iVOD / 158254

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/37777873656546756a5a163c98980915ed4c8b3bbbcd3c6b3ccd2cad39e601c0f710b917354ebcad5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 葉元之
委員發言時間 11:32:50 - 11:42:15
影片長度 565
會議時間 2024-12-19T09:00:00+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20次全體委員會議(事由:一、審查114年度中央政府總預算案關於法務部及所屬主管收支部分。 二、審查114年度中央政府總預算案附屬單位預算非營業部分關於法務部主管「法務部矯正機關作業基金」收支部分。 三、審查114年度中央政府總預算案附屬單位預算非營業部分關於法務部主管「毒品防制基金」收支部分。 四、審查法務部函送財團法人臺灣更生保護會、財團法人福建更生保護會及財團法人犯罪被害人保護協會114年度預算書案。 五、併案審查 (一)委員徐巧芯等18人擬具「外役監條例第四條條文修正草案」案。 (二)委員王世堅等19人擬具「外役監條例第四條及第二十一條條文修正草案」案。 (三)委員陳玉珍等19人擬具「外役監條例第四條條文修正草案」案。 【第一案至第四案僅進行詢答;預算提案於12月24日中午12時截止收件】 【12月18日及19日兩天一次會】)
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 0.94221875
transcript.pyannote[0].end 1.49909375
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 9.17721875
transcript.pyannote[1].end 11.69159375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 11.86034375
transcript.pyannote[2].end 12.51846875
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 12.51846875
transcript.pyannote[3].end 12.77159375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 13.66596875
transcript.pyannote[4].end 14.39159375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 17.78346875
transcript.pyannote[5].end 28.36409375
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 28.68471875
transcript.pyannote[6].end 36.98721875
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 37.15596875
transcript.pyannote[7].end 44.78346875
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 45.15471875
transcript.pyannote[8].end 47.55096875
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 47.82096875
transcript.pyannote[9].end 49.98096875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 50.13284375
transcript.pyannote[10].end 52.71471875
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 53.03534375
transcript.pyannote[11].end 55.49909375
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 56.08971875
transcript.pyannote[12].end 71.49659375
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 72.10409375
transcript.pyannote[13].end 73.74096875
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 74.34846875
transcript.pyannote[14].end 77.90909375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 78.22971875
transcript.pyannote[15].end 81.33471875
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 81.63846875
transcript.pyannote[16].end 84.11909375
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 84.47346875
transcript.pyannote[17].end 89.65409375
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 90.24471875
transcript.pyannote[18].end 93.60284375
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 93.77159375
transcript.pyannote[19].end 94.73346875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 95.08784375
transcript.pyannote[20].end 97.61909375
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 97.82159375
transcript.pyannote[21].end 99.42471875
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 100.15034375
transcript.pyannote[22].end 100.85909375
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 102.04034375
transcript.pyannote[23].end 111.67596875
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 112.06409375
transcript.pyannote[24].end 123.84284375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 112.53659375
transcript.pyannote[25].end 112.84034375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 123.84284375
transcript.pyannote[26].end 153.64409375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 135.41909375
transcript.pyannote[27].end 135.46971875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 153.96471875
transcript.pyannote[28].end 153.98159375
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 153.98159375
transcript.pyannote[29].end 158.36909375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 158.28471875
transcript.pyannote[30].end 163.12784375
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 158.82471875
transcript.pyannote[31].end 158.97659375
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 159.36471875
transcript.pyannote[32].end 159.41534375
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 161.03534375
transcript.pyannote[33].end 165.22034375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 163.46534375
transcript.pyannote[34].end 163.66784375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 164.35971875
transcript.pyannote[35].end 169.11846875
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 168.35909375
transcript.pyannote[36].end 169.42221875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 169.48971875
transcript.pyannote[37].end 174.33284375
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 170.56971875
transcript.pyannote[38].end 171.71721875
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 173.42159375
transcript.pyannote[39].end 174.56909375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 174.92346875
transcript.pyannote[40].end 191.42721875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 191.78159375
transcript.pyannote[41].end 199.12221875
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 191.86596875
transcript.pyannote[42].end 192.25409375
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 193.38471875
transcript.pyannote[43].end 194.29596875
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 198.78471875
transcript.pyannote[44].end 199.03784375
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 199.12221875
transcript.pyannote[45].end 200.59034375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 200.59034375
transcript.pyannote[46].end 215.27159375
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 204.21846875
transcript.pyannote[47].end 204.58971875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 215.52471875
transcript.pyannote[48].end 224.13096875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 224.29971875
transcript.pyannote[49].end 232.58534375
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 232.21409375
transcript.pyannote[50].end 243.01409375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 242.44034375
transcript.pyannote[51].end 246.94596875
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 243.30096875
transcript.pyannote[52].end 244.41471875
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 244.80284375
transcript.pyannote[53].end 246.06846875
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 246.84471875
transcript.pyannote[54].end 246.92909375
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 246.94596875
transcript.pyannote[55].end 247.24971875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 247.24971875
transcript.pyannote[56].end 249.03846875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 249.71346875
transcript.pyannote[57].end 259.85534375
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 250.96221875
transcript.pyannote[58].end 251.40096875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 260.14221875
transcript.pyannote[59].end 261.17159375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 261.82971875
transcript.pyannote[60].end 275.81909375
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 276.25784375
transcript.pyannote[61].end 286.36596875
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 286.72034375
transcript.pyannote[62].end 289.48784375
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 289.85909375
transcript.pyannote[63].end 294.24659375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 294.24659375
transcript.pyannote[64].end 299.96721875
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 294.73596875
transcript.pyannote[65].end 296.98034375
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 298.36409375
transcript.pyannote[66].end 298.61721875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 300.22034375
transcript.pyannote[67].end 302.70096875
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 302.19471875
transcript.pyannote[68].end 303.30846875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 303.25784375
transcript.pyannote[69].end 307.64534375
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 304.15221875
transcript.pyannote[70].end 305.78909375
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 306.68346875
transcript.pyannote[71].end 315.81284375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 314.88471875
transcript.pyannote[72].end 316.33596875
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 316.33596875
transcript.pyannote[73].end 320.33534375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 317.24721875
transcript.pyannote[74].end 317.68596875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 320.84159375
transcript.pyannote[75].end 329.80221875
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 330.00471875
transcript.pyannote[76].end 332.77221875
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 333.27846875
transcript.pyannote[77].end 337.44659375
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 337.85159375
transcript.pyannote[78].end 338.49284375
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 339.04971875
transcript.pyannote[79].end 341.71596875
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 341.91846875
transcript.pyannote[80].end 342.62721875
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 343.31909375
transcript.pyannote[81].end 344.50034375
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 344.77034375
transcript.pyannote[82].end 352.06034375
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 352.17846875
transcript.pyannote[83].end 359.56971875
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 360.07596875
transcript.pyannote[84].end 376.68096875
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 377.13659375
transcript.pyannote[85].end 377.15346875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 377.15346875
transcript.pyannote[86].end 377.17034375
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 377.17034375
transcript.pyannote[87].end 377.59221875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 377.59221875
transcript.pyannote[88].end 387.90284375
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 382.23284375
transcript.pyannote[89].end 382.28346875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 382.28346875
transcript.pyannote[90].end 382.46909375
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 382.46909375
transcript.pyannote[91].end 382.50284375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 382.50284375
transcript.pyannote[92].end 384.22409375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 386.18159375
transcript.pyannote[93].end 386.21534375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 389.03346875
transcript.pyannote[94].end 433.58346875
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 433.58346875
transcript.pyannote[95].end 436.21596875
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 437.04284375
transcript.pyannote[96].end 443.03346875
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 443.35409375
transcript.pyannote[97].end 447.70784375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 447.97784375
transcript.pyannote[98].end 453.20909375
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 453.66471875
transcript.pyannote[99].end 457.88346875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 458.52471875
transcript.pyannote[100].end 466.74284375
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 465.35909375
transcript.pyannote[101].end 465.59534375
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 466.05096875
transcript.pyannote[102].end 471.31596875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 468.39659375
transcript.pyannote[103].end 468.54846875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 472.09221875
transcript.pyannote[104].end 478.65659375
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 478.65659375
transcript.pyannote[105].end 478.84221875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 478.84221875
transcript.pyannote[106].end 479.23034375
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 479.23034375
transcript.pyannote[107].end 479.29784375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 479.29784375
transcript.pyannote[108].end 479.33159375
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 479.33159375
transcript.pyannote[109].end 490.68846875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 479.34846875
transcript.pyannote[110].end 479.80409375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 482.77409375
transcript.pyannote[111].end 484.03971875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 487.14471875
transcript.pyannote[112].end 487.80284375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 489.30471875
transcript.pyannote[113].end 495.91971875
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 492.05534375
transcript.pyannote[114].end 492.42659375
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 495.91971875
transcript.pyannote[115].end 496.44284375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 496.44284375
transcript.pyannote[116].end 498.29909375
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 496.84784375
transcript.pyannote[117].end 501.23534375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 499.31159375
transcript.pyannote[118].end 500.62784375
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 503.42909375
transcript.pyannote[119].end 506.02784375
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 506.02784375
transcript.pyannote[120].end 506.95596875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 506.95596875
transcript.pyannote[121].end 507.00659375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 508.03596875
transcript.pyannote[122].end 509.21721875
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 509.21721875
transcript.pyannote[123].end 513.68909375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 513.04784375
transcript.pyannote[124].end 518.00909375
transcript.pyannote[125].speaker SPEAKER_03
transcript.pyannote[125].start 515.89971875
transcript.pyannote[125].end 518.26221875
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 518.92034375
transcript.pyannote[126].end 520.16909375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 522.83534375
transcript.pyannote[127].end 531.13784375
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 531.13784375
transcript.pyannote[128].end 531.57659375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 531.15471875
transcript.pyannote[129].end 537.07784375
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 531.84659375
transcript.pyannote[130].end 531.94784375
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 533.56784375
transcript.pyannote[131].end 535.93034375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 537.24659375
transcript.pyannote[132].end 541.85346875
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 537.56721875
transcript.pyannote[133].end 538.32659375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 542.14034375
transcript.pyannote[134].end 544.97534375
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 544.97534375
transcript.pyannote[135].end 552.92346875
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 553.26096875
transcript.pyannote[136].end 553.95284375
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 554.00346875
transcript.pyannote[137].end 554.03721875
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 554.05409375
transcript.pyannote[138].end 558.40784375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 554.23971875
transcript.pyannote[139].end 555.15096875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 558.47534375
transcript.pyannote[140].end 562.06971875
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 562.28909375
transcript.pyannote[141].end 562.99784375
transcript.whisperx[0].start 9.54
transcript.whisperx[0].end 11.924
transcript.whisperx[0].text 主席好,請麻煩請法務部長部長部長你好
transcript.whisperx[1].start 18.013
transcript.whisperx[1].end 18.254
transcript.whisperx[1].text 委員會主席
transcript.whisperx[2].start 35.513
transcript.whisperx[2].end 37.694
transcript.whisperx[2].text 一、審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[3].start 53.118
transcript.whisperx[3].end 71.301
transcript.whisperx[3].text 那右邊這個新聞圖很諷刺就是被遣返回台的詐欺犯一看到是華航整個都放心了為什麼因為他們很害怕在國外被審判審判的話刑期很重一回來想說台灣的刑期很低啊沒多久就可能被放出來甚至於連關都不用
transcript.whisperx[4].start 72.179
transcript.whisperx[4].end 79.144
transcript.whisperx[4].text 收支部分關於法務部矯正機關作業基金收支部分關於法務部矯正機關作業基金收支部分關於法務部矯正機關作業基金收支部分關於法務部矯正機關作業基金
transcript.whisperx[5].start 102.076
transcript.whisperx[5].end 103.658
transcript.whisperx[5].text 審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[6].start 121.56
transcript.whisperx[6].end 127.582
transcript.whisperx[6].text 收支部分關於法務部矯正機關作業基金收支部分關於法務部矯正機關作業基金收支部分關於法務部矯正機關作業基金收支部分關於法務部矯正機關作業基金
transcript.whisperx[7].start 151.269
transcript.whisperx[7].end 152.81
transcript.whisperx[7].text 收支部分關於法務部矯正機關作業基金
transcript.whisperx[8].start 174.91
transcript.whisperx[8].end 191.086
transcript.whisperx[8].text 那這第一法制面我們修法嘛解決法官侵犯所以我們那個修法譬如說他炸去五百萬幹的時候幾億的只要五百萬的話就三年以下把地板從一年弄到三年了十年以下那超過一億的就五年以上十二年以下他最近在怎麼侵犯你要判五年啊
transcript.whisperx[9].start 191.837
transcript.whisperx[9].end 193.659
transcript.whisperx[9].text 司法及法制委員會第11屆第2會期司法及法制委員會第11屆第2會期
transcript.whisperx[10].start 211.895
transcript.whisperx[10].end 213.516
transcript.whisperx[10].text 收支部分關於法務部矯正機關作業基金
transcript.whisperx[11].start 231.269
transcript.whisperx[11].end 238.091
transcript.whisperx[11].text 收支部分關於法務部矯正機關作業基金收支部分關於法務部矯正機關作業基金收支部分關於法務部矯正機關作業基金收支部分關於法務部矯正機關作業基金
transcript.whisperx[12].start 260.253
transcript.whisperx[12].end 265.134
transcript.whisperx[12].text 二、審查114年度中央政府總預算案附屬單位預算非營業部分關於法務部矯正機關作業基金
transcript.whisperx[13].start 286.781
transcript.whisperx[13].end 310.879
transcript.whisperx[13].text 那我想請教一下因為二級毒品之後你認為對於這個毒品的管制就可以達到你想要的效果嗎?有效果你這個一個月就有效果了嗎?我想這個效果一定會顯出出來的那個上市煙彈這個這部分已經有效果了是不是?當然有效果你說已經有了嗎?那部長我們也是希望有效果但是程度剛剛洪峰凱委員所講的
transcript.whisperx[14].start 311.679
transcript.whisperx[14].end 315.983
transcript.whisperx[14].text 其實法務部如果把這個列為重點查緝對象,應該要跟...我們就已經認為重點查緝對象...因為...不然我的問題都還沒有問,可以先聽我講完嗎?
transcript.whisperx[15].start 320.905
transcript.whisperx[15].end 342.414
transcript.whisperx[15].text 所以說如果你把這列為重點查緝對象的話我覺得跨機關的合作要很重要啦比如說第一個警政署有沒有相關的配合像一般來講的話這個毒品查到你要去檢測嘛但是之前就發生過他們給他們的篩記就是不夠很多派出所可能就只有拿到一個篩記不敢用
transcript.whisperx[16].start 343.754
transcript.whisperx[16].end 359.005
transcript.whisperx[16].text 所以你把法則定得比較重但是如果相關機關沒辦法配合的話這個毒品的查緝還是一樣沒辦法達到效果還有類似像速發布的狀況也是一樣就是說在臉書的社團或是Google很容易就查到公然的販賣
transcript.whisperx[17].start 360.126
transcript.whisperx[17].end 361.366
transcript.whisperx[17].text 三、審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[18].start 389.259
transcript.whisperx[18].end 416.837
transcript.whisperx[18].text 報告委員有關於跨部會的合作我們台高建署已經總共從今年3月到現在已經開了12次會議剛剛委員非常垂詢的有關到網站的這些的查緝我們也建議這部分要及時的停止解析在上個禮拜速發部有開過會有邀請TWNIC這部分大家取得一個共識未來如果有許諾和這些的販毒的這些的網站
transcript.whisperx[19].start 417.797
transcript.whisperx[19].end 419.618
transcript.whisperx[19].text 收支部分關於法務部矯正機關作業基金收支部分
transcript.whisperx[20].start 437.096
transcript.whisperx[20].end 457.573
transcript.whisperx[20].text 有一個新聞說那個八大行業到某一個大學去招募女學生加入後來法官是判無罪因為法官講說八大行業去大學招募女學生他這個行為就跟社團招生的性質一樣所以是無罪那我不知道說站在法務部的立場覺得這樣子是OK的嗎
transcript.whisperx[21].start 459.422
transcript.whisperx[21].end 463.004
transcript.whisperx[21].text 八大行業到大學去招募女學生跟社團招生性質一不一樣。
transcript.whisperx[22].start 472.128
transcript.whisperx[22].end 501.059
transcript.whisperx[22].text 那個這個我想檢察官居然已經有起訴了齁那我想法院要判決無罪我想檢察官會嚴厲來對我覺得我們不針對個案啦我是一個通案啦因為如果是這樣子講的話那八大行業很高興啊他們可以到各大學去招募因為這個就是社團招生嘛那當然是在整個一個道德或法律上這個是不允許或不適可不適合的一個問題嘛對所以你覺得這部長你覺得不行齁那他違反到什麼法
transcript.whisperx[23].start 503.539
transcript.whisperx[23].end 503.899
transcript.whisperx[23].text 社會秩序維護法違反社會秩序維護法
transcript.whisperx[24].start 522.881
transcript.whisperx[24].end 541.664
transcript.whisperx[24].text 各位報告,這個其實不是檢察官起訴,他是違反社會秩序維護法,是司法檢察機關直接向法院移送,法院受判免罰,不罰。他其實跟檢察機關是沒有關係的。我知道我知道,我只問態度嘛,因為今天這個新聞出來。但這個權責上,他權責上他是司法檢察移送法院來做處理的。
transcript.whisperx[25].start 542.205
transcript.whisperx[25].end 544.487
transcript.whisperx[25].text 但是我們支持警方的移送行為,但法院的判決我們也要尊重啦。
IVOD_ID 158254
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/158254
日期 2024-12-19
會議資料.會議代碼 委員會-11-2-36-20
會議資料.屆 11
會議資料.會期 2
會議資料.會次 20
會議資料.種類 委員會
會議資料.委員會代碼[0] 36
會議資料.標題 第11屆第2會期司法及法制委員會第20次全體委員會議
影片種類 Clip
開始時間 2024-12-19T11:32:50+08:00
結束時間 2024-12-19T11:42:15+08:00
支援功能[0] ai-transcript