iVOD / 159116

Field Value
IVOD_ID 159116
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/159116
日期 2025-03-13
會議資料.會議代碼 委員會-11-3-36-2
會議資料.會議代碼:str 第11屆第3會期司法及法制委員會第2次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 2
會議資料.種類 委員會
會議資料.委員會代碼[0] 36
會議資料.委員會代碼:str[0] 司法及法制委員會
會議資料.標題 第11屆第3會期司法及法制委員會第2次全體委員會議
影片種類 Clip
開始時間 2025-03-13T11:11:14+08:00
結束時間 2025-03-13T11:30:26+08:00
影片長度 00:19:12
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3b972b8f6f00770f0b576e906546782efc7dc3b86466824cff1cdb1affc83ff41445c6f97c71b35d5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 翁曉玲
委員發言時間 11:11:14 - 11:30:26
會議時間 2025-03-13T09:00:00+08:00
會議名稱 立法院第11屆第3會期司法及法制委員會第2次全體委員會議(事由:邀請法務部部長率所屬單位主管列席報告業務概況及立法計畫,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 9.88596875
transcript.pyannote[0].end 12.04596875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 12.21471875
transcript.pyannote[1].end 13.17659375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 14.34096875
transcript.pyannote[2].end 17.17596875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 14.83034375
transcript.pyannote[3].end 15.25221875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 17.54721875
transcript.pyannote[4].end 18.22221875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 26.06909375
transcript.pyannote[5].end 26.82846875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 28.11096875
transcript.pyannote[6].end 28.90409375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 30.08534375
transcript.pyannote[7].end 31.36784375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 31.63784375
transcript.pyannote[8].end 33.44346875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 32.05971875
transcript.pyannote[9].end 34.08471875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 33.89909375
transcript.pyannote[10].end 37.79721875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 35.51909375
transcript.pyannote[11].end 36.16034375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 38.13471875
transcript.pyannote[12].end 38.94471875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 43.28159375
transcript.pyannote[13].end 43.78784375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 44.46284375
transcript.pyannote[14].end 59.88659375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 60.66284375
transcript.pyannote[15].end 63.41346875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 64.10534375
transcript.pyannote[16].end 65.87721875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 67.00784375
transcript.pyannote[17].end 67.91909375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 68.15534375
transcript.pyannote[18].end 68.98221875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 68.98221875
transcript.pyannote[19].end 69.85971875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 69.85971875
transcript.pyannote[20].end 70.88909375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 73.84221875
transcript.pyannote[21].end 75.44534375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 76.55909375
transcript.pyannote[22].end 78.17909375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 82.14471875
transcript.pyannote[23].end 84.70971875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 85.63784375
transcript.pyannote[24].end 86.22846875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 86.83596875
transcript.pyannote[25].end 88.13534375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 88.45596875
transcript.pyannote[26].end 92.47221875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 93.26534375
transcript.pyannote[27].end 95.59409375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 96.48846875
transcript.pyannote[28].end 99.12096875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 99.12096875
transcript.pyannote[29].end 105.78659375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 106.09034375
transcript.pyannote[30].end 112.50284375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 112.84034375
transcript.pyannote[31].end 115.74284375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 114.88221875
transcript.pyannote[32].end 120.94034375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 122.03721875
transcript.pyannote[33].end 126.71159375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 126.71159375
transcript.pyannote[34].end 142.03409375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 142.18596875
transcript.pyannote[35].end 155.93909375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 154.23471875
transcript.pyannote[36].end 164.12346875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 164.24159375
transcript.pyannote[37].end 168.40971875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 168.74721875
transcript.pyannote[38].end 171.14346875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 171.14346875
transcript.pyannote[39].end 173.25284375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 173.33721875
transcript.pyannote[40].end 177.69096875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 177.89346875
transcript.pyannote[41].end 183.98534375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 184.40721875
transcript.pyannote[42].end 185.06534375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 185.77409375
transcript.pyannote[43].end 192.76034375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 193.87409375
transcript.pyannote[44].end 195.17346875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 195.32534375
transcript.pyannote[45].end 197.11409375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 198.43034375
transcript.pyannote[46].end 199.08846875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 199.88159375
transcript.pyannote[47].end 200.89409375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 201.04596875
transcript.pyannote[48].end 205.31534375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 205.99034375
transcript.pyannote[49].end 208.20096875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 210.19221875
transcript.pyannote[50].end 215.45721875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 214.68096875
transcript.pyannote[51].end 219.08534375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 215.86221875
transcript.pyannote[52].end 216.67221875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 217.19534375
transcript.pyannote[53].end 219.23721875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 219.55784375
transcript.pyannote[54].end 221.51534375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 220.87409375
transcript.pyannote[55].end 237.04034375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 226.02096875
transcript.pyannote[56].end 226.35846875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 235.25159375
transcript.pyannote[57].end 255.36659375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 256.24409375
transcript.pyannote[58].end 269.06909375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 270.14909375
transcript.pyannote[59].end 271.44846875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 272.52846875
transcript.pyannote[60].end 275.26221875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 275.54909375
transcript.pyannote[61].end 277.00034375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 279.51471875
transcript.pyannote[62].end 281.65784375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 281.89409375
transcript.pyannote[63].end 287.53034375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 284.79659375
transcript.pyannote[64].end 308.67471875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 297.60471875
transcript.pyannote[65].end 298.00971875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 309.14721875
transcript.pyannote[66].end 313.63596875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 314.34471875
transcript.pyannote[67].end 315.55971875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 316.47096875
transcript.pyannote[68].end 322.88346875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 324.41909375
transcript.pyannote[69].end 326.03909375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 326.37659375
transcript.pyannote[70].end 327.05159375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 327.59159375
transcript.pyannote[71].end 337.22721875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 337.80096875
transcript.pyannote[72].end 352.06034375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 349.22534375
transcript.pyannote[73].end 369.44159375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 370.18409375
transcript.pyannote[74].end 373.55909375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 374.08221875
transcript.pyannote[75].end 378.43596875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 379.56659375
transcript.pyannote[76].end 381.30471875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 379.63409375
transcript.pyannote[77].end 380.00534375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 380.64659375
transcript.pyannote[78].end 381.23721875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 381.54096875
transcript.pyannote[79].end 384.84846875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 384.76409375
transcript.pyannote[80].end 387.19409375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 384.98346875
transcript.pyannote[81].end 385.65846875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 386.92409375
transcript.pyannote[82].end 401.48721875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 399.74909375
transcript.pyannote[83].end 400.39034375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 401.48721875
transcript.pyannote[84].end 411.27471875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 411.76409375
transcript.pyannote[85].end 443.80971875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 437.00909375
transcript.pyannote[86].end 437.31284375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 447.33659375
transcript.pyannote[87].end 448.53471875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 449.14221875
transcript.pyannote[88].end 453.36096875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 454.03596875
transcript.pyannote[89].end 460.09409375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 458.27159375
transcript.pyannote[90].end 461.42721875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 462.06846875
transcript.pyannote[91].end 464.48159375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 463.16534375
transcript.pyannote[92].end 467.45159375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 467.65409375
transcript.pyannote[93].end 468.41346875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 469.00409375
transcript.pyannote[94].end 475.55159375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 476.59784375
transcript.pyannote[95].end 477.66096875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 478.13346875
transcript.pyannote[96].end 482.18346875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 482.60534375
transcript.pyannote[97].end 487.11096875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 487.48221875
transcript.pyannote[98].end 488.44409375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 491.43096875
transcript.pyannote[99].end 498.36659375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 492.00471875
transcript.pyannote[100].end 493.69221875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 494.97471875
transcript.pyannote[101].end 495.04221875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 498.95721875
transcript.pyannote[102].end 501.85971875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 502.19721875
transcript.pyannote[103].end 503.58096875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 502.66971875
transcript.pyannote[104].end 502.87221875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 503.80034375
transcript.pyannote[105].end 505.69034375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 505.69034375
transcript.pyannote[106].end 506.44971875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 506.44971875
transcript.pyannote[107].end 506.88846875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 506.97284375
transcript.pyannote[108].end 513.08159375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 513.60471875
transcript.pyannote[109].end 523.34159375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 522.02534375
transcript.pyannote[110].end 522.90284375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 523.59471875
transcript.pyannote[111].end 525.63659375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 526.44659375
transcript.pyannote[112].end 530.31096875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 533.17971875
transcript.pyannote[113].end 534.69846875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 534.96846875
transcript.pyannote[114].end 536.06534375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 536.43659375
transcript.pyannote[115].end 537.97221875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 538.39409375
transcript.pyannote[116].end 541.07721875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 541.27971875
transcript.pyannote[117].end 542.00534375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 543.00096875
transcript.pyannote[118].end 545.44784375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 546.39284375
transcript.pyannote[119].end 549.44721875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 551.60721875
transcript.pyannote[120].end 552.50159375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 556.11284375
transcript.pyannote[121].end 557.91846875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 556.68659375
transcript.pyannote[122].end 559.20096875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 559.20096875
transcript.pyannote[123].end 560.19659375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 560.19659375
transcript.pyannote[124].end 560.55096875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 560.55096875
transcript.pyannote[125].end 569.30909375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 568.24596875
transcript.pyannote[126].end 579.51846875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 569.78159375
transcript.pyannote[127].end 570.23721875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 582.92721875
transcript.pyannote[128].end 584.58096875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 585.76221875
transcript.pyannote[129].end 586.62284375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 586.97721875
transcript.pyannote[130].end 587.83784375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 587.88846875
transcript.pyannote[131].end 588.12471875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 588.34409375
transcript.pyannote[132].end 588.86721875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 589.69409375
transcript.pyannote[133].end 592.02284375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 593.54159375
transcript.pyannote[134].end 595.61721875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 593.74409375
transcript.pyannote[135].end 595.02659375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 596.32596875
transcript.pyannote[136].end 597.35534375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 597.43971875
transcript.pyannote[137].end 597.92909375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 597.92909375
transcript.pyannote[138].end 600.54471875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 601.84409375
transcript.pyannote[139].end 603.34596875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 603.80159375
transcript.pyannote[140].end 606.58596875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 607.17659375
transcript.pyannote[141].end 608.74596875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 609.67409375
transcript.pyannote[142].end 611.24346875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 611.53034375
transcript.pyannote[143].end 614.75346875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 616.64346875
transcript.pyannote[144].end 622.39784375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 621.14909375
transcript.pyannote[145].end 626.49846875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 627.27471875
transcript.pyannote[146].end 633.53534375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 634.95284375
transcript.pyannote[147].end 639.35721875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 641.33159375
transcript.pyannote[148].end 642.09096875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 642.17534375
transcript.pyannote[149].end 642.58034375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 643.76159375
transcript.pyannote[150].end 645.56721875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 645.95534375
transcript.pyannote[151].end 653.88659375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 649.17846875
transcript.pyannote[152].end 650.76471875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 652.89096875
transcript.pyannote[153].end 652.92471875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 653.26221875
transcript.pyannote[154].end 655.43909375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 656.75534375
transcript.pyannote[155].end 658.15596875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 659.45534375
transcript.pyannote[156].end 659.97846875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 661.36221875
transcript.pyannote[157].end 663.80909375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 661.61534375
transcript.pyannote[158].end 663.96096875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 664.87221875
transcript.pyannote[159].end 666.13784375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 667.30221875
transcript.pyannote[160].end 668.60159375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 669.20909375
transcript.pyannote[161].end 670.28909375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 670.71096875
transcript.pyannote[162].end 671.84159375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 672.63471875
transcript.pyannote[163].end 674.25471875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 676.63409375
transcript.pyannote[164].end 681.08909375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 679.60409375
transcript.pyannote[165].end 681.29159375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 681.51096875
transcript.pyannote[166].end 686.03346875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 686.72534375
transcript.pyannote[167].end 690.03284375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 690.67409375
transcript.pyannote[168].end 692.91846875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 693.62721875
transcript.pyannote[169].end 694.84221875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 695.31471875
transcript.pyannote[170].end 696.93471875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 697.62659375
transcript.pyannote[171].end 698.94284375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 699.95534375
transcript.pyannote[172].end 709.15221875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 703.21221875
transcript.pyannote[173].end 703.60034375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 709.65846875
transcript.pyannote[174].end 712.00409375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 712.98284375
transcript.pyannote[175].end 720.10409375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 720.61034375
transcript.pyannote[176].end 748.26846875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 749.48346875
transcript.pyannote[177].end 753.76971875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 754.93409375
transcript.pyannote[178].end 761.26221875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 761.07659375
transcript.pyannote[179].end 762.83159375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 763.48971875
transcript.pyannote[180].end 764.43471875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 765.59909375
transcript.pyannote[181].end 767.67471875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 769.51409375
transcript.pyannote[182].end 771.21846875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 771.85971875
transcript.pyannote[183].end 783.23346875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 785.02221875
transcript.pyannote[184].end 800.91846875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 801.49221875
transcript.pyannote[185].end 803.46659375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 804.98534375
transcript.pyannote[186].end 808.69784375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 808.71471875
transcript.pyannote[187].end 815.39721875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 817.55721875
transcript.pyannote[188].end 822.16409375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 822.58596875
transcript.pyannote[189].end 824.27346875
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 824.86409375
transcript.pyannote[190].end 829.13346875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 829.82534375
transcript.pyannote[191].end 831.02346875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 832.27221875
transcript.pyannote[192].end 840.03471875
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 840.55784375
transcript.pyannote[193].end 846.02534375
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 847.27409375
transcript.pyannote[194].end 848.08409375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 848.75909375
transcript.pyannote[195].end 850.12596875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 850.75034375
transcript.pyannote[196].end 851.74596875
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 850.78409375
transcript.pyannote[197].end 851.03721875
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 851.77971875
transcript.pyannote[198].end 854.53034375
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 854.58096875
transcript.pyannote[199].end 875.96159375
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 876.31596875
transcript.pyannote[200].end 884.66909375
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 882.47534375
transcript.pyannote[201].end 892.09409375
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 895.58721875
transcript.pyannote[202].end 902.92784375
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 903.94034375
transcript.pyannote[203].end 907.12971875
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 908.07471875
transcript.pyannote[204].end 913.98096875
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 914.41971875
transcript.pyannote[205].end 920.22471875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 920.91659375
transcript.pyannote[206].end 929.37096875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 930.72096875
transcript.pyannote[207].end 931.63221875
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 933.47159375
transcript.pyannote[208].end 934.43346875
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 935.63159375
transcript.pyannote[209].end 944.87909375
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 941.48721875
transcript.pyannote[210].end 941.72346875
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 945.19971875
transcript.pyannote[211].end 953.13096875
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 952.97909375
transcript.pyannote[212].end 957.26534375
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 954.41346875
transcript.pyannote[213].end 955.71284375
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 956.62409375
transcript.pyannote[214].end 960.15096875
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 959.30721875
transcript.pyannote[215].end 962.32784375
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 963.77909375
transcript.pyannote[216].end 965.55096875
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 964.09971875
transcript.pyannote[217].end 968.20034375
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 966.59721875
transcript.pyannote[218].end 966.85034375
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 968.80784375
transcript.pyannote[219].end 968.99346875
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 969.36471875
transcript.pyannote[220].end 979.77659375
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 972.75659375
transcript.pyannote[221].end 972.97596875
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 978.73034375
transcript.pyannote[222].end 982.32471875
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 982.35846875
transcript.pyannote[223].end 986.89784375
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 986.83034375
transcript.pyannote[224].end 990.44159375
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 990.37409375
transcript.pyannote[225].end 990.54284375
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 990.54284375
transcript.pyannote[226].end 992.88846875
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 991.55534375
transcript.pyannote[227].end 991.92659375
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 992.50034375
transcript.pyannote[228].end 1004.73471875
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 996.76971875
transcript.pyannote[229].end 1000.68471875
transcript.pyannote[230].speaker SPEAKER_02
transcript.pyannote[230].start 1005.17346875
transcript.pyannote[230].end 1011.58596875
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 1011.58596875
transcript.pyannote[231].end 1013.03721875
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 1013.62784375
transcript.pyannote[232].end 1026.77346875
transcript.pyannote[233].speaker SPEAKER_02
transcript.pyannote[233].start 1027.14471875
transcript.pyannote[233].end 1029.18659375
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 1029.18659375
transcript.pyannote[234].end 1031.32971875
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 1031.58284375
transcript.pyannote[235].end 1032.40971875
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 1033.25346875
transcript.pyannote[236].end 1036.69596875
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 1037.47221875
transcript.pyannote[237].end 1041.79221875
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 1042.53471875
transcript.pyannote[238].end 1046.92221875
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 1048.42409375
transcript.pyannote[239].end 1052.01846875
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 1053.01409375
transcript.pyannote[240].end 1059.13971875
transcript.pyannote[241].speaker SPEAKER_01
transcript.pyannote[241].start 1061.01284375
transcript.pyannote[241].end 1073.02784375
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 1074.42846875
transcript.pyannote[242].end 1077.98909375
transcript.pyannote[243].speaker SPEAKER_01
transcript.pyannote[243].start 1078.57971875
transcript.pyannote[243].end 1080.77346875
transcript.pyannote[244].speaker SPEAKER_01
transcript.pyannote[244].start 1081.27971875
transcript.pyannote[244].end 1085.11034375
transcript.pyannote[245].speaker SPEAKER_01
transcript.pyannote[245].start 1085.95409375
transcript.pyannote[245].end 1087.87784375
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 1088.83971875
transcript.pyannote[246].end 1092.77159375
transcript.pyannote[247].speaker SPEAKER_02
transcript.pyannote[247].start 1092.94034375
transcript.pyannote[247].end 1098.08721875
transcript.pyannote[248].speaker SPEAKER_01
transcript.pyannote[248].start 1098.08721875
transcript.pyannote[248].end 1106.65971875
transcript.pyannote[249].speaker SPEAKER_02
transcript.pyannote[249].start 1099.20096875
transcript.pyannote[249].end 1099.55534375
transcript.pyannote[250].speaker SPEAKER_02
transcript.pyannote[250].start 1101.36096875
transcript.pyannote[250].end 1102.84596875
transcript.pyannote[251].speaker SPEAKER_02
transcript.pyannote[251].start 1103.70659375
transcript.pyannote[251].end 1104.38159375
transcript.pyannote[252].speaker SPEAKER_01
transcript.pyannote[252].start 1106.94659375
transcript.pyannote[252].end 1115.40096875
transcript.pyannote[253].speaker SPEAKER_02
transcript.pyannote[253].start 1116.16034375
transcript.pyannote[253].end 1130.01471875
transcript.pyannote[254].speaker SPEAKER_01
transcript.pyannote[254].start 1127.61846875
transcript.pyannote[254].end 1128.90096875
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 1130.06534375
transcript.pyannote[255].end 1132.59659375
transcript.pyannote[256].speaker SPEAKER_01
transcript.pyannote[256].start 1133.05221875
transcript.pyannote[256].end 1134.43596875
transcript.pyannote[257].speaker SPEAKER_01
transcript.pyannote[257].start 1134.65534375
transcript.pyannote[257].end 1140.56159375
transcript.pyannote[258].speaker SPEAKER_01
transcript.pyannote[258].start 1141.20284375
transcript.pyannote[258].end 1141.74284375
transcript.pyannote[259].speaker SPEAKER_01
transcript.pyannote[259].start 1142.09721875
transcript.pyannote[259].end 1150.04534375
transcript.whisperx[0].start 10.172
transcript.whisperx[0].end 37.459
transcript.whisperx[0].text 主席好 有請次長麻煩次長也請那個中署長再請洪司長還有劉司長法律事務司的劉司長還有法治司的洪司長
transcript.whisperx[1].start 43.362
transcript.whisperx[1].end 70.435
transcript.whisperx[1].text 委員好是 次長好 還有司長署長們好我在這邊呢 首先我想要請教各位大家知道陸委會最近有下令要求所有的公教人員要簽名拒絕有沒有這個大陸的身份證跟居住證請問次長您簽了嗎各位報告我簽了您簽了 對好 然後署長呢
transcript.whisperx[2].start 73.911
transcript.whisperx[2].end 90.511
transcript.whisperx[2].text 署長有沒有簽名拒絕?有沒有簽了那個拒絕書?哦,看起來署長可能還沒有簽。來,市長。簽了。簽了。好,人家都簽了。那麼我想請問一下,如果不簽的話,會被處罰嗎?
transcript.whisperx[3].start 93.579
transcript.whisperx[3].end 120.334
transcript.whisperx[3].text 沒有沒有這樣子說明沒有說因為不簽會被處罰是不是請次長可以再重複再大聲一點告訴我們如果不簽的話會被處罰嗎他那個當事人委會先我們但我們他沒有說不簽會被處罰處罰他必須要有法源的依據啊處罰要有法源的依據那剛剛因為次長有特別有講到法律保留原則
transcript.whisperx[4].start 122.101
transcript.whisperx[4].end 140.489
transcript.whisperx[4].text 可以跟我們民眾解釋一下跟我們大家解釋一下什麼叫法律保留原則法律保留就是涉及到這一個人民的權益的部分要透過國家立法機關的立法繼續保留那法律保留分為絕對保留跟相對保留如果絕對保留涉及到人身自由的部分他就絕對一定要立法院授權的法律才能規範
transcript.whisperx[5].start 142.35
transcript.whisperx[5].end 167.731
transcript.whisperx[5].text 那相對的法律保留它就是說它不是涉及到人身自由但是有可能會涉及到人民的權益的那基本上它原則上是需要有一個法律或者法律授權的命令來做相關的規範是的好 非常謝謝次長的說明那簡單來說如果說今天行政機關要處罰人民的話是不是應該要在法律裡面明確規定構成要件要清楚違反了構成要件才可以處罰嘛
transcript.whisperx[6].start 168.832
transcript.whisperx[6].end 196.821
transcript.whisperx[6].text 在我們行政法法裡面有這樣的規定對不對對行政法法就這個有特別的規範是好那麼現在呢在兩岸人民關係條例裡面的第九條第九之一條第九之一條裡面只有禁止台灣地區的人民不可以有大陸地區的戶籍涉戶籍還有領友護照那麼所以今天如果說是
transcript.whisperx[7].start 198.642
transcript.whisperx[7].end 225.939
transcript.whisperx[7].text 陸委會因為說某個台灣人民他在大陸地區有居住證所以就予以處罰這樣合理嗎各位報告這涉及到兩岸關係條例它並不是本部主管的法規啦所以我們在法律解釋上面嘛我剛剛跟你講了這個法律規定嘛所以必須要明確化嘛對不對行政法法上的確是規範要處罰但必須要法律免定嘛
transcript.whisperx[8].start 226.719
transcript.whisperx[8].end 254.755
transcript.whisperx[8].text 至於這個兩岸關係條例它特別的規範我們必須要尊重主管機關因為我們畢竟北澳不必定不是主管機關啦市長你客氣了啦就法律解釋的部分我相信您絕對會解釋的比那個陸委會要好要更專業更權威我現在要談的就是其實在這裡就要清楚的告訴軍公教還有現在也擴大到財團法人等等的相關的職員工其實不簽
transcript.whisperx[9].start 257.295
transcript.whisperx[9].end 276.311
transcript.whisperx[9].text 這個陸委會所要求的有沒有具有大陸的身份證居住證等等的這些表單其實是不違法而且也不能被處罰與法無拒更何況陸委會是搞不清楚嗎教師是公務員嗎請問市長您知道教師是不是公務員
transcript.whisperx[10].start 282.346
transcript.whisperx[10].end 306.284
transcript.whisperx[10].text 公務員他有廣義跟狹義的定義嘛那我不曉得他的主管是所以他不屬於公務員法裡面所講的公務員我們現在很清楚知道除了兼任行政主管的教授才可以被視為是公務員否則的話基本上一般的教師他不是屬於公務員所以我要談就是陸委會我都不知道我真的下次我認為說陸委會的這個法規會他的
transcript.whisperx[11].start 310.547
transcript.whisperx[11].end 336.495
transcript.whisperx[11].text 應該可能要考慮是不是要刪他們的預算因為沒有專業然後呢又這個要求人事總處要求這個教育部發這種違法濫權然後要求人民要自行表態我對國家效忠的這種簽名拒絕單我認為真是荒謬至極
transcript.whisperx[12].start 340.266
transcript.whisperx[12].end 351.154
transcript.whisperx[12].text 這條的規範它的規範主體是什麼可不可以裁罰怎麼裁罰大委員可能要問陸委會我想說這邊可能要請法務部來寫一個專案報告啦針對就是到底陸委會有沒有這個權利可以處罰有沒有他的這樣子如果說處罰的話有沒有違反行政法法這應該也是屬於法務部可以提供的諮詢意見我想這個問題我就先問到這邊
transcript.whisperx[13].start 366.545
transcript.whisperx[13].end 378.255
transcript.whisperx[13].text 那接下來呢我想要請教這個次長的就是法務部的今年的預算基本上剛剛其實副總長已經有問過了今年預算是有增加的
transcript.whisperx[14].start 379.645
transcript.whisperx[14].end 401.214
transcript.whisperx[14].text 增加了多少億3減後的比較大概多了12億所以還是有多12億但是12億基本上都是用在人事費用因為我們今年增加了150、60位的員額所以它基本上就是用在人事費用還有相關既有的員額的執行的調整所以都是人事費的增加
transcript.whisperx[15].start 402.314
transcript.whisperx[15].end 426.853
transcript.whisperx[15].text 但是其實整個公務機關本來就是要遵截經費要在合理的經費範圍運用裡面去好好的去執行業務基本上其實這次的總預算每個部會機關幾乎都有增加而且增加幅度還挺高的我想就這個部分來說的話
transcript.whisperx[16].start 427.654
transcript.whisperx[16].end 443.827
transcript.whisperx[16].text 如果未來真的有自然難行的地方需要最佳預算還是要提早解凍我想法務部這邊呢可以再向我們司法委員會來報告好那接下來我想請教這個次長來我們看一下這個照片您看從這個照片裡面你看到了什麼委員是指拿方面對啊您看到了什麼嗎看到幾位名人政治人物在裡面
transcript.whisperx[17].start 454.233
transcript.whisperx[17].end 475.437
transcript.whisperx[17].text 委員是要講這個就是說戒護就醫的問題嗎?保外就醫還有呢?還是就是他的戒護?我們現在來看一下這個看看吧其實我們作為法律人看到這張照片第一個直覺就是看到了犯罪嫌疑人柯文哲
transcript.whisperx[18].start 478.226
transcript.whisperx[18].end 488.051
transcript.whisperx[18].text 然後另外一個就是保外就醫的貪污犯陳水扁請問這次矯正署派了多少的警力去戒護就醫
transcript.whisperx[19].start 492.181
transcript.whisperx[19].end 512.824
transcript.whisperx[19].text 去戒護 戒護奔商嗎對 戒護奔商北索有八名警力 但是也有政風人員所以總共有多少位總共十位總共十位去戒護柯文哲怕他在上禮當中跑掉
transcript.whisperx[20].start 513.629
transcript.whisperx[20].end 530.019
transcript.whisperx[20].text 八位是介護 兩位是事先到告別式的會場先做一些相關流程為了慎重起見 總共十位那請問陳水扁他到現在還是保外就醫你們都不擔心他跑掉嗎他這次參加柯文哲父親的告別式有事先提出核准嗎
transcript.whisperx[21].start 542.978
transcript.whisperx[21].end 552.021
transcript.whisperx[21].text 他有事先跟中間報告每一次都只是報告來我們看一下我們法條怎麼規定法條怎麼規定
transcript.whisperx[22].start 556.358
transcript.whisperx[22].end 578.444
transcript.whisperx[22].text 因為中間 要監獄核准對不對是 中間也有跟他就是說是不是可以請阿扁提早去做年香致意你們都是對陳水扁非常的禮遇客氣他去詢問你可不可以提前告訴我你要參加什麼活動請問您知道他有去參加賀龍夜夜秀嗎他應該是有
transcript.whisperx[23].start 586.162
transcript.whisperx[23].end 614.294
transcript.whisperx[23].text 賀瓏找他賀瓏找他所以角色署也同意了 台中監獄也同意了賀瓏是到他家拜訪的到他家拜訪所以錄了這個節目沒有關係我想請問的就是說陳水扁他參加告別式是與他的醫療有助於他的醫療嗎是他日常生活所需嗎
transcript.whisperx[24].start 616.69
transcript.whisperx[24].end 633.466
transcript.whisperx[24].text 我們原則上都是尊重醫主啊 那中間還有報告我跟您說 只要我當立法委員的一天我只要看到陳水扁出現在公開媒體 我一定會問這個問題請問如果醫主造假醫生會違反 會觸犯什麼樣的刑事責任 會有什麼樣的刑事責任造假是
transcript.whisperx[25].start 643.783
transcript.whisperx[25].end 653.934
transcript.whisperx[25].text 如果是造假應該是偽造文書之類的這因為但是我們尊重醫師有專業的判斷尊重醫師啦所以您就認為說所有的醫生都不可能會有造假是嗎有沒有可能台中監獄基本上也是包庇
transcript.whisperx[26].start 667.375
transcript.whisperx[26].end 673.8
transcript.whisperx[26].text 如果今天一個連獄長他包庇署長您包庇可能會觸犯什麼樣的刑責
transcript.whisperx[27].start 676.67
transcript.whisperx[27].end 698.325
transcript.whisperx[27].text 我想我們心中有一把尺 我們不會去做這些事情是 我想告訴您相關的刑法的法律追溯權的時效是很長的除非你們有信心 民進黨政府一直執政超過20年你們不會有責任否則我告訴您 你們現在的所作所為 大家都在記錄
transcript.whisperx[28].start 699.997
transcript.whisperx[28].end 711.475
transcript.whisperx[28].text 跟委員報告台中監獄一定是依據保外遇制的審核基準去按照規定來辦理的好來接下來我再來講另外一個議題
transcript.whisperx[29].start 713.055
transcript.whisperx[29].end 719.356
transcript.whisperx[29].text 其實從這次看其實這個有關於在偵查期間當中的這個羈押期間是不是有過長的問題不僅是學界也在討論其實實務界很多都在討論這個議題那當然這次柯文哲的事件又讓大家重新的去檢視到底我們現在刑事訴訟法裡面的規定偵查當中的羈押期間讓檢察官有 司法檢察有
transcript.whisperx[30].start 744.601
transcript.whisperx[30].end 766.731
transcript.whisperx[30].text 簡單來說可以最長有四個月的羈押期間有沒有過長請問法務部有去曾經有做過相關的檢討嗎各位報告那歷次有關羈押的修法羈押期間這一定會有做相關的法治上的研究這是絕對會有的是我們看看韓國看看日本人家的一次的羈押時間
transcript.whisperx[31].start 769.591
transcript.whisperx[31].end 782.541
transcript.whisperx[31].text 初次的大概就10天被藥的時候延長也是10天最長最長也是25天韓國也是就是這個初次是10天然後延長的話是不可以超過10天
transcript.whisperx[32].start 785.086
transcript.whisperx[32].end 803.421
transcript.whisperx[32].text 相對起來我們台灣的偵查當中的羈押可以這個押犯人的押犯罪嫌疑人的時間是非常長的這已經是侵害了犯罪嫌疑人的人權我們如果從人權保障的角度來講的話我們其實台灣在這方面是落伍的
transcript.whisperx[33].start 805.049
transcript.whisperx[33].end 830.783
transcript.whisperx[33].text 我相信大家都應該很清楚知道其實羈押制度常常會成為偵查機關取得自白而惡用的手段理論上就是在案件未確定之前應該要尊重要有這個要無罪推定而且要更重視犯罪嫌疑人的人身自由保障
transcript.whisperx[34].start 832.318
transcript.whisperx[34].end 845.233
transcript.whisperx[34].text 那我希望保護部應該要好好的去檢討我們現在的相關偵查當中的羈押規定是不是合理跟世界的潮流跟其他國家相比較來講
transcript.whisperx[35].start 847.315
transcript.whisperx[35].end 875.433
transcript.whisperx[35].text 我們是不是規範的過度有違反不當比例有違背這個比例原則各位報告那羈押期間的長短那涉及到不同的偵查制度不可一概而論那事實上我們相關的羈押我們歷次很多個司法官司事致都有做一些解釋其實這個重點不應該羈押長短也是個原因另外一個應該是著重於羈押要件的嚴格審查還有羈押的整個審核當中你要給他月卷相關的
transcript.whisperx[36].start 877.135
transcript.whisperx[36].end 891.287
transcript.whisperx[36].text 這個程序上的保障事實上後來大法官解釋之後我們相關修法也都朝這個方向去保障申請羈押的流程好我想這個部分的話就是整體一併檢討那最後我很快的來講有關於這個律師職前訓練的事情我們直接跳到相關的法律我要談的是有關於律師職前訓練到底誰才是應該要主要負責
transcript.whisperx[37].start 903.971
transcript.whisperx[37].end 928.985
transcript.whisperx[37].text 依照我們這個現行的律師法裡面的規定律師值錢訓練是由全國律師聯合會辦理當時在2019年修法的時候李友講得非常清楚為了落實律師的自律自治的精神民地律師值錢訓練是由全國律師聯合會自行辦理什麼叫自行辦理錢該誰出
transcript.whisperx[38].start 933.496
transcript.whisperx[38].end 960.117
transcript.whisperx[38].text 法務部出嗎各位報告這一條109條109年修法的時候因為這個歷史法做了非常大幅度的變動所以當時這一條本身在我們歷史法裡面特別規範它的施行日期另外由行政院來定之所以這條本身到目前為止它只要另外要行政第一個時間它才會生效所以你們到目前為止都沒有定施行期間沒有 我們已經報行政院請行政院核定它的時間是 你們什麼時候報的這是109年
transcript.whisperx[39].start 964.257
transcript.whisperx[39].end 986.646
transcript.whisperx[39].text 修正的 到現在為止這個條文都還沒有正式施行就是說這一條要由全聯會來辦理這件事情立法當時就有意的要交由行政院來另行公告他的施行期間所以請問次長現在是行政院還沒有公告嗎我們現在已經請行政院 希望行政院能夠趕快來公告
transcript.whisperx[40].start 987.226
transcript.whisperx[40].end 1012.801
transcript.whisperx[40].text 所以從109年到現在你們都沒有提要請行政院進速公告跟我們報告109年歷史法做了非常非常大幅度的修正我們必須要給歷史界我先講這一條就講這一條我們當時是要讓歷史界有一些時間去新法的適用要不然它的整個變革太大了所以當時是有意的把這個事情往後延好所以六年了
transcript.whisperx[41].start 1013.681
transcript.whisperx[41].end 1030.377
transcript.whisperx[41].text 都還沒有辦法這個全律會都還沒有辦法自行辦理所以呢現在律師職權訓練的這筆費用一直都是由法務部出由我們全民的納稅錢來付是嗎目前在公告之前是的是的所以每年300多萬6年了
transcript.whisperx[42].start 1034.026
transcript.whisperx[42].end 1058.863
transcript.whisperx[42].text 1800多萬我們一直幫全綠會難怪全綠會的那些理事長啦 理監事這麼支持民進黨都是賴清德後援會的律師成員我要講這真的是非常非常不負責任的一個做法謝謝今天次長告訴我原來這個條文到現在都還沒有施行還沒有正式施行
transcript.whisperx[43].start 1061.092
transcript.whisperx[43].end 1086.846
transcript.whisperx[43].text 所以我們這次三預算坦白說我當時我就覺得很奇怪為什麼是由法務部去編列這筆預算如果說職前訓練律師職前訓練是由法務部主辦的話他的委辦他不見得要委託給權律會啊他也可以委託給大專院校也可以委託給法官學院司法官訓練所為什麼一定要委託給權律會
transcript.whisperx[44].start 1088.908
transcript.whisperx[44].end 1114.77
transcript.whisperx[44].text 原來你們現在到目前為止一直都還在幫他們付這筆錢這個當時在109人立法的時候他就是這個立法目的就是這樣子定這一條對 立法目的不就是要全立法會自己辦理嗎然後自己負責經費嘛 對不對只是說你們現在讓他六年都沒有正式的啟用這個條文所以在六年期間的所有經費都還是法務部要編列公務預算來支應
transcript.whisperx[45].start 1116.873
transcript.whisperx[45].end 1140.191
transcript.whisperx[45].text 這個是法條的設計另外他律師他本身其實有公益涉財在野法朝的地位法務部是律師的主管機關從一個主管機關的角度去看這個當時立法有意這麼定那我們就尊重立法者的決定是非常謝謝今天次長告訴我這些我終於知道為什麼這麼多的律師是這麼支持民進黨政府這麼支持
transcript.whisperx[46].start 1142.461
transcript.whisperx[46].end 1146.602
transcript.whisperx[46].text 賴清德都是賴清德後援會的成員也難怪人家說律師的這個綠應該改成綠色的綠以上謝謝