.80846875
transcript.pyannote[236].end 966.83346875
transcript.pyannote[237].speaker SPEAKER_05
transcript.pyannote[237].start 967.23846875
transcript.pyannote[237].end 971.71034375
transcript.pyannote[238].speaker SPEAKER_02
transcript.pyannote[238].start 971.71034375
transcript.pyannote[238].end 971.77784375
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 971.94659375
transcript.pyannote[239].end 990.64409375
transcript.pyannote[240].speaker SPEAKER_05
transcript.pyannote[240].start 972.35159375
transcript.pyannote[240].end 973.11096875
transcript.pyannote[241].speaker SPEAKER_05
transcript.pyannote[241].start 974.12346875
transcript.pyannote[241].end 974.69721875
transcript.pyannote[242].speaker SPEAKER_02
transcript.pyannote[242].start 990.71159375
transcript.pyannote[242].end 991.28534375
transcript.pyannote[243].speaker SPEAKER_02
transcript.pyannote[243].start 991.65659375
transcript.pyannote[243].end 996.55034375
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 997.03971875
transcript.pyannote[244].end 998.77784375
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 999.31784375
transcript.pyannote[245].end 999.97596875
transcript.pyannote[246].speaker SPEAKER_05
transcript.pyannote[246].start 999.97596875
transcript.pyannote[246].end 1001.51159375
transcript.pyannote[247].speaker SPEAKER_05
transcript.pyannote[247].start 1001.98409375
transcript.pyannote[247].end 1004.12721875
transcript.pyannote[248].speaker SPEAKER_05
transcript.pyannote[248].start 1004.34659375
transcript.pyannote[248].end 1010.30346875
transcript.pyannote[249].speaker SPEAKER_05
transcript.pyannote[249].start 1010.74221875
transcript.pyannote[249].end 1011.63659375
transcript.pyannote[250].speaker SPEAKER_04
transcript.pyannote[250].start 1012.29471875
transcript.pyannote[250].end 1013.23971875
transcript.pyannote[251].speaker SPEAKER_05
transcript.pyannote[251].start 1013.84721875
transcript.pyannote[251].end 1013.86409375
transcript.pyannote[252].speaker SPEAKER_04
transcript.pyannote[252].start 1013.86409375
transcript.pyannote[252].end 1014.60659375
transcript.pyannote[253].speaker SPEAKER_04
transcript.pyannote[253].start 1015.02846875
transcript.pyannote[253].end 1019.44971875
transcript.pyannote[254].speaker SPEAKER_05
transcript.pyannote[254].start 1018.94346875
transcript.pyannote[254].end 1020.46221875
transcript.pyannote[255].speaker SPEAKER_05
transcript.pyannote[255].start 1020.93471875
transcript.pyannote[255].end 1023.78659375
transcript.pyannote[256].speaker SPEAKER_04
transcript.pyannote[256].start 1023.02721875
transcript.pyannote[256].end 1023.58409375
transcript.pyannote[257].speaker SPEAKER_04
transcript.pyannote[257].start 1023.78659375
transcript.pyannote[257].end 1024.15784375
transcript.pyannote[258].speaker SPEAKER_05
transcript.pyannote[258].start 1024.15784375
transcript.pyannote[258].end 1026.95909375
transcript.pyannote[259].speaker SPEAKER_05
transcript.pyannote[259].start 1027.39784375
transcript.pyannote[259].end 1029.52409375
transcript.pyannote[260].speaker SPEAKER_05
transcript.pyannote[260].start 1030.21596875
transcript.pyannote[260].end 1031.95409375
transcript.pyannote[261].speaker SPEAKER_05
transcript.pyannote[261].start 1033.50659375
transcript.pyannote[261].end 1035.21096875
transcript.pyannote[262].speaker SPEAKER_05
transcript.pyannote[262].start 1035.90284375
transcript.pyannote[262].end 1038.19784375
transcript.pyannote[263].speaker SPEAKER_05
transcript.pyannote[263].start 1038.50159375
transcript.pyannote[263].end 1045.80846875
transcript.pyannote[264].speaker SPEAKER_05
transcript.pyannote[264].start 1046.04471875
transcript.pyannote[264].end 1047.27659375
transcript.pyannote[265].speaker SPEAKER_05
transcript.pyannote[265].start 1047.98534375
transcript.pyannote[265].end 1049.18346875
transcript.pyannote[266].speaker SPEAKER_05
transcript.pyannote[266].start 1049.48721875
transcript.pyannote[266].end 1053.30096875
transcript.pyannote[267].speaker SPEAKER_05
transcript.pyannote[267].start 1053.97596875
transcript.pyannote[267].end 1056.37221875
transcript.pyannote[268].speaker SPEAKER_05
transcript.pyannote[268].start 1056.64221875
transcript.pyannote[268].end 1058.14409375
transcript.pyannote[269].speaker SPEAKER_05
transcript.pyannote[269].start 1058.19471875
transcript.pyannote[269].end 1058.97096875
transcript.pyannote[270].speaker SPEAKER_04
transcript.pyannote[270].start 1058.97096875
transcript.pyannote[270].end 1060.03409375
transcript.pyannote[271].speaker SPEAKER_05
transcript.pyannote[271].start 1060.03409375
transcript.pyannote[271].end 1062.56534375
transcript.pyannote[272].speaker SPEAKER_05
transcript.pyannote[272].start 1063.13909375
transcript.pyannote[272].end 1064.57346875
transcript.pyannote[273].speaker SPEAKER_05
transcript.pyannote[273].start 1065.11346875
transcript.pyannote[273].end 1085.21159375
transcript.pyannote[274].speaker SPEAKER_05
transcript.pyannote[274].start 1085.81909375
transcript.pyannote[274].end 1087.03409375
transcript.pyannote[275].speaker SPEAKER_05
transcript.pyannote[275].start 1087.42221875
transcript.pyannote[275].end 1088.16471875
transcript.pyannote[276].speaker SPEAKER_02
transcript.pyannote[276].start 1088.97471875
transcript.pyannote[276].end 1090.54409375
transcript.pyannote[277].speaker SPEAKER_02
transcript.pyannote[277].start 1090.66221875
transcript.pyannote[277].end 1092.40034375
transcript.whisperx[0].start 11.581
transcript.whisperx[0].end 20.03
transcript.whisperx[0].text 謝謝主席,麻煩有請我們司法院的副秘書長、憲法法庭書記廳廳長、法務部政務次長好,麻煩上台
transcript.whisperx[1].start 28.667
transcript.whisperx[1].end 49.165
transcript.whisperx[1].text 三位好,時間的關係不宜問候老實說今天召委也很辛苦竟然就所謂的司法訴訟實務上預防性權力救濟的應用排了一個專題報告老實說這個專題報告之所以會發生就是民進黨的官員為了要去貫徹民進黨的意志
transcript.whisperx[2].start 54.195
transcript.whisperx[2].end 63.879
transcript.whisperx[2].text 把腦袋動到憲法法庭裡面所想出來的一個怪招為了要處理這個怪招我必須要老實講
transcript.whisperx[3].start 65.908
transcript.whisperx[3].end 91.658
transcript.whisperx[3].text 預防訓的全力救濟這也不是什麼深奧的大道理所有大三修過訴訟法的人通通都知道是怎麼回事民事訴訟法246條將來幾付之數什麼是有預為請求之必要修過大三民事訴訟法的人心裡都很有數那重點是什麼重點是這樣子的東西把它放在憲法訴訟的脈絡當中嗎我們一步一步來看
transcript.whisperx[4].start 94.724
transcript.whisperx[4].end 113.136
transcript.whisperx[4].text 行政院 政委林明欣是不是有找人送案來 請司法院標題是司法院曖昧 有還是沒有跟委員說明 目前沒有收到行政院送的案子他有找其他的案子的訴訟代理人在其他案子裡面申請
transcript.whisperx[5].start 115.336
transcript.whisperx[5].end 138.628
transcript.whisperx[5].text 暫時狀態的處分嗎林政委有沒有找別人這個我毫無所惜那目前有人民就原本已經申請細數的案件申請暫時處分好說得很好有人名就申請細數的案件申請暫時處分申請暫時處分的那個案件從提出一開始的事先申請到現在有多久了
transcript.whisperx[6].start 140.925
transcript.whisperx[6].end 154.723
transcript.whisperx[6].text 跟委員說明這個部分的案件的類型跟時間都不一樣有的是最近才提出的申請案有的是之前就已經申請的案件之前申請的案件最早的有多久委員稍等我一下我核對一下資料回覆
transcript.whisperx[7].start 157.834
transcript.whisperx[7].end 176.153
transcript.whisperx[7].text 根據我目前手上的資料目前有提出申請案暫時處分的部分最草的本案系署日以我手邊目前掌握的資料應該是111年的2022年嘛對 111年的9月好 2022年到現在多久啦
transcript.whisperx[8].start 178.238
transcript.whisperx[8].end 199.016
transcript.whisperx[8].text 呃兩年多兩年多了嘛我為什麼問你這個問題定暫時狀態的處分除了必要性以外還有急迫性嘛這個案子在憲法法庭睡了兩年多之前都沒有急迫性啦現在急迫性突然發生啦為什麼在法界淪為笑話這就是道理嘛再往下看啦李明欣說啊
transcript.whisperx[9].start 205.629
transcript.whisperx[9].end 209.813
transcript.whisperx[9].text 法律案沒有生效以前可以成為釋憲的標的 司法院贊成嗎 贊不贊成這個部分我們在報告中已經做那個說明了什麼說明 尊重憲法法庭是的真的嗎 尊重憲法法庭所以沒有辦法說明 是這樣嗎
transcript.whisperx[10].start 229.049
transcript.whisperx[10].end 249.058
transcript.whisperx[10].text 這個部分就是還是要回到那個沒有生效的法律可不可以成為釋憲的標的這是一個標準的抽象法律問題啊司法院現在連這件事情都不敢表示意見喔那個委員這個部分在個案適用中的時候這不是個案適用這是法律原則喔
transcript.whisperx[11].start 252.823
transcript.whisperx[11].end 274.591
transcript.whisperx[11].text 沒有生效的法律可不可以成為事件的標的這是一個抽象的法律問題啊請教司法院的立場是什麼在憲法訴訟法第一條呢它是沒有規範這種案件類型沒有規範這種案件類型嗎那你們當初在推憲法訴訟法的時候有要創設這種法律生效以前的違憲審查制度嗎
transcript.whisperx[12].start 277.952
transcript.whisperx[12].end 287.463
transcript.whisperx[12].text 有嗎跟委員說明就我的了解當時沒有討論到當時沒有討論到你確定嗎你確定嗎就條文的立法理由來看的話來來來
transcript.whisperx[13].start 290.441
transcript.whisperx[13].end 310.897
transcript.whisperx[13].text 我審過的東西啊我都會記得很清楚啊來先看一下憲法訴訟法刑事上面46條準用行政訴訟法115條再準用民事訴訟法246條你要看一下準用啊除了有特別規定以外還要跟本法性質不相抵觸啊
transcript.whisperx[14].start 312.028
transcript.whisperx[14].end 337.221
transcript.whisperx[14].text 要跟本法性質不相抵觸啊才有準用的可能跟空間嘛現在的問題在哪裡我國的違憲審查制度從以前到現在都是針對已經生效的法律都是針對已經生效的法律跟在法國他們透過破毀法院能夠預先提早進行法規範憲法審查
transcript.whisperx[15].start 339.833
transcript.whisperx[15].end 364.771
transcript.whisperx[15].text 是兩套完全不同的制度啊在每一本憲法教科書裡面啊全部都有寫每一本憲法教科書全部都有寫這麼基本的東西啊你們司法院到今天突然不敢表示立場我為什麼說突然不敢表示立場剛剛司法院的代表說在修法的歷程當中從來沒有成為真典說謊
transcript.whisperx[16].start 368.888
transcript.whisperx[16].end 370.41
transcript.whisperx[16].text 說謊我為什麼說說謊來看一下2019年修法的時候憲法訴訟法那個時候2019年我們2018到2019年修法嘛來看一下
transcript.whisperx[17].start 386.156
transcript.whisperx[17].end 412.396
transcript.whisperx[17].text 2018年修法的時候司法院明確表示總統沒有公布的法律不可以成為事件標的為什麼我記得這件事情因為當初提出這個問題的就是我當初司法院的秘書長是呂太郎我們看一下我當初怎麼問他的幾件事情請教司法院第一件事情你們在界定就期行使職權可以申請事件成熟的時間點是什麼時候
transcript.whisperx[18].start 415.081
transcript.whisperx[18].end 434.737
transcript.whisperx[18].text 呂秘書長太郎怎麼講的目前我們的制度跟法國不太一樣法國憲法委員會是有部分國家憲政顧問的作用可以先問憲法委員會我們這邊沒有所以我們的制度來設計法律案沒有成為法律案不能夠先問大法官的意見這呂太郎講的
transcript.whisperx[19].start 436.943
transcript.whisperx[19].end 457.635
transcript.whisperx[19].text 在立法院公報白紙黑字他第二段怎麼講的在我們條文49條裡面是就其行使職權認為法律未接的法規範他基本上已經有一個法律的效力在裡面才有如果立法院還沒有通過總統還沒有公佈實施他基本上還沒有法規範的問題
transcript.whisperx[20].start 459.978
transcript.whisperx[20].end 480.551
transcript.whisperx[20].text 這是當初憲法訴訟法在審查的時候我那時候第一次當立法委員在立法院裡面跟立法院跟司法院的秘書長呂太郎彼此之間的對答來請教一下司法院的官員司法院的官員當初在立法院推動憲法訴訟法的時候當時秘書長講的話算不算話來請副秘書長
transcript.whisperx[21].start 486.718
transcript.whisperx[21].end 514.069
transcript.whisperx[21].text 不好意思喔 對廳長沒有不敬啊但你的成績不夠啊這個要請副秘書長回答當初呂太郎是在立法院裡面欺騙立法委員嗎是這樣嗎還是現在反正呂太郎他也高升大法官了不關他的事了所以現在的司法院沒有要認賬當初呂太郎當秘書長的時候在立法院所講的話
transcript.whisperx[22].start 516.505
transcript.whisperx[22].end 545.197
transcript.whisperx[22].text 來 請教副秘書長這個部分我們尊重當時的那個呂秘書長的意見當時的呂秘書長是代表他個人嗎他是代表司法院來立法院針對憲法訴訟法如何解釋適用立法規範的意思是什麼到立法院來進行立法說明憲法訴訟法當初提到立法院來審議的是哪一個機關就是司法院嘛
transcript.whisperx[23].start 546.547
transcript.whisperx[23].end 574.493
transcript.whisperx[23].text 立法院在審法案的時候針對你們當初憲法訴訟法的設計提出了問題立法過程當中立法過程當中立法者的原意到底是什麼就透過這樣的詢答很清楚的展現出來了嘛所以我才問嘛司法院的立場是改變了嗎是遇到民進黨有政治上的需求遇到綠色
transcript.whisperx[24].start 576.533
transcript.whisperx[24].end 589.265
transcript.whisperx[24].text 有政治上的需求我們台灣的法律制度是可以配合著執政黨有政治上的需求就變來變去嗎是這樣嗎來 請司法院副秘書長表達立場
transcript.whisperx[25].start 593.342
transcript.whisperx[25].end 606.98
transcript.whisperx[25].text 法律的解釋就是當時立法者的討論的意思這當然是一種解釋所以我們尊重當時黎秘書長的意見剛才也講了就是說在限訴法第一條它可以規範類型裡頭的第一款
transcript.whisperx[26].start 609.884
transcript.whisperx[26].end 625.615
transcript.whisperx[26].text 法規範的那個審查這邊的那個法律當然是指已經生效那個法律可是就是這個地方是不是還有46條這個地方的一個那個解釋當然這個是個案在試用的時候那是憲法法律你們可以這樣子變來變去喔
transcript.whisperx[27].start 627.876
transcript.whisperx[27].end 649.094
transcript.whisperx[27].text 同一個司法院2019年要審限訴法來立法院說一套現在配合民進黨政府的需求又講另外一套為什麼這樣的司法人民沒有辦法信任為什麼這樣的司法人民沒有辦法信任為什麼司法的公信力會不斷的降低我希望
transcript.whisperx[28].start 649.855
transcript.whisperx[28].end 671.429
transcript.whisperx[28].text 司法院回去好好深思這個問題第二個比較小技術上面的問題我要拜託司法院的官員以後送來立法院的報告這不是新聞司法院送來立法院的報告嚴肅對待我為什麼這樣子講有一個東西叫做定暫時狀態的假處分嗎法律用語是這樣嗎
transcript.whisperx[29].start 674.202
transcript.whisperx[29].end 702.75
transcript.whisperx[29].text 應該是定暫時狀態的處分吧怎麼會有定暫時狀態的假處分你說一般法律系的學生一般的假處分跟定暫時狀態的處分分不清楚這還情有可原司法院犯這種錯誤就贏效大方了啦你同一份喔送到立法院來的書面資料又有寫定暫時狀態的假處分又有寫定暫時狀態的處分大家看了以後啊覺得哇
transcript.whisperx[30].start 703.61
transcript.whisperx[30].end 725.245
transcript.whisperx[30].text 我們司法院的水準是這樣 讓人嘆為觀止啊副秘書長 我有沒有說錯這邊是一個疏失是一個疏失嘛 你不要以後讓法律系的學生說老師不對啊 我們司法院的官員送來立法院的報告都有寫定暫時狀態的假處分啊所以這個詞的使用沒有問題啊
transcript.whisperx[31].start 728.655
transcript.whisperx[31].end 748.122
transcript.whisperx[31].text 基本啊 法律人交出來的東西要由法律人交出來的樣子這個是我非常卑微的要求拜託司法院以後注意這些事情 可以嗎謝謝指正 我們以後會把頓耗加上去頓耗 你多了一個假字耶這個是頓耗的問題嗎訂暫時狀態處分 然後頓耗來來來 第一頁
transcript.whisperx[32].start 753.41
transcript.whisperx[32].end 761.356
transcript.whisperx[32].text 定暫時狀態假處分第一頁的時候第一頁就寫錯啦這是一個頓耗的問題嗎是嗎你有沒有看到錯了就錯了啦好來 請法務部我非常的困惑
transcript.whisperx[33].start 779.574
transcript.whisperx[33].end 787.693
transcript.whisperx[33].text 我在第一個第一次當立委的時候針對通緝犯查緝系統必須要處理好的這件事情
transcript.whisperx[34].start 788.789
transcript.whisperx[34].end 817.225
transcript.whisperx[34].text 我講了好幾次喔我講了好幾次喔通緝犯查緝系統要統合你們那個時候拖了半天政委羅秉成結果搞了半天啊搞一個東西出來我說調查局有一個刑事警察局有一個高等檢察署有一個一人一把號各吹各的調就是不願意統合起來林秉文這個重大的通緝犯喔被通緝了
transcript.whisperx[35].start 818.426
transcript.whisperx[35].end 834.33
transcript.whisperx[35].text 結果找了半天我第一時間啊三個平台通通都沒有三個平台通通都沒有結果被我質詢了以後刑事警察局趕快補上去了請問台灣高檢署的系統補充了沒有
transcript.whisperx[36].start 836.231
transcript.whisperx[36].end 852.445
transcript.whisperx[36].text 跟委員報告因為林秉文這個個案現在是在審判中所以是由院方來發布通緝所以台灣高檢署的通緝系統只要訴訟細數到院方在台灣高檢署的系統就沒有
transcript.whisperx[37].start 852.985
transcript.whisperx[37].end 881.921
transcript.whisperx[37].text 因為我們各個機關發佈通緝的時候呢它都會在這個上面沒有顯示的第四個系統是全國的監警調人員都可以直接查詢的那個系統雖然因為各自隱私的關係所以這個全部都可以查詢的系統是沒有這個圖像的但是這個就是我康出啊跟你們講就要建置一個統一的通緝犯系統的理由嘛你有各自上的限制又沒有照片
transcript.whisperx[38].start 882.961
transcript.whisperx[38].end 899.45
transcript.whisperx[38].text 對 所以那個系統啊怎麼發揮公告的效果這個公告是要看有沒有必要向國內的人民來公告我先停一下你覺得林秉文有沒有必要跟國內的人民公告我想新聞報導都已經有所以只要用新聞的報導就可以取代通緝辦的查緝系統嗎這個是 因為我們現在是這個樣子嗎
transcript.whisperx[39].start 903.292
transcript.whisperx[39].end 927.15
transcript.whisperx[39].text 這三個系統是各個犯罪偵查的機關辦刑事警察局、調查局跟高檢署他們根據自己業務的需要自行製作的系統我請法務部再回去看一看當初為什麼會建制要求建制一個統一的系統回去再看一看你們繼續不做我就很清楚的跟你講你們繼續不做我就一定反映在預算審查上
transcript.whisperx[40].start 932.045
transcript.whisperx[40].end 961.309
transcript.whisperx[40].text 全國人民都可以當一個公正的裁判對不起喔 我現在還沒有請你講話可以請你不要插話嗎可以請你不要插話嗎可以請你不要插話嗎全國的人民都可以做一個評判遇到特定跟民進黨權貴有關係的大咖通緝犯查詢系統不敢登啦不敢登啦
transcript.whisperx[41].start 963.486
transcript.whisperx[41].end 990.123
transcript.whisperx[41].text 這樣子的司法部門要如何取得人民的信賴最後一個問題啊檢察官跟無乃人在這邊驗癮黃委員 黃委員先等一下這樣喔 因為我以前組織會議一路以來我的慣例就是如此盡量讓大家暢所欲言所以以前不管吳思耀委員或是柯建民委員或是中召委我都讓你們講 那我會站起來那就大家各自能夠
transcript.whisperx[42].start 991.744
transcript.whisperx[42].end 1011.497
transcript.whisperx[42].text 控制一下時間那待會中召委如果你要講兩小時我也可以陪在這邊陪你站好來最後一個問題檢察官跟無乃人進出高檔的餐廳一客七千塊起跳包廂低銷六萬法務部說啟動行政調查調查出來沒有
transcript.whisperx[43].start 1012.512
transcript.whisperx[43].end 1031.739
transcript.whisperx[43].text 目前還沒有還要多久這個我們回去再跟高檢署跟北檢來詢問一下好 什麼時候可以回覆這麼簡單的事情要拖這麼久晚一點就可以回覆辦案的效率太差了吧這麼簡單的事情要拖這麼久辦案的效率可以這麼差喔
transcript.whisperx[44].start 1033.764
transcript.whisperx[44].end 1059.238
transcript.whisperx[44].text 請法務部啊 回去啊清楚的告訴全責機關因為是法務部跟社會講說要啟動行政調查嘛所以我當然就問法務部嘛到底還需要多久這樣可以嗎馬上回覆喔看你們到底還要調查多久因為全國人民在等著看啊我們的檢察官是什麼官僧啊是什麼官僧啊最後 主席我只講一件事啦
transcript.whisperx[45].start 1063.2
transcript.whisperx[45].end 1091.878
transcript.whisperx[45].text 我今天在這邊質詢我站在上面質詢鍾嘉斌從頭到尾在下面騷擾我不想因為他的騷擾而中斷了我的質詢基本上你主持會議我都尊重那至於鍾嘉斌指控我超時鍾嘉斌你回去自己看看啦你以前超時的時候有人在下面干擾你嗎不要這麼沒有品啦好 謝謝好 謝謝各位因為基本上我自己主持會議