iVOD / 168250

Field Value
IVOD_ID 168250
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168250
日期 2026-04-08
會議資料.會議代碼 委員會-11-5-15-5
會議資料.會議代碼:str 第11屆第5會期內政委員會第5次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 5
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第5會期內政委員會第5次全體委員會議
影片種類 Clip
開始時間 2026-04-08T10:37:30+08:00
結束時間 2026-04-08T10:52:25+08:00
影片長度 00:14:55
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/70d8fc05dcd8abb01c395aab9e8be43b2d46cf68b7d09b75ce185cfc45202cc09d0dce7f622c2f575ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王美惠
委員發言時間 10:37:30 - 10:52:25
會議時間 2026-04-08T09:00:00+08:00
會議名稱 立法院第11屆第5會期內政委員會第5次全體委員會議(事由:【變更議程】 一、審查委員羅智強等23人擬具「公職人員選舉罷免法增訂第二十四條之一條文草案」案。二、審查委員徐欣瑩等17人擬具「公職人員選舉罷免法第一百三十三條條文修正草案」案。三、審查委員林宜瑾等20人擬具「公職人員選舉罷免法第十四條條文修正草案」案。四、審查委員張雅琳等19人擬具「公職人員選舉罷免法第十四條及第一百三十四條條文修正草案」案。五、審查委員范雲等17人擬具「公職人員選舉罷免法第十四條條文修正草案」案。六、審查委員柯志恩等18人擬具「公職人員選舉罷免法第十四條條文修正草案」案。七、審查委員陳菁徽等17人擬具「公職人員選舉罷免法第十四條條文修正草案」案。八、審查委員陳玉珍等17人擬具「公職人員選舉罷免法第二十六條條文修正草案」案。九、審查台灣民眾黨黨團擬具「公職人員選舉罷免法第二十六條條文修正草案」案。十、審查委員林淑芬等23人擬具「公職人員選舉罷免法第二十六條條文修正草案」案。十一、審查委員翁曉玲等16人擬具「公職人員選舉罷免法第二十六條條文修正草案」案。十二、審查委員林宜瑾等22人擬具「公職人員選舉罷免法第二十六條條文修正草案」案。十三、審查委員林宜瑾等20人擬具「總統副總統選舉罷免法第十一條及第二十三條條文修正草案」案。十四、審查委員張雅琳等19人擬具「總統副總統選舉罷免法第十一條、第二十三條及第一百十七條條文修正草案」案。十五、審查委員范雲等17人擬具「總統副總統選舉罷免法第十一條及第二十三條條文修正草案」案。十六、審查委員柯志恩等17人擬具「總統副總統選舉罷免法第十一條及第二十三條條文修正草案」案。十七、審查委員翁曉玲等16人擬具「總統副總統選舉罷免法第二十六條條文修正草案」案。十八、審查委員林宜瑾等20人擬具「總統副總統選舉罷免法第二十六條條文修正草案」案。 【僅詢答;第十一案及第十七案如經復議則不予審查】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 3.99659375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 4.23284375
transcript.pyannote[1].end 5.39721875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 10.72971875
transcript.pyannote[2].end 20.21346875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 20.63534375
transcript.pyannote[3].end 26.00159375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 26.18721875
transcript.pyannote[4].end 27.92534375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 28.56659375
transcript.pyannote[5].end 29.66346875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 30.22034375
transcript.pyannote[6].end 32.07659375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 33.30846875
transcript.pyannote[7].end 33.74721875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 36.41346875
transcript.pyannote[8].end 36.97034375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 36.97034375
transcript.pyannote[9].end 37.13909375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 38.79284375
transcript.pyannote[10].end 40.96971875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 40.96971875
transcript.pyannote[11].end 41.83034375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 42.53909375
transcript.pyannote[12].end 47.56784375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 48.37784375
transcript.pyannote[13].end 52.15784375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 52.46159375
transcript.pyannote[14].end 58.11471875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 58.80659375
transcript.pyannote[15].end 62.28284375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 62.67096875
transcript.pyannote[16].end 65.16846875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 65.80971875
transcript.pyannote[17].end 66.70409375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 67.42971875
transcript.pyannote[18].end 69.85971875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 70.38284375
transcript.pyannote[19].end 72.18846875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 72.61034375
transcript.pyannote[20].end 73.87596875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 74.14596875
transcript.pyannote[21].end 74.97284375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 74.97284375
transcript.pyannote[22].end 75.39471875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 76.93034375
transcript.pyannote[23].end 86.00909375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 86.36346875
transcript.pyannote[24].end 89.78909375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 90.00846875
transcript.pyannote[25].end 92.55659375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 92.96159375
transcript.pyannote[26].end 101.14596875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 101.97284375
transcript.pyannote[27].end 102.09096875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 102.09096875
transcript.pyannote[28].end 105.88784375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 106.64721875
transcript.pyannote[29].end 108.40221875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 108.13221875
transcript.pyannote[30].end 108.63846875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 109.21221875
transcript.pyannote[31].end 110.15721875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 110.56221875
transcript.pyannote[32].end 113.05971875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 113.73471875
transcript.pyannote[33].end 121.05846875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 121.63221875
transcript.pyannote[34].end 124.92284375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 125.63159375
transcript.pyannote[35].end 127.21784375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 127.53846875
transcript.pyannote[36].end 130.96409375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 131.67284375
transcript.pyannote[37].end 140.09346875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 140.43096875
transcript.pyannote[38].end 141.96659375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 141.96659375
transcript.pyannote[39].end 142.91159375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 142.10159375
transcript.pyannote[40].end 142.45596875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 142.91159375
transcript.pyannote[41].end 142.92846875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 143.36721875
transcript.pyannote[42].end 145.98284375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 146.18534375
transcript.pyannote[43].end 147.77159375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 148.00784375
transcript.pyannote[44].end 150.60659375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 150.91034375
transcript.pyannote[45].end 156.98534375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 151.02846875
transcript.pyannote[46].end 151.43346875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 157.08659375
transcript.pyannote[47].end 168.84846875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 169.33784375
transcript.pyannote[48].end 170.21534375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 169.47284375
transcript.pyannote[49].end 169.92846875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 170.55284375
transcript.pyannote[50].end 171.09284375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 171.24471875
transcript.pyannote[51].end 174.29909375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 174.94034375
transcript.pyannote[52].end 176.08784375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 176.64471875
transcript.pyannote[53].end 177.99471875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 178.34909375
transcript.pyannote[54].end 179.88471875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 180.10409375
transcript.pyannote[55].end 187.56284375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 188.11971875
transcript.pyannote[56].end 189.95909375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 190.21221875
transcript.pyannote[57].end 192.89534375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 193.70534375
transcript.pyannote[58].end 196.00034375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 196.08471875
transcript.pyannote[59].end 197.33346875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 197.33346875
transcript.pyannote[60].end 197.85659375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 198.17721875
transcript.pyannote[61].end 198.97034375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 198.97034375
transcript.pyannote[62].end 205.63596875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 205.63596875
transcript.pyannote[63].end 210.20909375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 210.74909375
transcript.pyannote[64].end 216.18284375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 216.33471875
transcript.pyannote[65].end 218.19096875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 218.52846875
transcript.pyannote[66].end 221.83596875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 222.32534375
transcript.pyannote[67].end 226.03784375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 226.49346875
transcript.pyannote[68].end 226.98284375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 227.15159375
transcript.pyannote[69].end 228.67034375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 228.97409375
transcript.pyannote[70].end 236.26409375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 236.78721875
transcript.pyannote[71].end 238.79534375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 240.29721875
transcript.pyannote[72].end 240.80346875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 241.32659375
transcript.pyannote[73].end 245.74784375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 246.81096875
transcript.pyannote[74].end 248.73471875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 248.73471875
transcript.pyannote[75].end 248.81909375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 249.49409375
transcript.pyannote[76].end 264.10784375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 257.50971875
transcript.pyannote[77].end 257.52659375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 257.52659375
transcript.pyannote[78].end 257.96534375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 257.96534375
transcript.pyannote[79].end 258.01596875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 264.44534375
transcript.pyannote[80].end 280.40909375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 279.32909375
transcript.pyannote[81].end 279.78471875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 279.91971875
transcript.pyannote[82].end 284.47596875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 284.96534375
transcript.pyannote[83].end 286.85534375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 286.87221875
transcript.pyannote[84].end 287.98596875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 288.34034375
transcript.pyannote[85].end 289.94346875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 290.07846875
transcript.pyannote[86].end 294.12846875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 294.56721875
transcript.pyannote[87].end 295.79909375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 295.98471875
transcript.pyannote[88].end 300.77721875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 301.04721875
transcript.pyannote[89].end 305.24909375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 305.53596875
transcript.pyannote[90].end 309.46784375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 309.61971875
transcript.pyannote[91].end 310.32846875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 310.61534375
transcript.pyannote[92].end 316.04909375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 313.92284375
transcript.pyannote[93].end 325.54971875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 323.25471875
transcript.pyannote[94].end 323.77784375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 325.83659375
transcript.pyannote[95].end 330.44346875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 330.64596875
transcript.pyannote[96].end 335.16846875
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 335.48909375
transcript.pyannote[97].end 344.19659375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 344.44971875
transcript.pyannote[98].end 346.59284375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 346.67721875
transcript.pyannote[99].end 348.46596875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 348.70221875
transcript.pyannote[100].end 351.31784375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 351.35159375
transcript.pyannote[101].end 355.03034375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 355.35096875
transcript.pyannote[102].end 356.68409375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 357.29159375
transcript.pyannote[103].end 360.88596875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 361.62846875
transcript.pyannote[104].end 367.31534375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 367.73721875
transcript.pyannote[105].end 368.95221875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 369.45846875
transcript.pyannote[106].end 370.70721875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 371.68596875
transcript.pyannote[107].end 372.05721875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 373.12034375
transcript.pyannote[108].end 373.96409375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 374.31846875
transcript.pyannote[109].end 376.15784375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 377.03534375
transcript.pyannote[110].end 377.32221875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 377.67659375
transcript.pyannote[111].end 379.73534375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 380.15721875
transcript.pyannote[112].end 382.38471875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 382.73909375
transcript.pyannote[113].end 383.09346875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 384.08909375
transcript.pyannote[114].end 384.88221875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 385.62471875
transcript.pyannote[115].end 386.70471875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 387.34596875
transcript.pyannote[116].end 387.88596875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 388.24034375
transcript.pyannote[117].end 389.42159375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 389.96159375
transcript.pyannote[118].end 391.24409375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 391.46346875
transcript.pyannote[119].end 392.30721875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 392.67846875
transcript.pyannote[120].end 394.23096875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 394.53471875
transcript.pyannote[121].end 396.81284375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 397.09971875
transcript.pyannote[122].end 401.01471875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 401.77409375
transcript.pyannote[123].end 406.95471875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 407.42721875
transcript.pyannote[124].end 411.54471875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 411.98346875
transcript.pyannote[125].end 421.16346875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 421.70346875
transcript.pyannote[126].end 423.25596875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 423.45846875
transcript.pyannote[127].end 425.87159375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 426.69846875
transcript.pyannote[128].end 427.91346875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 428.18346875
transcript.pyannote[129].end 429.88784375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 430.10721875
transcript.pyannote[130].end 431.67659375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 432.53721875
transcript.pyannote[131].end 433.11096875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 433.31346875
transcript.pyannote[132].end 434.61284375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 433.48221875
transcript.pyannote[133].end 433.78596875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 434.84909375
transcript.pyannote[134].end 437.48159375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 438.03846875
transcript.pyannote[135].end 439.87784375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 440.24909375
transcript.pyannote[136].end 442.61159375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 443.05034375
transcript.pyannote[137].end 445.05846875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 445.78409375
transcript.pyannote[138].end 453.74909375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 454.44096875
transcript.pyannote[139].end 455.35221875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 455.70659375
transcript.pyannote[140].end 458.10284375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 458.96346875
transcript.pyannote[141].end 460.22909375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 460.49909375
transcript.pyannote[142].end 461.41034375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 462.06846875
transcript.pyannote[143].end 463.33409375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 463.45221875
transcript.pyannote[144].end 466.05096875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 466.43909375
transcript.pyannote[145].end 469.35846875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 467.16471875
transcript.pyannote[146].end 468.90284375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 470.05034375
transcript.pyannote[147].end 475.82159375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 473.83034375
transcript.pyannote[148].end 474.42096875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 477.47534375
transcript.pyannote[149].end 486.82409375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 486.41909375
transcript.pyannote[150].end 494.83971875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 495.05909375
transcript.pyannote[151].end 498.72096875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 499.19346875
transcript.pyannote[152].end 501.69096875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 501.82596875
transcript.pyannote[153].end 502.66971875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 502.99034375
transcript.pyannote[154].end 507.46221875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 503.26034375
transcript.pyannote[155].end 503.36159375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 507.79971875
transcript.pyannote[156].end 511.41096875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 511.74846875
transcript.pyannote[157].end 512.74409375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 512.91284375
transcript.pyannote[158].end 516.16971875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 516.89534375
transcript.pyannote[159].end 518.73471875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 519.51096875
transcript.pyannote[160].end 521.89034375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 523.24034375
transcript.pyannote[161].end 524.45534375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 525.06284375
transcript.pyannote[162].end 526.59846875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 526.93596875
transcript.pyannote[163].end 529.02846875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 529.87221875
transcript.pyannote[164].end 532.99409375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 533.38221875
transcript.pyannote[165].end 534.59721875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 535.18784375
transcript.pyannote[166].end 536.65596875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 537.34784375
transcript.pyannote[167].end 539.59221875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 539.81159375
transcript.pyannote[168].end 542.12346875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 542.51159375
transcript.pyannote[169].end 544.50284375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 544.87409375
transcript.pyannote[170].end 546.79784375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 547.37159375
transcript.pyannote[171].end 549.26159375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 549.85221875
transcript.pyannote[172].end 554.23971875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 554.94846875
transcript.pyannote[173].end 556.85534375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 558.07034375
transcript.pyannote[174].end 558.94784375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 559.38659375
transcript.pyannote[175].end 560.71971875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 561.22596875
transcript.pyannote[176].end 564.11159375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 564.21284375
transcript.pyannote[177].end 566.94659375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 567.23346875
transcript.pyannote[178].end 570.69284375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 571.50284375
transcript.pyannote[179].end 573.74721875
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 574.59096875
transcript.pyannote[180].end 576.14346875
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 576.61596875
transcript.pyannote[181].end 577.66221875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 577.99971875
transcript.pyannote[182].end 583.55159375
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 583.85534375
transcript.pyannote[183].end 587.97284375
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 587.97284375
transcript.pyannote[184].end 588.36096875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 588.36096875
transcript.pyannote[185].end 588.41159375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 588.81659375
transcript.pyannote[186].end 594.18284375
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 594.28409375
transcript.pyannote[187].end 597.03471875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 597.20346875
transcript.pyannote[188].end 608.42534375
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 609.03284375
transcript.pyannote[189].end 610.80471875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 611.17596875
transcript.pyannote[190].end 616.05284375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 615.14159375
transcript.pyannote[191].end 615.78284375
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 616.13721875
transcript.pyannote[192].end 616.40721875
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 616.40721875
transcript.pyannote[193].end 616.42409375
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 616.42409375
transcript.pyannote[194].end 616.45784375
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 616.45784375
transcript.pyannote[195].end 616.57596875
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 616.57596875
transcript.pyannote[196].end 616.66034375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 616.66034375
transcript.pyannote[197].end 617.97659375
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 617.97659375
transcript.pyannote[198].end 623.69721875
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 624.35534375
transcript.pyannote[199].end 625.03034375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 625.03034375
transcript.pyannote[200].end 625.62096875
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 625.62096875
transcript.pyannote[201].end 625.67159375
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 625.67159375
transcript.pyannote[202].end 625.68846875
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 626.05971875
transcript.pyannote[203].end 626.07659375
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 626.07659375
transcript.pyannote[204].end 628.92846875
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 629.01284375
transcript.pyannote[205].end 629.02971875
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 629.08034375
transcript.pyannote[206].end 632.45534375
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 632.77596875
transcript.pyannote[207].end 634.14284375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 634.78409375
transcript.pyannote[208].end 635.20596875
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 635.59409375
transcript.pyannote[209].end 639.01971875
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 639.44159375
transcript.pyannote[210].end 642.69846875
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 642.81659375
transcript.pyannote[211].end 644.57159375
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 645.51659375
transcript.pyannote[212].end 649.38096875
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 650.03909375
transcript.pyannote[213].end 650.96721875
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 651.64221875
transcript.pyannote[214].end 652.51971875
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 653.34659375
transcript.pyannote[215].end 654.84846875
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 655.40534375
transcript.pyannote[216].end 658.13909375
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 658.88159375
transcript.pyannote[217].end 662.22284375
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 662.54346875
transcript.pyannote[218].end 666.17159375
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 666.81284375
transcript.pyannote[219].end 669.15846875
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 669.44534375
transcript.pyannote[220].end 670.55909375
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 670.87971875
transcript.pyannote[221].end 670.89659375
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 670.89659375
transcript.pyannote[222].end 674.37284375
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 674.60909375
transcript.pyannote[223].end 682.62471875
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 683.62034375
transcript.pyannote[224].end 684.19409375
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 685.13909375
transcript.pyannote[225].end 687.21471875
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 687.36659375
transcript.pyannote[226].end 689.86409375
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 690.65721875
transcript.pyannote[227].end 706.85721875
transcript.pyannote[228].speaker SPEAKER_00
transcript.pyannote[228].start 707.61659375
transcript.pyannote[228].end 716.74596875
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 717.40409375
transcript.pyannote[229].end 724.99784375
transcript.pyannote[230].speaker SPEAKER_00
transcript.pyannote[230].start 725.74034375
transcript.pyannote[230].end 726.31409375
transcript.pyannote[231].speaker SPEAKER_00
transcript.pyannote[231].start 726.75284375
transcript.pyannote[231].end 728.79471875
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 729.01409375
transcript.pyannote[232].end 731.08971875
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 729.80721875
transcript.pyannote[233].end 731.81534375
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 731.37659375
transcript.pyannote[234].end 732.55784375
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 732.87846875
transcript.pyannote[235].end 733.82346875
transcript.pyannote[236].speaker SPEAKER_00
transcript.pyannote[236].start 733.92471875
transcript.pyannote[236].end 738.91971875
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 739.40909375
transcript.pyannote[237].end 740.67471875
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 741.36659375
transcript.pyannote[238].end 742.12596875
transcript.pyannote[239].speaker SPEAKER_00
transcript.pyannote[239].start 742.44659375
transcript.pyannote[239].end 743.30721875
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 743.88096875
transcript.pyannote[240].end 747.35721875
transcript.pyannote[241].speaker SPEAKER_00
transcript.pyannote[241].start 748.33596875
transcript.pyannote[241].end 749.41596875
transcript.pyannote[242].speaker SPEAKER_00
transcript.pyannote[242].start 750.27659375
transcript.pyannote[242].end 752.20034375
transcript.pyannote[243].speaker SPEAKER_00
transcript.pyannote[243].start 752.72346875
transcript.pyannote[243].end 754.09034375
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 754.78221875
transcript.pyannote[244].end 757.41471875
transcript.pyannote[245].speaker SPEAKER_00
transcript.pyannote[245].start 757.97159375
transcript.pyannote[245].end 758.49471875
transcript.pyannote[246].speaker SPEAKER_00
transcript.pyannote[246].start 759.06846875
transcript.pyannote[246].end 759.87846875
transcript.pyannote[247].speaker SPEAKER_00
transcript.pyannote[247].start 760.36784375
transcript.pyannote[247].end 761.98784375
transcript.pyannote[248].speaker SPEAKER_00
transcript.pyannote[248].start 763.00034375
transcript.pyannote[248].end 766.02096875
transcript.pyannote[249].speaker SPEAKER_00
transcript.pyannote[249].start 766.78034375
transcript.pyannote[249].end 770.45909375
transcript.pyannote[250].speaker SPEAKER_00
transcript.pyannote[250].start 770.81346875
transcript.pyannote[250].end 774.28971875
transcript.pyannote[251].speaker SPEAKER_00
transcript.pyannote[251].start 774.54284375
transcript.pyannote[251].end 777.91784375
transcript.pyannote[252].speaker SPEAKER_00
transcript.pyannote[252].start 778.28909375
transcript.pyannote[252].end 779.79096875
transcript.pyannote[253].speaker SPEAKER_00
transcript.pyannote[253].start 780.24659375
transcript.pyannote[253].end 781.81596875
transcript.pyannote[254].speaker SPEAKER_00
transcript.pyannote[254].start 782.11971875
transcript.pyannote[254].end 783.58784375
transcript.pyannote[255].speaker SPEAKER_00
transcript.pyannote[255].start 784.02659375
transcript.pyannote[255].end 784.78596875
transcript.pyannote[256].speaker SPEAKER_00
transcript.pyannote[256].start 785.08971875
transcript.pyannote[256].end 786.22034375
transcript.pyannote[257].speaker SPEAKER_00
transcript.pyannote[257].start 786.47346875
transcript.pyannote[257].end 787.62096875
transcript.pyannote[258].speaker SPEAKER_00
transcript.pyannote[258].start 788.24534375
transcript.pyannote[258].end 789.54471875
transcript.pyannote[259].speaker SPEAKER_00
transcript.pyannote[259].start 789.89909375
transcript.pyannote[259].end 791.09721875
transcript.pyannote[260].speaker SPEAKER_00
transcript.pyannote[260].start 791.60346875
transcript.pyannote[260].end 792.91971875
transcript.pyannote[261].speaker SPEAKER_00
transcript.pyannote[261].start 793.39221875
transcript.pyannote[261].end 795.46784375
transcript.pyannote[262].speaker SPEAKER_00
transcript.pyannote[262].start 795.65346875
transcript.pyannote[262].end 797.12159375
transcript.pyannote[263].speaker SPEAKER_00
transcript.pyannote[263].start 797.32409375
transcript.pyannote[263].end 798.40409375
transcript.pyannote[264].speaker SPEAKER_00
transcript.pyannote[264].start 799.01159375
transcript.pyannote[264].end 799.58534375
transcript.pyannote[265].speaker SPEAKER_00
transcript.pyannote[265].start 800.34471875
transcript.pyannote[265].end 802.09971875
transcript.pyannote[266].speaker SPEAKER_00
transcript.pyannote[266].start 802.52159375
transcript.pyannote[266].end 805.71096875
transcript.pyannote[267].speaker SPEAKER_00
transcript.pyannote[267].start 806.50409375
transcript.pyannote[267].end 807.70221875
transcript.pyannote[268].speaker SPEAKER_00
transcript.pyannote[268].start 808.47846875
transcript.pyannote[268].end 809.55846875
transcript.pyannote[269].speaker SPEAKER_00
transcript.pyannote[269].start 809.98034375
transcript.pyannote[269].end 811.46534375
transcript.pyannote[270].speaker SPEAKER_00
transcript.pyannote[270].start 812.20784375
transcript.pyannote[270].end 815.19471875
transcript.pyannote[271].speaker SPEAKER_00
transcript.pyannote[271].start 815.65034375
transcript.pyannote[271].end 816.88221875
transcript.pyannote[272].speaker SPEAKER_00
transcript.pyannote[272].start 817.16909375
transcript.pyannote[272].end 818.02971875
transcript.pyannote[273].speaker SPEAKER_00
transcript.pyannote[273].start 818.35034375
transcript.pyannote[273].end 820.05471875
transcript.pyannote[274].speaker SPEAKER_00
transcript.pyannote[274].start 820.61159375
transcript.pyannote[274].end 822.43409375
transcript.pyannote[275].speaker SPEAKER_00
transcript.pyannote[275].start 822.73784375
transcript.pyannote[275].end 826.88909375
transcript.pyannote[276].speaker SPEAKER_00
transcript.pyannote[276].start 827.22659375
transcript.pyannote[276].end 828.01971875
transcript.pyannote[277].speaker SPEAKER_00
transcript.pyannote[277].start 828.44159375
transcript.pyannote[277].end 830.65221875
transcript.pyannote[278].speaker SPEAKER_00
transcript.pyannote[278].start 831.17534375
transcript.pyannote[278].end 831.88409375
transcript.pyannote[279].speaker SPEAKER_00
transcript.pyannote[279].start 832.49159375
transcript.pyannote[279].end 833.43659375
transcript.pyannote[280].speaker SPEAKER_00
transcript.pyannote[280].start 833.75721875
transcript.pyannote[280].end 834.55034375
transcript.pyannote[281].speaker SPEAKER_00
transcript.pyannote[281].start 835.07346875
transcript.pyannote[281].end 836.38971875
transcript.pyannote[282].speaker SPEAKER_00
transcript.pyannote[282].start 836.92971875
transcript.pyannote[282].end 838.36409375
transcript.pyannote[283].speaker SPEAKER_00
transcript.pyannote[283].start 839.19096875
transcript.pyannote[283].end 839.73096875
transcript.pyannote[284].speaker SPEAKER_00
transcript.pyannote[284].start 840.81096875
transcript.pyannote[284].end 842.14409375
transcript.pyannote[285].speaker SPEAKER_00
transcript.pyannote[285].start 842.71784375
transcript.pyannote[285].end 843.49409375
transcript.pyannote[286].speaker SPEAKER_00
transcript.pyannote[286].start 844.13534375
transcript.pyannote[286].end 844.64159375
transcript.pyannote[287].speaker SPEAKER_00
transcript.pyannote[287].start 844.97909375
transcript.pyannote[287].end 845.73846875
transcript.pyannote[288].speaker SPEAKER_00
transcript.pyannote[288].start 846.31221875
transcript.pyannote[288].end 848.11784375
transcript.pyannote[289].speaker SPEAKER_00
transcript.pyannote[289].start 848.32034375
transcript.pyannote[289].end 849.80534375
transcript.pyannote[290].speaker SPEAKER_00
transcript.pyannote[290].start 850.36221875
transcript.pyannote[290].end 852.80909375
transcript.pyannote[291].speaker SPEAKER_00
transcript.pyannote[291].start 853.23096875
transcript.pyannote[291].end 853.82159375
transcript.pyannote[292].speaker SPEAKER_00
transcript.pyannote[292].start 854.74971875
transcript.pyannote[292].end 855.40784375
transcript.pyannote[293].speaker SPEAKER_00
transcript.pyannote[293].start 855.93096875
transcript.pyannote[293].end 861.60096875
transcript.pyannote[294].speaker SPEAKER_01
transcript.pyannote[294].start 858.46221875
transcript.pyannote[294].end 858.61409375
transcript.pyannote[295].speaker SPEAKER_00
transcript.pyannote[295].start 861.95534375
transcript.pyannote[295].end 866.15721875
transcript.pyannote[296].speaker SPEAKER_01
transcript.pyannote[296].start 865.76909375
transcript.pyannote[296].end 884.06159375
transcript.pyannote[297].speaker SPEAKER_00
transcript.pyannote[297].start 873.78471875
transcript.pyannote[297].end 874.47659375
transcript.pyannote[298].speaker SPEAKER_00
transcript.pyannote[298].start 883.20096875
transcript.pyannote[298].end 892.43159375
transcript.pyannote[299].speaker SPEAKER_01
transcript.pyannote[299].start 886.69409375
transcript.pyannote[299].end 887.11596875
transcript.pyannote[300].speaker SPEAKER_01
transcript.pyannote[300].start 891.38534375
transcript.pyannote[300].end 892.16159375
transcript.pyannote[301].speaker SPEAKER_01
transcript.pyannote[301].start 892.43159375
transcript.pyannote[301].end 892.73534375
transcript.pyannote[302].speaker SPEAKER_00
transcript.pyannote[302].start 892.71846875
transcript.pyannote[302].end 893.79846875
transcript.pyannote[303].speaker SPEAKER_01
transcript.pyannote[303].start 892.78596875
transcript.pyannote[303].end 893.56221875
transcript.whisperx[0].start 0.31
transcript.whisperx[0].end 4.807
transcript.whisperx[0].text 保定跟我們中選會的王處長好 麻煩部長跟處長
transcript.whisperx[1].start 10.748
transcript.whisperx[1].end 31.472
transcript.whisperx[1].text 部長、處長、校長今天本學生跟你們談到一個公職人員的罷免法重點的原因就是選舉的法律修訂以後的政策規定跟選務工作要合一下去給中選會處長你知道嗎
transcript.whisperx[2].start 38.817
transcript.whisperx[2].end 46.841
transcript.whisperx[2].text 海報委員,在條文裡面有看到,謝謝有看到?跟你認為,現在在修的時間,剛才你有回答整個立委,立委說沒問題啦齁,在這個過程本身要跟你說的是,我們是要提升選舉的獨立,屬權統一的立場的時候,那在內政部這邊
transcript.whisperx[3].start 65.831
transcript.whisperx[3].end 69.46
transcript.whisperx[3].text 基本上 內政部說 他們沒有反對嘛那在你們中選會 你認為怎麼樣 台立會答謝
transcript.whisperx[4].start 77.26
transcript.whisperx[4].end 105.656
transcript.whisperx[4].text 報導委員關於這個選政選務分立這個事情討論已久那目前在內政部的組織法裡面是管選政那中選會的組織法裡面是依照法律來執行選務所以這個選政選務之間其實兩部會跟選政選務之間的分工跟配合一項都非常良好所以我們才建議說維持現行的這個制度的規定來辦理這樣你的意思就是說維持不用再去修啊
transcript.whisperx[5].start 106.727
transcript.whisperx[5].end 108.408
transcript.whisperx[5].text 是不是這樣來回答一下是啦,但是在這個規定當中像我們的收工資罷免法裡面有總統、副總統的選罷免,同樣的規定是不是也同步
transcript.whisperx[6].start 125.717
transcript.whisperx[6].end 137.372
transcript.whisperx[6].text 下去修正是不是這樣來 請回答一下還是不用修 選總統 改選的選 改選的選舉是不是適用這兩個不一樣來 回答一下這個制度
transcript.whisperx[7].start 143.779
transcript.whisperx[7].end 160.362
transcript.whisperx[7].text 報告委員,依照選罷法的規定,那個選舉公告發布前,發布後就要適用新法所以說這個條文如果是在選罷法發布後,那選舉公告發布後才施行的我現在就是,你說你們的立場,你們的選法啦不要緊張啦,今天是大家做參考,可以讓這個法
transcript.whisperx[8].start 169.564
transcript.whisperx[8].end 183.457
transcript.whisperx[8].text 還好啦,因為我覺得選舉的時候,說實在,很神聖的,不能亂來,像我們說,整個都由中選會去做的時候,你覺得中選會有辦法去選擇嗎?像嘉義市就好了,嘉義市的中選會,
transcript.whisperx[9].start 194.246
transcript.whisperx[9].end 213.579
transcript.whisperx[9].text 那最大的那個什麼人你知不知道主委 主任委員跟什麼人下去擔任的你知不知道主任委員一般都是由地方政府的三長就是縣長 副縣長或秘書長對啊 所以說齁處長 我要跟你談到的就是說我們如果有合作的時候地方政府的秘書會更順暢跟你如果跟你們單一你們獨立的
transcript.whisperx[10].start 222.544
transcript.whisperx[10].end 237.716
transcript.whisperx[10].text 這個人數,你們要調配也好,台獨話也好,說我們將近六十八歲,可以在今年度,來算去將近四十幾萬人的時候,這也是需要調配餒,處長,這不是說我們中選委會說的,把我們給發動去承擔餒,你發動補充什麼沒有來,
transcript.whisperx[11].start 249.717
transcript.whisperx[11].end 273.409
transcript.whisperx[11].text 報告委員那所有選舉從總統到村里長其實選務跟選政都是一體適用的那所以說我們才剛剛的報告裡面才會說我們也是同意內政部的意見就是說這依照內政部的組織法裡面選政是內政部來辦理那選務的部分是中選會辦理那這個選政選務的分立跟他的合作跟配合
transcript.whisperx[12].start 273.829
transcript.whisperx[12].end 286.279
transcript.whisperx[12].text 那向來就合作的非常的良好所以我們才會建議說還是依照現行的制度規定來辦理因為我擔心的就是說未來如果都是你們去處理的時候你們的經費也有問題啦到你們目前為止你們有55個人在裡面的編制裡面
transcript.whisperx[13].start 294.625
transcript.whisperx[13].end 304.933
transcript.whisperx[13].text 但萬一說 這樣分析的時候 評估的時候這會動人 立法會他們的想法會如何 主席你回答一下報告主委齁 報告委員齁沒關係 大家來 我是立法會 我們國會立法會慢慢來沒關係那就是說 就是那個中選會齁那除了說 因為我們中選會跟地方選會都是所謂的骨幹型組織啦
transcript.whisperx[14].start 323.328
transcript.whisperx[14].end 344.795
transcript.whisperx[14].text 就是我們的員額都非常的精簡那除了說平時都有調用地方的人員當任長兼人員之外那選舉期間依法也會調用地方政府的人員來兼任選務那所以說在選務的負擔跟作業的辦理上有很大的部分是要仰賴地方政府的協助那所以這個選政選務分立的這種目前的狀況那我們還是建議說還是維持現行的規定
transcript.whisperx[15].start 351.517
transcript.whisperx[15].end 379.294
transcript.whisperx[15].text 才可以有效的跟地方政府來協力合作 以上這樣好 處長在這禮拜來 麻煩你如果說有會合意怎麼做 怎麼規定的時候拜託送一份來內政部 好不好 委員會不是啦 我是真白的就委了沒有 遵照委員的指示辦理 謝謝
transcript.whisperx[16].start 380.239
transcript.whisperx[16].end 396.596
transcript.whisperx[16].text 喔 我想說你也贏一個 再來 來 處長 壓制 來 我們的內政部部長喔在這個選舉裡面 我覺得很矛盾的啦 因為我覺得不管帶一黨都一樣啦
transcript.whisperx[17].start 401.821
transcript.whisperx[17].end 412.604
transcript.whisperx[17].text 因為剛才我們有看到總統的情形,因為大家要選舉的心都會寫他的資料,來去選舉委員會報名,看你是要參選市長、參選館長、參選代表,還是議員,主要你都寫的,在這幾天的改變就是,
transcript.whisperx[18].start 426.875
transcript.whisperx[18].end 443.445
transcript.whisperx[18].text 他的學歷,以前都有無窮的,所以我們規定說,在大學以上,一定要有他的比較正式,要不然在這個規定,我們最近的草草鬧鬧,白色也看不到什麼什麼
transcript.whisperx[19].start 445.954
transcript.whisperx[19].end 448.056
transcript.whisperx[19].text 會覺得說,他就說算了,跟武家兩黨換一邊,幾黨換一邊的當中說實在,這審核的機制
transcript.whisperx[20].start 459.025
transcript.whisperx[20].end 464.15
transcript.whisperx[20].text 報告委員審核學歷是嗎?審核學歷跟有雙重國籍嗎?那個是選務的部分,請中選會
transcript.whisperx[21].start 477.786
transcript.whisperx[21].end 489.239
transcript.whisperx[21].text 報告委員,那關於說候選人的學歷的部分,那主要是依照選罷法47條的規定啦,就是大學以上的學歷不是啦,我現在啦,你說這個我知道,現在的學歷就是這幾年來,你們都沒辦法去選了嘛,有的才到高校,他的資料寫大學的
transcript.whisperx[22].start 500.151
transcript.whisperx[22].end 520.671
transcript.whisperx[22].text 我建議你去說,大學的時候要有筆劃,只是日本不可以那樣,還可以認定它是大學筆劃,這我知道,我是說,再來我們的雙重國籍,不管你是哪一國的,包括大家有異性,
transcript.whisperx[23].start 523.271
transcript.whisperx[23].end 528.896
transcript.whisperx[23].text 加二次出動營就位,人家都叫他出公道啦
transcript.whisperx[24].start 531.07
transcript.whisperx[24].end 548.984
transcript.whisperx[24].text 他要開始做立法委員啦他雙重國籍他在美國的時候是終身的教授啦他為了愛台灣為了要台灣好呢為了他要信任他是中華民國台灣的立法委員他啦,他美國的國籍
transcript.whisperx[25].start 558.157
transcript.whisperx[25].end 561.339
transcript.whisperx[25].text 是對啦,他才會當作台灣中華民國的立法委員啦那就是雙重國籍啦現在我要說雙重國籍的時候
transcript.whisperx[26].start 571.847
transcript.whisperx[26].end 580.298
transcript.whisperx[26].text 報名安心讓他們自己寫這這樣才有誠意 才有努力我今天如果有跟我說你寫沒有 說實在的沒有你是要怎麼做啦你也沒有辦法查啦 你有辦法查嗎來 回答一下
transcript.whisperx[27].start 589.074
transcript.whisperx[27].end 607.61
transcript.whisperx[27].text 報告委員那目前的公職人選舉裡面除了總統副總選舉他的效益資格有規定不得有雙重國籍之外那立委到村里長以下他都並沒有有列雙重國籍為這個消極資格那如果說他就職之後是應該依照國籍法規定
transcript.whisperx[28].start 609.391
transcript.whisperx[28].end 620.674
transcript.whisperx[28].text 雙重國籍沒關係候選人登記的時候,他不是規定為消極資格?對啦,是依照國籍法20條的規定對啦,所以我要說喔,大家早早留留喔,要有時間喔,大家為了這個,在這裡爭執啦
transcript.whisperx[29].start 635.678
transcript.whisperx[29].end 643.541
transcript.whisperx[29].text 我認為你們的法律要去修好,你們若說我沒有雙重國籍,我覺得真的有我剛才說的,我覺得有,但你寫沒有,不然你要怎樣辦就是像剛才這樣,我覺得這時候你不要因為這樣
transcript.whisperx[30].start 659.242
transcript.whisperx[30].end 681.444
transcript.whisperx[30].text 這樣真的不好,我們應該去趕快找法律,看怎麼處理,不然內政委員會公裁也蠻辛苦的報告委員,有關國籍法20條的規定,那他是在就職的時候向他的任職機關提出是否有雙重國籍的這些切解,並不是由中選會來辦理,以上
transcript.whisperx[31].start 685.207
transcript.whisperx[31].end 696.497
transcript.whisperx[31].text 我說實在我今天實在沒什麼脾氣也很奇怪我是如果你們說去登記的時候登記的時候你們要審核的時候我們後面是不是有一個條例可以說要審的時候就來審就好不用這麼麻煩啦
transcript.whisperx[32].start 707.671
transcript.whisperx[32].end 712.793
transcript.whisperx[32].text 阿威沒資格,我們沒資格還可以做啦現在我說喔,如果這裡的時間浪費在這裡,真沒差啦我輸掉了,我再跟你說啦,來啦,去做啦來,主席拜託,跟兩分錢給我,我跟部長說一下
transcript.whisperx[33].start 725.777
transcript.whisperx[33].end 731.641
transcript.whisperx[33].text 不好意思,說得氣死我了在這裡說實在的,最近你看到不管是電視也好、手機也好、網路也好酒駕和獨駕這個過程當中,我也看你發表意見不過說實在的
transcript.whisperx[34].start 750.325
transcript.whisperx[34].end 759.592
transcript.whisperx[34].text 我在嘉義的黑服務衛生,我都騎著摩托車,有時在兩、三禮拜的進展,我看到獨家的人開車,在等紅燈前的摩托車給撞到
transcript.whisperx[35].start 766.837
transcript.whisperx[35].end 780.692
transcript.whisperx[35].text 但是在這個過程當中,我都常常想說,我們一個志向人,一個守規矩的人,去做這些工作,或是做這些工作,我認為那個法,法律上過程,所以說未來,包括補助率也好,司法也好,
transcript.whisperx[36].start 788.24
transcript.whisperx[36].end 797.911
transcript.whisperx[36].text 可以早日來拉這個法,稍微多一陣子,因為在這個過程當中,我也要來補充說,為什麼很多人說疫情大嗎?是怎麼我們的鹽吃毒的時候,沒有鹽大嗎?
transcript.whisperx[37].start 808.547
transcript.whisperx[37].end 829.939
transcript.whisperx[37].text 我所了解,是因為我們的營業時的費用,所以保證,我問問,這個費用不能省,一定要營業給退退,我們才有辦法改變中華民國台灣的制度、的環境,所以保證,我問問,我們這個
transcript.whisperx[38].start 832.56
transcript.whisperx[38].end 860.627
transcript.whisperx[38].text 酒醉也好,渡假也好,可以越來越久因為看現在的事情,可以這個家庭破碎所以我們不問我們的法,沒關係因為大家認為,跟這個天氣我們沒什麼要不然滴水這個家庭的時候,煙變很大所以普天我跟您在這邊,因為我不問,我們可以沒關係
transcript.whisperx[39].start 862.345
transcript.whisperx[39].end 883.171
transcript.whisperx[39].text 如果這個法,整個單位來看要怎麼樣是,感謝委員的提醒委員剛才講到保安,包括獨駕跟酒駕,我們希望可以提高刑責那有關獨駕的部分如果是累犯的話,希望朝著就是預備殺人啦那但是這個我們需要跟法務部還有司法院一起來配合,那我們會盡速來辦理
transcript.whisperx[40].start 884.571
transcript.whisperx[40].end 890.057
transcript.whisperx[40].text 因為我知道這幾天的單位了 是不過我們要趕緊 才有辦法去分支 再發生 再發生是 了解 以上 主席