iVOD / 158852

Field Value
IVOD_ID 158852
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/158852
日期 2025-01-13
會議資料.會議代碼 聯席會議-11-2-15,36-1
會議資料.會議代碼:str 第11屆第2會期內政、司法及法制委員會第1次聯席會議
會議資料.屆 11
會議資料.會期 2
會議資料.會次 1
會議資料.種類 聯席會議
會議資料.委員會代碼[0] 15
會議資料.委員會代碼[1] 36
會議資料.委員會代碼:str[0] 內政委員會
會議資料.委員會代碼:str[1] 司法及法制委員會
會議資料.標題 第11屆第2會期內政、司法及法制委員會第1次聯席會議
影片種類 Clip
開始時間 2025-01-13T12:51:53+08:00
結束時間 2025-01-13T13:02:48+08:00
影片長度 00:10:55
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/293c543958a38e475635ddf9878fde0229f121d6a4fe60dd20fa0258716fbc77bb574d15a1fc2d705ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鄭天財Sra Kacaw
委員發言時間 12:51:53 - 13:02:48
會議時間 2025-01-13T09:00:00+08:00
會議名稱 立法院第11屆第2會期內政、司法及法制委員會第1次聯席會議(事由:一、繼續審查委員賴士葆等20人擬具「地方制度法第七條之一條文修正草案」案。二、繼續審查委員陳玉珍等18人擬具「地方制度法增訂第七條之四條文草案」案。三、審查委員伍麗華Saidhai Tahovecahe等17人擬具「地方制度法第八十三條之三條文修正草案」案。四、審查委員伍麗華Saidhai Tahovecahe等16人擬具「地方制度法第五十二條及第六十一條條文修正草案」案。五、審查委員蘇清泉等27人擬具「地方制度法第三十三條條文修正草案」案。六、審查委員陳玉珍等18人擬具「地方制度法第五十六條條文修正草案」案。七、審查委員李坤城等20人擬具「地方制度法第七十八條條文修正草案」案。八、審查委員李彥秀等16人擬具「地方制度法第五十五條及第五十六條條文修正草案」案。九、審查委員高金素梅等18人擬具「地方制度法第八十三條之三條文修正草案」案。十、審查委員魯明哲等16人擬具「地方制度法第七條之一條文修正草案」案。十一、審查委員徐巧芯等21人擬具「地方制度法第五十五條條文修正草案」案。十二、審查委員盧縣一等18人擬具「地方制度法部分條文修正草案」案。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 11.94471875
transcript.pyannote[0].end 16.55159375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 16.83846875
transcript.pyannote[1].end 17.71596875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 16.88909375
transcript.pyannote[2].end 18.17159375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 18.23909375
transcript.pyannote[3].end 21.69846875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 23.67284375
transcript.pyannote[4].end 25.63034375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 26.50784375
transcript.pyannote[5].end 27.25034375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 27.75659375
transcript.pyannote[6].end 29.27534375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 29.66346875
transcript.pyannote[7].end 31.21596875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 31.68846875
transcript.pyannote[8].end 34.97909375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 35.94096875
transcript.pyannote[9].end 37.88159375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 38.33721875
transcript.pyannote[10].end 42.31971875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 43.68659375
transcript.pyannote[11].end 45.81284375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 46.28534375
transcript.pyannote[12].end 46.96034375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 48.37784375
transcript.pyannote[13].end 49.12034375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 49.89659375
transcript.pyannote[14].end 51.49971875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 52.63034375
transcript.pyannote[15].end 54.62159375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 54.97596875
transcript.pyannote[16].end 55.95471875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 56.79846875
transcript.pyannote[17].end 59.51534375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 60.74721875
transcript.pyannote[18].end 63.59909375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 64.25721875
transcript.pyannote[19].end 67.34534375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 66.94034375
transcript.pyannote[20].end 67.15971875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 67.58159375
transcript.pyannote[21].end 67.90221875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 67.90221875
transcript.pyannote[22].end 70.70346875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 71.58096875
transcript.pyannote[23].end 72.66096875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 73.36971875
transcript.pyannote[24].end 76.55909375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 79.12409375
transcript.pyannote[25].end 81.36846875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 82.02659375
transcript.pyannote[26].end 84.06846875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 85.33409375
transcript.pyannote[27].end 87.86534375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 88.86096875
transcript.pyannote[28].end 89.62034375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 90.68346875
transcript.pyannote[29].end 91.91534375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 92.26971875
transcript.pyannote[30].end 93.43409375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 94.29471875
transcript.pyannote[31].end 94.88534375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 96.03284375
transcript.pyannote[32].end 96.64034375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 97.19721875
transcript.pyannote[33].end 98.20971875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 98.34471875
transcript.pyannote[34].end 99.71159375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 100.09971875
transcript.pyannote[35].end 104.53784375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 104.87534375
transcript.pyannote[36].end 105.04409375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 105.46596875
transcript.pyannote[37].end 107.84534375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 108.41909375
transcript.pyannote[38].end 109.07721875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 110.14034375
transcript.pyannote[39].end 110.56221875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 111.70971875
transcript.pyannote[40].end 112.78971875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 113.04284375
transcript.pyannote[41].end 113.53221875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 114.74721875
transcript.pyannote[42].end 115.77659375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 116.19846875
transcript.pyannote[43].end 117.02534375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 117.59909375
transcript.pyannote[44].end 119.01659375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 120.01221875
transcript.pyannote[45].end 120.45096875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 121.27784375
transcript.pyannote[46].end 122.29034375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 123.53909375
transcript.pyannote[47].end 124.88909375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 125.76659375
transcript.pyannote[48].end 126.07034375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 126.76221875
transcript.pyannote[49].end 127.94346875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 129.00659375
transcript.pyannote[50].end 130.12034375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 130.98096875
transcript.pyannote[51].end 131.26784375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 132.90471875
transcript.pyannote[52].end 134.54159375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 135.18284375
transcript.pyannote[53].end 136.95471875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 138.01784375
transcript.pyannote[54].end 138.27096875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 139.16534375
transcript.pyannote[55].end 141.07221875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 141.56159375
transcript.pyannote[56].end 142.81034375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 144.16034375
transcript.pyannote[57].end 145.62846875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 145.86471875
transcript.pyannote[58].end 149.05409375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 150.23534375
transcript.pyannote[59].end 153.22221875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 153.99846875
transcript.pyannote[60].end 155.17971875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 155.80409375
transcript.pyannote[61].end 156.81659375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 158.20034375
transcript.pyannote[62].end 160.00596875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 160.39409375
transcript.pyannote[63].end 162.11534375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 164.08971875
transcript.pyannote[64].end 165.89534375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 166.85721875
transcript.pyannote[65].end 167.58284375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 169.06784375
transcript.pyannote[66].end 169.75971875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 170.62034375
transcript.pyannote[67].end 173.20221875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 173.91096875
transcript.pyannote[68].end 175.64909375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 177.35346875
transcript.pyannote[69].end 178.80471875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 179.27721875
transcript.pyannote[70].end 182.73659375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 184.57596875
transcript.pyannote[71].end 185.41971875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 185.53784375
transcript.pyannote[72].end 187.14096875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 188.11971875
transcript.pyannote[73].end 189.70596875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 190.70159375
transcript.pyannote[74].end 192.42284375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 193.14846875
transcript.pyannote[75].end 194.19471875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 195.47721875
transcript.pyannote[76].end 196.32096875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 196.64159375
transcript.pyannote[77].end 198.34596875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 199.47659375
transcript.pyannote[78].end 200.87721875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 202.95284375
transcript.pyannote[79].end 208.87596875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 209.33159375
transcript.pyannote[80].end 240.39846875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 238.71096875
transcript.pyannote[81].end 240.49971875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 240.76971875
transcript.pyannote[82].end 240.97221875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 240.97221875
transcript.pyannote[83].end 242.71034375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 243.13221875
transcript.pyannote[84].end 245.95034375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 246.49034375
transcript.pyannote[85].end 247.09784375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 247.18221875
transcript.pyannote[86].end 248.73471875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 249.78096875
transcript.pyannote[87].end 251.14784375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 251.99159375
transcript.pyannote[88].end 253.52721875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 255.46784375
transcript.pyannote[89].end 261.03659375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 262.94346875
transcript.pyannote[90].end 264.69846875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 265.00221875
transcript.pyannote[91].end 266.03159375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 266.63909375
transcript.pyannote[92].end 267.71909375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 269.15346875
transcript.pyannote[93].end 271.27971875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 272.79846875
transcript.pyannote[94].end 273.38909375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 273.70971875
transcript.pyannote[95].end 274.67159375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 276.54471875
transcript.pyannote[96].end 277.30409375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 278.43471875
transcript.pyannote[97].end 279.53159375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 280.03784375
transcript.pyannote[98].end 284.93159375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 280.07159375
transcript.pyannote[99].end 281.48909375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 284.96534375
transcript.pyannote[100].end 284.98221875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 285.26909375
transcript.pyannote[101].end 286.97346875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 286.97346875
transcript.pyannote[102].end 287.02409375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 287.02409375
transcript.pyannote[103].end 288.00284375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 287.31096875
transcript.pyannote[104].end 292.03596875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 292.03596875
transcript.pyannote[105].end 292.13721875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 292.13721875
transcript.pyannote[106].end 292.54221875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 292.54221875
transcript.pyannote[107].end 300.91221875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 294.29721875
transcript.pyannote[108].end 295.46159375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 296.79471875
transcript.pyannote[109].end 297.46971875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 297.75659375
transcript.pyannote[110].end 297.79034375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 298.70159375
transcript.pyannote[111].end 306.70034375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 307.56096875
transcript.pyannote[112].end 313.82159375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 313.85534375
transcript.pyannote[113].end 315.81284375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 314.34471875
transcript.pyannote[114].end 315.93096875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 316.55534375
transcript.pyannote[115].end 318.24284375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 317.75346875
transcript.pyannote[116].end 318.02346875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 318.79971875
transcript.pyannote[117].end 319.82909375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 320.82471875
transcript.pyannote[118].end 337.02471875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 324.14909375
transcript.pyannote[119].end 326.03909375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 327.10221875
transcript.pyannote[120].end 328.33409375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 328.80659375
transcript.pyannote[121].end 328.90784375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 337.34534375
transcript.pyannote[122].end 341.74971875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 342.76221875
transcript.pyannote[123].end 349.10721875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 343.11659375
transcript.pyannote[124].end 343.57221875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 347.01471875
transcript.pyannote[125].end 382.16534375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 356.56596875
transcript.pyannote[126].end 357.17346875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 382.33409375
transcript.pyannote[127].end 389.13471875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 387.73409375
transcript.pyannote[128].end 394.14659375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 389.32034375
transcript.pyannote[129].end 389.74221875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 390.28221875
transcript.pyannote[130].end 390.82221875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 391.58159375
transcript.pyannote[131].end 392.34096875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 393.08346875
transcript.pyannote[132].end 393.11721875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 395.58096875
transcript.pyannote[133].end 397.04909375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 397.97721875
transcript.pyannote[134].end 398.48346875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 400.84596875
transcript.pyannote[135].end 401.55471875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 402.24659375
transcript.pyannote[136].end 406.00971875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 406.85346875
transcript.pyannote[137].end 408.18659375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 408.37221875
transcript.pyannote[138].end 409.16534375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 409.95846875
transcript.pyannote[139].end 410.53221875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 411.03846875
transcript.pyannote[140].end 411.83159375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 412.37159375
transcript.pyannote[141].end 414.70034375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 415.66221875
transcript.pyannote[142].end 417.85596875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 419.07096875
transcript.pyannote[143].end 420.48846875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 421.55159375
transcript.pyannote[144].end 421.82159375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 422.26034375
transcript.pyannote[145].end 423.98159375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 424.45409375
transcript.pyannote[146].end 426.59721875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 426.88409375
transcript.pyannote[147].end 427.84596875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 428.67284375
transcript.pyannote[148].end 429.61784375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 430.57971875
transcript.pyannote[149].end 433.02659375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 433.60034375
transcript.pyannote[150].end 436.40159375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 437.44784375
transcript.pyannote[151].end 441.19409375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 441.75096875
transcript.pyannote[152].end 443.03346875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 443.37096875
transcript.pyannote[153].end 444.73784375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 445.73346875
transcript.pyannote[154].end 449.36159375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 449.59784375
transcript.pyannote[155].end 450.13784375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 451.11659375
transcript.pyannote[156].end 451.55534375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 452.92221875
transcript.pyannote[157].end 453.96846875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 454.44096875
transcript.pyannote[158].end 456.39846875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 457.39409375
transcript.pyannote[159].end 457.96784375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 458.54159375
transcript.pyannote[160].end 459.85784375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 461.34284375
transcript.pyannote[161].end 462.11909375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 462.59159375
transcript.pyannote[162].end 464.21159375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 464.48159375
transcript.pyannote[163].end 469.66221875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 470.18534375
transcript.pyannote[164].end 471.28221875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 472.29471875
transcript.pyannote[165].end 473.35784375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 473.91471875
transcript.pyannote[166].end 476.20971875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 476.74971875
transcript.pyannote[167].end 479.36534375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 479.98971875
transcript.pyannote[168].end 481.47471875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 481.79534375
transcript.pyannote[169].end 482.97659375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 483.73596875
transcript.pyannote[170].end 486.14909375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 486.31784375
transcript.pyannote[171].end 488.27534375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 489.28784375
transcript.pyannote[172].end 492.13971875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 492.49409375
transcript.pyannote[173].end 494.48534375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 495.43034375
transcript.pyannote[174].end 496.13909375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 497.25284375
transcript.pyannote[175].end 499.19346875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 500.17221875
transcript.pyannote[176].end 500.67846875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 501.20159375
transcript.pyannote[177].end 505.03221875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 505.80846875
transcript.pyannote[178].end 507.00659375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 507.88409375
transcript.pyannote[179].end 508.17096875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 508.82909375
transcript.pyannote[180].end 510.14534375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 510.70221875
transcript.pyannote[181].end 512.44034375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 514.06034375
transcript.pyannote[182].end 514.51596875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 515.78159375
transcript.pyannote[183].end 516.37221875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 516.69284375
transcript.pyannote[184].end 518.51534375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 519.02159375
transcript.pyannote[185].end 520.03409375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 520.42221875
transcript.pyannote[186].end 523.39221875
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 523.56096875
transcript.pyannote[187].end 524.59034375
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 525.23159375
transcript.pyannote[188].end 526.64909375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 527.15534375
transcript.pyannote[189].end 530.12534375
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 530.32784375
transcript.pyannote[190].end 535.39034375
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 536.67284375
transcript.pyannote[191].end 537.80346875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 538.41096875
transcript.pyannote[192].end 539.59221875
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 538.83284375
transcript.pyannote[193].end 538.96784375
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 540.16596875
transcript.pyannote[194].end 541.93784375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 543.05159375
transcript.pyannote[195].end 544.18221875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 544.89096875
transcript.pyannote[196].end 547.05096875
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 548.14784375
transcript.pyannote[197].end 550.89846875
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 552.26534375
transcript.pyannote[198].end 553.36221875
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 554.66159375
transcript.pyannote[199].end 555.35346875
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 555.97784375
transcript.pyannote[200].end 557.34471875
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 558.89721875
transcript.pyannote[201].end 559.79159375
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 560.09534375
transcript.pyannote[202].end 561.02346875
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 561.46221875
transcript.pyannote[203].end 562.72784375
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 563.57159375
transcript.pyannote[204].end 565.29284375
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 565.93409375
transcript.pyannote[205].end 569.15721875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 570.94596875
transcript.pyannote[206].end 574.99596875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 575.89034375
transcript.pyannote[207].end 576.76784375
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 577.27409375
transcript.pyannote[208].end 578.62409375
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 579.18096875
transcript.pyannote[209].end 581.84721875
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 583.12971875
transcript.pyannote[210].end 583.92284375
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 585.45846875
transcript.pyannote[211].end 587.29784375
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 588.09096875
transcript.pyannote[212].end 590.21721875
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 591.51659375
transcript.pyannote[213].end 592.51221875
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 592.64721875
transcript.pyannote[214].end 594.16596875
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 595.07721875
transcript.pyannote[215].end 597.76034375
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 599.83596875
transcript.pyannote[216].end 603.17721875
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 603.75096875
transcript.pyannote[217].end 605.72534375
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 607.85159375
transcript.pyannote[218].end 608.35784375
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 609.72471875
transcript.pyannote[219].end 610.31534375
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 610.66971875
transcript.pyannote[220].end 612.07034375
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 612.84659375
transcript.pyannote[221].end 614.29784375
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 614.53409375
transcript.pyannote[222].end 615.95159375
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 616.45784375
transcript.pyannote[223].end 621.31784375
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 621.97596875
transcript.pyannote[224].end 624.92909375
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 627.20721875
transcript.pyannote[225].end 628.87784375
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 630.16034375
transcript.pyannote[226].end 632.42159375
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 634.00784375
transcript.pyannote[227].end 635.71221875
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 637.26471875
transcript.pyannote[228].end 639.52596875
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 640.48784375
transcript.pyannote[229].end 642.46221875
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 643.03596875
transcript.pyannote[230].end 644.25096875
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 645.16221875
transcript.pyannote[231].end 649.16159375
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 649.56659375
transcript.pyannote[232].end 652.87409375
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 651.00096875
transcript.pyannote[233].end 651.47346875
transcript.whisperx[0].start 12.174
transcript.whisperx[0].end 34.136
transcript.whisperx[0].text 主席有請部長還有阮次長還有中副主委請劉部長 阮次長以及中副主委三位好 辛苦了這個高金素美委員還有盧憲一委員會同本席都有共同提案這個
transcript.whisperx[1].start 36.347
transcript.whisperx[1].end 63.44
transcript.whisperx[1].text 地方制度法針對山地原住民期財政自治的事項我先請教一下這個次長上一次為了因應五都為了因應成立五都五個直轄市所以修了這個地方制度法當時有沒有修財政收支發文法
transcript.whisperx[2].start 64.695
transcript.whisperx[2].end 93.18
transcript.whisperx[2].text 當時沒有啊沒有修對不對那現在要修地方制度法你們一直強調還有財政收支發放法還有公共債務法我們現在山地原住民7他本來是山地鄉有原住民自治的地位只不過當時修的時候
transcript.whisperx[3].start 94.429
transcript.whisperx[3].end 122.141
transcript.whisperx[3].text 落了沒有把原住民把山地鄉烏來等到屏東的三個還有還有那個復興區和平區這幾個修的時候落了所以沒有他本來是他本來是地方自治對不對修的時候落了
transcript.whisperx[4].start 123.581
transcript.whisperx[4].end 148.858
transcript.whisperx[4].text 然後這幾年修把它的自治 列為自治區了有了代表會對不對 區長也用選舉了在這麼多年的當中從上次修把山地鄉把它改為區 山地原住民區之後
transcript.whisperx[5].start 150.267
transcript.whisperx[5].end 175.417
transcript.whisperx[5].text 然後上次也把這個山地原住民區七長選舉代表會要有改了之後你們應該就要去配合去修正對不對無論是嚴明會財政部內政部就應該配合本來應該要做的事情是變成立法委員去做
transcript.whisperx[6].start 177.406
transcript.whisperx[6].end 182.648
transcript.whisperx[6].text 做了然後你們又說還要修財產收入方法還要修公債務法怎麼會呢我們是回到原來的回到原來的怎麼還要去跟鄉鎮公所去協調協調什麼我們是回到原來的地方還要經過他們的同意
transcript.whisperx[7].start 202.967
transcript.whisperx[7].end 224.811
transcript.whisperx[7].text 我跟委員報告現在目前的就是園民區的財政的問題現在是整個都是根據目前的規定是跟這個整個直轄市是混在一起的是混在一起的現在要把它現在委員的提案建議都希望把它拆開來另外單獨要準用
transcript.whisperx[8].start 225.875
transcript.whisperx[8].end 253.406
transcript.whisperx[8].text 這個相關的比如說像鄉鎮市的相關規定那這樣子一定會牽涉到各地方政府的他的舉債的額度還有就是他的債務的還有他的財政的那個相關問題啦市長原來這幾個區烏來、復興區、和平區包括高雄的三個區它原來是在依原來地方制度法
transcript.whisperx[9].start 255.486
transcript.whisperx[9].end 284.649
transcript.whisperx[9].text 它是包含在地方制度法裡面的相關的這些財政事項 自治事項當初把它抽出來之後他們增加了所有的鄉鎮市它增加了不是嗎現在再把它弄回去回到原來的基礎回到原來的基礎怎麼還要經過他們的同意呢
transcript.whisperx[10].start 287.563
transcript.whisperx[10].end 306.471
transcript.whisperx[10].text 當初他們增加的時候有沒有說我給你增加要不要同意沒有啊這個是涉及到修法的問題啦我們不會反對當初要修地方制度法的時候你們也沒有說財政部也沒有說財政部說地方法要一併修沒有啊
transcript.whisperx[11].start 309.689
transcript.whisperx[11].end 315.47
transcript.whisperx[11].text 這個我是覺得是這樣像這種問題的話就是因為現在目前這個時間的關係這個我只是把原來的我們是回到原來而已所以不管你不要太堅持你寫了就寫了但是你不要下午討論的時候你不要堅持說
transcript.whisperx[12].start 334.195
transcript.whisperx[12].end 341.612
transcript.whisperx[12].text 一定要去修才能說花園法公災法或者是你一定要經過其他鄉鎮市的同意
transcript.whisperx[13].start 343.213
transcript.whisperx[13].end 364.6
transcript.whisperx[13].text 我請你不要再堅持這個我們不會堅持我們是依法行政如果要這樣做我其實我剛剛講其實不是反對但是法制要完備啦這些可以充分討論我覺得說財政部立場就是說這個是可以充分討論大家有共識以後就去做
transcript.whisperx[14].start 366.221
transcript.whisperx[14].end 388.53
transcript.whisperx[14].text 那剛才我也特別提到就是說財化法修正以後其實地方政府的相關的這個收支也好或者是支援的分配也好其實這一部分其實都已經這個我想在修正的時候要併同來考慮了那我是覺得像這種地方就是原民區的財政問題我都聽了我剛才都有聽你的答詢那個部長
transcript.whisperx[15].start 396.146
transcript.whisperx[15].end 419.576
transcript.whisperx[15].text 電政部部長劉部長這個地方制度法我們剛剛講了我就不重複講了我就講另外一個議題因為台灣尤其是今年2025年少子女化會更嚴重而我們的業務
transcript.whisperx[16].start 422.342
transcript.whisperx[16].end 449.722
transcript.whisperx[16].text 地方政府的業務確實不斷的增加這是事實所以我們很多的過去的人口數的規定確實有需要去檢討的地方就誠如我們上次修地方制度法33條那時候是修原住民的條文但是屏東的鄉親 屏東的議員 宗家兵 委員
transcript.whisperx[17].start 452.979
transcript.whisperx[17].end 478.4
transcript.whisperx[17].text 說因為那個門檻本來是八十萬人以下一年八十萬人以下我們後來把它他沒有提修正條文我們主動在草野協商的時候修下修改為七十萬改為七十萬不是只有針對台北市我們要針對目前確實是
transcript.whisperx[18].start 480.051
transcript.whisperx[18].end 507.968
transcript.whisperx[18].text 未來高雄市也會啊台南市也會啊因為我們的人口數如果我們從地方制度法在設定副市長多少人的時候到現在那個人口數的下降那個比例一併的去考量何況何況很多的立委都提到就像我的我父親在花蓮啊但是我幾乎啊
transcript.whisperx[19].start 508.888
transcript.whisperx[19].end 537.036
transcript.whisperx[19].text 我們會期很長啊我幾乎都住在台北市啊對不對所以很多的流動的人口工作的人口所以都必須去考量而不是為了什麼為了誰所以這個部分是要一併的去因應所以這個部分就是我請那個部長跟那個次長請回座那個中副主委最後的時間
transcript.whisperx[20].start 539.064
transcript.whisperx[20].end 565.082
transcript.whisperx[20].text 總副主委今天看了你的報告全部都尊重主管機關尊重主管機關這個我們作為原住民組委員會要去主動協調相關的部會過去我在當延民會無論是當處長或者是當副主委的時候
transcript.whisperx[21].start 565.99
transcript.whisperx[21].end 593.938
transcript.whisperx[21].text 主動去協調相關的部會就像原住民保留地的主管機關本來是內政部啊去協調我去協調了三次去拜訪了三次林中生次長後來他同意那我們直轄市的議員本來就沒有分三三平三當初要改為五都的時候
transcript.whisperx[22].start 595.117
transcript.whisperx[22].end 624.337
transcript.whisperx[22].text 沒有改成三眼平眼的話會減少啊高雄市的一眼會減少台中市的一眼也會減少所以配合修正反正憲法憲法徵修條文還有三眼平眼所以我們的參政權還是改為三眼平眼所以直轄市那時候我也是我去協調我那時候是紀監哦
transcript.whisperx[23].start 627.213
transcript.whisperx[23].end 650.785
transcript.whisperx[23].text 我被降調為紀監之後我拜託當時的諸位我去協調那時候林宗森次長同意把直轄市的議員改為三眼平眼才有保障我們的參政權所以我們要去主動主動去說服內政部主動說服財政部好不好是謝謝委內指教謝謝