iVOD / 158830

Field Value
IVOD_ID 158830
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/158830
日期 2025-01-13
會議資料.會議代碼 委員會-11-2-36-28
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28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 28
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28次全體委員會議
影片種類 Clip
開始時間 2025-01-13T10:43:37+08:00
結束時間 2025-01-13T10:55:47+08:00
影片長度 00:12:10
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/293c543958a38e4757060687cffd0926b1c135165b29e3b3f85eb60e410638a8be90c14cbbb16b115ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 吳思瑤
委員發言時間 10:43:37 - 10:55:47
會議時間 2025-01-13T09:00:00+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28次全體委員會議(事由:一、邀請司法院、法務部率所屬相關單位列席就「號召民眾上街對抗司法審判者為妨害司法公正罪之現行犯?」進行專題報告,並備質詢。 二、併案審查 (一)行政院函請審議「律師法第九條條文修正草案」案。 (二)委員林宜瑾等27人擬具「律師法第九條條文修正草案」案。 (三)委員吳沛憶等23人擬具「律師法第九條條文修正草案」案。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 3.30471875
transcript.pyannote[0].end 4.94159375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 5.95409375
transcript.pyannote[1].end 6.51096875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 6.64596875
transcript.pyannote[2].end 16.39971875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 16.60221875
transcript.pyannote[3].end 27.84096875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 28.24596875
transcript.pyannote[4].end 34.81034375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 35.65409375
transcript.pyannote[5].end 49.20471875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 49.86284375
transcript.pyannote[6].end 53.71034375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 53.92971875
transcript.pyannote[7].end 60.20721875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 60.62909375
transcript.pyannote[8].end 62.95784375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 63.43034375
transcript.pyannote[9].end 65.52284375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 66.31596875
transcript.pyannote[10].end 81.01409375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 78.53346875
transcript.pyannote[11].end 79.81596875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 80.74409375
transcript.pyannote[12].end 82.27971875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 85.41846875
transcript.pyannote[13].end 92.28659375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 92.64096875
transcript.pyannote[14].end 98.59784375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 99.35721875
transcript.pyannote[15].end 111.27096875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 111.57471875
transcript.pyannote[16].end 112.67159375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 113.32971875
transcript.pyannote[17].end 118.83096875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 119.28659375
transcript.pyannote[18].end 121.53096875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 122.02034375
transcript.pyannote[19].end 128.43284375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 128.61846875
transcript.pyannote[20].end 163.97159375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 166.58721875
transcript.pyannote[21].end 170.77221875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 172.61159375
transcript.pyannote[22].end 179.22659375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 179.73284375
transcript.pyannote[23].end 180.93096875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 181.47096875
transcript.pyannote[24].end 193.45221875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 193.95846875
transcript.pyannote[25].end 204.58971875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 205.21409375
transcript.pyannote[26].end 214.57971875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 215.27159375
transcript.pyannote[27].end 221.48159375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 221.81909375
transcript.pyannote[28].end 230.91471875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 231.38721875
transcript.pyannote[29].end 235.36971875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 236.28096875
transcript.pyannote[30].end 236.31471875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 236.31471875
transcript.pyannote[31].end 236.70284375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 236.70284375
transcript.pyannote[32].end 236.87159375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 237.10784375
transcript.pyannote[33].end 237.12471875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 237.12471875
transcript.pyannote[34].end 238.28909375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 238.28909375
transcript.pyannote[35].end 239.60534375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 239.60534375
transcript.pyannote[36].end 242.67659375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 241.20846875
transcript.pyannote[37].end 241.56284375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 242.15346875
transcript.pyannote[38].end 256.04159375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 256.66596875
transcript.pyannote[39].end 257.37471875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 258.94409375
transcript.pyannote[40].end 261.03659375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 263.01096875
transcript.pyannote[41].end 264.83346875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 265.35659375
transcript.pyannote[42].end 272.08971875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 272.76471875
transcript.pyannote[43].end 282.04596875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 282.06284375
transcript.pyannote[44].end 308.06721875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 309.70409375
transcript.pyannote[45].end 310.39596875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 311.50971875
transcript.pyannote[46].end 312.92721875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 313.78784375
transcript.pyannote[47].end 316.03221875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 317.50034375
transcript.pyannote[48].end 321.65159375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 321.55034375
transcript.pyannote[49].end 322.59659375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 323.15346875
transcript.pyannote[50].end 325.09409375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 325.44846875
transcript.pyannote[51].end 328.13159375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 326.93346875
transcript.pyannote[52].end 329.78534375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 330.02159375
transcript.pyannote[53].end 335.69159375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 336.14721875
transcript.pyannote[54].end 338.83034375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 337.07534375
transcript.pyannote[55].end 345.51284375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 345.88409375
transcript.pyannote[56].end 349.46159375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 347.30159375
transcript.pyannote[57].end 351.33471875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 352.22909375
transcript.pyannote[58].end 353.84909375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 355.01346875
transcript.pyannote[59].end 355.85721875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 356.51534375
transcript.pyannote[60].end 357.40971875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 358.48971875
transcript.pyannote[61].end 359.33346875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 359.99159375
transcript.pyannote[62].end 361.39221875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 362.86034375
transcript.pyannote[63].end 372.66471875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 373.05284375
transcript.pyannote[64].end 388.81409375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 389.35409375
transcript.pyannote[65].end 390.83909375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 391.54784375
transcript.pyannote[66].end 393.16784375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 393.42096875
transcript.pyannote[67].end 396.42471875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 397.36971875
transcript.pyannote[68].end 405.03096875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 406.87034375
transcript.pyannote[69].end 410.53221875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 411.22409375
transcript.pyannote[70].end 413.92409375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 414.54846875
transcript.pyannote[71].end 419.66159375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 422.24346875
transcript.pyannote[72].end 432.77346875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 434.12346875
transcript.pyannote[73].end 439.74284375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 439.37159375
transcript.pyannote[74].end 444.02909375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 441.44721875
transcript.pyannote[75].end 443.86034375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 444.02909375
transcript.pyannote[76].end 448.90596875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 448.50096875
transcript.pyannote[77].end 458.55846875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 459.28409375
transcript.pyannote[78].end 461.39346875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 462.84471875
transcript.pyannote[79].end 465.83159375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 466.54034375
transcript.pyannote[80].end 467.01284375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 468.32909375
transcript.pyannote[81].end 470.59034375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 471.01221875
transcript.pyannote[82].end 489.65909375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 490.14846875
transcript.pyannote[83].end 495.56534375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 492.24096875
transcript.pyannote[84].end 492.49409375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 492.52784375
transcript.pyannote[85].end 494.63721875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 495.56534375
transcript.pyannote[86].end 501.03284375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 499.76721875
transcript.pyannote[87].end 500.15534375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 501.64034375
transcript.pyannote[88].end 502.56846875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 502.87221875
transcript.pyannote[89].end 505.08284375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 506.23034375
transcript.pyannote[90].end 531.28971875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 532.69034375
transcript.pyannote[91].end 574.43909375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 574.86096875
transcript.pyannote[92].end 576.22784375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 576.43034375
transcript.pyannote[93].end 577.22346875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 577.59471875
transcript.pyannote[94].end 579.28221875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 580.12596875
transcript.pyannote[95].end 595.97159375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 596.66346875
transcript.pyannote[96].end 598.31721875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 598.67159375
transcript.pyannote[97].end 599.93721875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 600.37596875
transcript.pyannote[98].end 604.18971875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 604.37534375
transcript.pyannote[99].end 606.65346875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 607.51409375
transcript.pyannote[100].end 652.50284375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 652.82346875
transcript.pyannote[101].end 654.96659375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 655.48971875
transcript.pyannote[102].end 673.73159375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 674.13659375
transcript.pyannote[103].end 677.81534375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 678.77721875
transcript.pyannote[104].end 679.55346875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 680.32971875
transcript.pyannote[105].end 681.67971875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 681.40971875
transcript.pyannote[106].end 681.44346875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 681.46034375
transcript.pyannote[107].end 682.50659375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 683.31659375
transcript.pyannote[108].end 691.21409375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 691.51784375
transcript.pyannote[109].end 696.51284375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 696.00659375
transcript.pyannote[110].end 697.03596875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 697.60971875
transcript.pyannote[111].end 714.06284375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 714.90659375
transcript.pyannote[112].end 718.48409375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 718.63596875
transcript.pyannote[113].end 719.29409375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 719.51346875
transcript.pyannote[114].end 720.94784375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 721.08284375
transcript.pyannote[115].end 728.42346875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 728.99721875
transcript.pyannote[116].end 730.97159375
transcript.whisperx[0].start 4.277
transcript.whisperx[0].end 4.499
transcript.whisperx[0].text 謝謝主席
transcript.whisperx[1].start 7.408
transcript.whisperx[1].end 33.868
transcript.whisperx[1].text 1990的野百合學運剛剛中嘉賓趙偉已經說了他當年人在入伍不在現場其實當年吳思瑤也在現場但是我年紀比較小那時候我還不是大學生沒有辦法在自由廣場上跟著這些大哥哥大姐姐一直為了台灣的民主改革發聲那個時候我是高中生我主動在下課之後你也是高中生然後下課之後主動到長
transcript.whisperx[2].start 36.289
transcript.whisperx[2].end 56.264
transcript.whisperx[2].text 廣場外我們站在那裡一起向這些為民主奮鬥的學長姐們我們一起來支持跟奧援但是呢 欸 張偉你可以請坐我稍後請 沒關係但是我真的覺得35年前的野百合學運它的純真 它的理念
transcript.whisperx[3].start 57.004
transcript.whisperx[3].end 79.336
transcript.whisperx[3].text 被拿來跟2025年挺貪腐的一場遊行相提並論我的心情非常的沉重這個本質的良善與否大不相同對於台灣的政治革新所造成的時代意義也大不相同沒有開始計時喔我以為開始計時那先請部長請不好意思 那請部長好 那麼有請鄭部長
transcript.whisperx[4].start 85.498
transcript.whisperx[4].end 112.083
transcript.whisperx[4].text 所以真的不要把三十五年前的野百合學運那個神聖性對台灣的民主運動所造成所帶來的這種正向的時代意義跟這週末定格基挺貪腐的行動相提並論我認為是褻瀆了這些三十五年前在廣場上的年輕的學生們那我也要說
transcript.whisperx[5].start 114.154
transcript.whisperx[5].end 128.043
transcript.whisperx[5].text 在參與任何一場集會 結社遊行的人民無罪在自由民主的台灣 人民參與表達他的表意自由都是充分被保障的
transcript.whisperx[6].start 128.763
transcript.whisperx[6].end 144.534
transcript.whisperx[6].text 但是今天我們要訴求的反對政治介入司法反對去帶動民粹挑戰司法我認為該受撻伐跟質疑的是這些帶頭的政治工作者
transcript.whisperx[7].start 145.154
transcript.whisperx[7].end 169.566
transcript.whisperx[7].text 我們無意對人民的權利行使來進行批判該受批判的是這些搞政治鬥爭利用善良百姓來作為政治鬥爭工具的這些政客才值得被批判好 下一頁這場定格基活動的訴求是反對綠色威權
transcript.whisperx[8].start 172.677
transcript.whisperx[8].end 192.652
transcript.whisperx[8].text 如果是威權時代能夠有這樣的集會結社跟言論表意的自由嗎不可能有嘛當天的活動沒有人去限制沒有人去強害活動的進行甚至到活動結束的最終
transcript.whisperx[9].start 194.033
transcript.whisperx[9].end 214.231
transcript.whisperx[9].text 带头的黄国昌委员带着人民扬言要冲进下一次可以努力来冲进总统官邸或者是有统促党的代表在台上煽动人民说我们可以一把火把地检署烧掉
transcript.whisperx[10].start 215.359
transcript.whisperx[10].end 235.145
transcript.whisperx[10].text 这种涉及暴力威吓的言论就不能纵容除此之外当天的活动平和顺利的进行部长有任何来现场制止集会结社言论表意自由的公权力的作为吗
transcript.whisperx[11].start 238.306
transcript.whisperx[11].end 260.597
transcript.whisperx[11].text 是警政署我知道這是集會遊行法 這是警政署但是當天都非常非常的平和順利所以說並沒有威權的存在當今的自由民主的台灣如果有威權 如果搞戒嚴怎麼可能會有這樣的集會結社的自由呢不是嗎但是我個人又感同身受
transcript.whisperx[12].start 263.035
transcript.whisperx[12].end 281.422
transcript.whisperx[12].text 挺柯文哲是個幌子瘦肌肉搞政治的鬥爭來做政治的結盟才是事實啊當天除了發起的民眾黨的委員們我們國民黨的委員也都共襄盛舉了甚至統促黨的代表上台了
transcript.whisperx[13].start 282.382
transcript.whisperx[13].end 305.467
transcript.whisperx[13].text 還有支持一中框架的統派的團體也到場了白色 藍色 紅色大家一起來挺單一的司法個案社會會有評論的也不需要立委在這邊大家在這裡說你對我對 你錯我錯社會會有公斷歷史會有評價但是呢
transcript.whisperx[14].start 311.55
transcript.whisperx[14].end 335.356
transcript.whisperx[14].text 我想問一下部長喔從柯文哲的案子誰是舉發人柯文哲的案件是民意代表來告發的那你知道是誰嗎有知道是鍾小平跟游淑慧的私語人對有中性的私語人那林姿妙縣長的涉貪案是誰舉發的你知道嗎
transcript.whisperx[15].start 337.15
transcript.whisperx[15].end 355.761
transcript.whisperx[15].text 也是民意代表是民眾黨的陳婉慧前立委那請問高鴻安的涉貪案誰是舉發人?是,是國民黨籍的政治工作者林耕仁換言之來找民進黨出氣有沒有找錯對象?
transcript.whisperx[16].start 362.878
transcript.whisperx[16].end 372.2
transcript.whisperx[16].text 柯文哲的案是國民黨的鍾小平遊俗會舉發的林姿妙涉貪案是民眾黨的陳婉蕙提告的
transcript.whisperx[17].start 373.14
transcript.whisperx[17].end 388.525
transcript.whisperx[17].text 高鴻安的案件是國民黨籍的靈根人請問哪一位是民進黨人去舉發、去介入、去挑起、去製造司法選擇性辦案的可能就講事實嘛哪裡有執政黨在追殺在野黨呢
transcript.whisperx[18].start 397.421
transcript.whisperx[18].end 404.726
transcript.whisperx[18].text 更何況部長 任何司法個案偵辦的核心是證據吧事實上跟誰舉發也沒有關係啊有證據就辦 沒有證據勿枉勿縱嘛這是最簡單的司法常識 不是嗎所以這種 你個人對於這樣子的一個活動的主題
transcript.whisperx[19].start 422.284
transcript.whisperx[19].end 432.53
transcript.whisperx[19].text 部長您總有看法吧我們當然尊重集會表意的自由但是對於這樣一個扣上是執政黨在打壓司法的主題您總有您的見解吧
transcript.whisperx[20].start 435.322
transcript.whisperx[20].end 460.94
transcript.whisperx[20].text 我們這個表意的自由我們都尊重尤其是有依法生存那你要不要為司法人員認真辦案專業養成的司法人員發聲這個有對什麼要火燒這個我們是覺得說這個是有可能甚至有人拿著標語說法律人要退出司法體系你有沒有看到對於這樣的主張你有什麼comments對於我們這麼專業努力養成公正獨立辦案的司法人員
transcript.whisperx[21].start 462.918
transcript.whisperx[21].end 489.132
transcript.whisperx[21].text 作為大家長 您總要說一下吧捍衛法律人的尊嚴 專業我想我們在整個法律的尊嚴我想我們是要去維護的那對司法的這些公證我想我們要去呵護的而不是說去做一個脫序的攻擊那我想這個是我們不樂見的
transcript.whisperx[22].start 490.202
transcript.whisperx[22].end 503.501
transcript.whisperx[22].text 要為法律人堂堂正正公正辦案的法律人站出來說話因為我們是希望那個司法是維護公正聯名清廉的一個形象來 夏業我們一起來協詢黃國昌
transcript.whisperx[23].start 506.5
transcript.whisperx[23].end 530.905
transcript.whisperx[23].text 這是當初時代力量的黨主席徐永明涉入SOGO案的時候同一個黨籍的立法委員黃國昌他說的話尊重司法裁判與當事人上訴的權利也相信司法終究會給人民應得而公正的判決這是法律教我們的事也是每位公民應有的態度與信念
transcript.whisperx[24].start 533.411
transcript.whisperx[24].end 555.957
transcript.whisperx[24].text 2022的黃國昌何在?當時同樣是他同一個黨的黨主席涉案但黃國昌如果還有法律人的良知跟專業就應當回到他當年所說的尊重司法的裁判與當事人上訴的權利要相信司法會給人民應有的公正判決
transcript.whisperx[25].start 556.937
transcript.whisperx[25].end 578.074
transcript.whisperx[25].text 所有的法律人跟所有的公民都要有這樣的態度跟信念協尋黃國昌黃國昌已經消失太久了2025年在這裡跟我們坐在司法法治問政的黃國昌我真的已經認不得他了來最後下一頁如果委員們認為
transcript.whisperx[26].start 580.185
transcript.whisperx[26].end 602.557
transcript.whisperx[26].text 一場活動不能被認為是司法妨礙司法那麼我要說惡砍法務部的預算甚至在沒有開始審之前就揚言要砍預算這就是非常惡質的政治意圖我已經整理出來了過去三年法務部的預算被凍結被刪減都不到1%
transcript.whisperx[27].start 607.574
transcript.whisperx[27].end 626.983
transcript.whisperx[27].text 因為大家支持司法辦案立委當然可以監督預算但是要合乎理性以這個會期來講司法法委員會審訊的法務部預算已經被凍結的具體成案的是4691萬毒品防治基金被凍了1000萬
transcript.whisperx[28].start 628.504
transcript.whisperx[28].end 634.968
transcript.whisperx[28].text 保留凍結數有3億715萬這都是史上未見的以過去三年的凍結數審議完略是487萬但現在加總起來連保留連決議的已經高達3億67000萬史上未見而簡列數
transcript.whisperx[29].start 655.58
transcript.whisperx[29].end 677.554
transcript.whisperx[29].text 目前也有7362萬被保留很可能會透過表決砍光光部長你雖然擔任部長時間不長但是您當法務部同仁也整理給您過去審預算的一些經驗你有看過這個預算被砍得這麼高或是被凍得這麼多的情形嗎今年比較今年比較特殊
transcript.whisperx[30].start 683.379
transcript.whisperx[30].end 696.608
transcript.whisperx[30].text 所以我們希望委員能夠多支持因為保護部的預算事實上就全力在做一個整個一個推動我們各項的一個政策包括打炸毒品好 回到前一頁
transcript.whisperx[31].start 697.694
transcript.whisperx[31].end 712.244
transcript.whisperx[31].text 我要再次提醒如果在野黨的委員認為一場活動他們不承認不認為那是妨礙司法公正罪不認為是動用民粹來包圍施壓司法的話那我要提醒立委在立法院透過質詢預算
transcript.whisperx[32].start 715.146
transcript.whisperx[32].end 729.898
transcript.whisperx[32].text 這一個人事案用立委的實質影響力來干涉司法體系的運作這恐怕就會傷及我們的司法獨立跟運作了做這樣的提醒謝謝主席好謝謝吳委員