iVOD / 160403

Field Value
IVOD_ID 160403
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160403
日期 2025-04-21
會議資料.會議代碼 委員會-11-3-15-12
會議資料.會議代碼:str 第11屆第3會期內政委員會第12次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 12
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3會期內政委員會第12次全體委員會議
影片種類 Clip
開始時間 2025-04-21T09:40:07+08:00
結束時間 2025-04-21T09:50:47+08:00
影片長度 00:10:40
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/16e1d9e54b37d4c84306a5db65353208de1cdb79e21bd2990fed3d90e8b9dd2eb2b7e68c96004cff5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王美惠
委員發言時間 09:40:07 - 09:50:47
會議時間 2025-04-21T09:00:00+08:00
會議名稱 立法院第11屆第3會期內政委員會第12次全體委員會議(事由:一、審查委員牛煦庭等17人擬具「行政區劃法草案」案。二、審查委員邱鎮軍等18人擬具「行政區劃法草案」案。【僅詢答及宣讀提案條文】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 4.40159375
transcript.pyannote[0].end 5.71784375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 5.88659375
transcript.pyannote[1].end 6.20721875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 6.59534375
transcript.pyannote[2].end 7.00034375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 7.05096875
transcript.pyannote[3].end 7.48971875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 8.26596875
transcript.pyannote[4].end 11.11784375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 11.43846875
transcript.pyannote[5].end 12.70409375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 13.31159375
transcript.pyannote[6].end 20.19659375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 20.56784375
transcript.pyannote[7].end 21.34409375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 21.86721875
transcript.pyannote[8].end 23.52096875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 23.70659375
transcript.pyannote[9].end 24.60096875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 25.19159375
transcript.pyannote[10].end 28.73534375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 29.47784375
transcript.pyannote[11].end 30.92909375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 31.46909375
transcript.pyannote[12].end 33.62909375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 34.10159375
transcript.pyannote[13].end 37.83096875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 38.18534375
transcript.pyannote[14].end 40.14284375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 40.56471875
transcript.pyannote[15].end 43.58534375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 44.05784375
transcript.pyannote[16].end 46.82534375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 47.53409375
transcript.pyannote[17].end 51.71909375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 52.27596875
transcript.pyannote[18].end 52.56284375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 53.13659375
transcript.pyannote[19].end 55.31346875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 55.93784375
transcript.pyannote[20].end 58.19909375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 58.90784375
transcript.pyannote[21].end 61.47284375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 62.01284375
transcript.pyannote[22].end 64.40909375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 64.66221875
transcript.pyannote[23].end 65.53971875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 66.24846875
transcript.pyannote[24].end 67.59846875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 68.17221875
transcript.pyannote[25].end 69.99471875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 70.92284375
transcript.pyannote[26].end 71.56409375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 72.47534375
transcript.pyannote[27].end 73.21784375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 73.80846875
transcript.pyannote[28].end 75.12471875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 75.69846875
transcript.pyannote[29].end 77.52096875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 78.12846875
transcript.pyannote[30].end 79.15784375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 79.64721875
transcript.pyannote[31].end 82.85346875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 83.19096875
transcript.pyannote[32].end 86.19471875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 86.71784375
transcript.pyannote[33].end 88.62471875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 88.94534375
transcript.pyannote[34].end 91.98284375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 92.43846875
transcript.pyannote[35].end 94.78409375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 95.20596875
transcript.pyannote[36].end 97.24784375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 97.53471875
transcript.pyannote[37].end 98.71596875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 98.96909375
transcript.pyannote[38].end 100.40346875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 100.67346875
transcript.pyannote[39].end 102.96846875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 102.96846875
transcript.pyannote[40].end 110.17409375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 110.39346875
transcript.pyannote[41].end 138.50721875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 138.79409375
transcript.pyannote[42].end 142.52346875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 142.77659375
transcript.pyannote[43].end 151.48409375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 151.65284375
transcript.pyannote[44].end 179.93534375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 179.88471875
transcript.pyannote[45].end 180.37409375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 180.12096875
transcript.pyannote[46].end 209.75346875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 210.12471875
transcript.pyannote[47].end 212.03159375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 212.03159375
transcript.pyannote[48].end 212.87534375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 213.48284375
transcript.pyannote[49].end 219.03471875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 219.15284375
transcript.pyannote[50].end 221.48159375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 222.52784375
transcript.pyannote[51].end 223.28721875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 224.46846875
transcript.pyannote[52].end 227.43846875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 227.92784375
transcript.pyannote[53].end 231.40409375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 231.92721875
transcript.pyannote[54].end 234.62721875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 235.01534375
transcript.pyannote[55].end 238.01909375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 238.71096875
transcript.pyannote[56].end 240.51659375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 240.83721875
transcript.pyannote[57].end 241.63034375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 241.84971875
transcript.pyannote[58].end 245.32596875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 245.51159375
transcript.pyannote[59].end 247.51971875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 247.62096875
transcript.pyannote[60].end 249.59534375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 249.79784375
transcript.pyannote[61].end 250.65846875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 251.09721875
transcript.pyannote[62].end 252.10971875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 252.31221875
transcript.pyannote[63].end 262.30221875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 262.50471875
transcript.pyannote[64].end 264.20909375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 264.47909375
transcript.pyannote[65].end 264.86721875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 265.17096875
transcript.pyannote[66].end 267.83721875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 268.14096875
transcript.pyannote[67].end 269.71034375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 270.14909375
transcript.pyannote[68].end 271.80284375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 272.51159375
transcript.pyannote[69].end 277.21971875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 277.60784375
transcript.pyannote[70].end 279.97034375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 280.49346875
transcript.pyannote[71].end 283.41284375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 283.80096875
transcript.pyannote[72].end 285.72471875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 286.12971875
transcript.pyannote[73].end 287.86784375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 288.30659375
transcript.pyannote[74].end 290.19659375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 290.51721875
transcript.pyannote[75].end 292.37346875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 292.69409375
transcript.pyannote[76].end 296.17034375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 296.42346875
transcript.pyannote[77].end 297.62159375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 297.84096875
transcript.pyannote[78].end 299.03909375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 299.34284375
transcript.pyannote[79].end 308.35409375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 309.60284375
transcript.pyannote[80].end 313.34909375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 313.78784375
transcript.pyannote[81].end 317.28096875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 317.78721875
transcript.pyannote[82].end 319.18784375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 319.50846875
transcript.pyannote[83].end 320.89221875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 321.51659375
transcript.pyannote[84].end 323.22096875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 323.67659375
transcript.pyannote[85].end 326.29221875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 326.86596875
transcript.pyannote[86].end 330.46034375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 331.05096875
transcript.pyannote[87].end 332.65409375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 333.10971875
transcript.pyannote[88].end 335.80971875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 336.18096875
transcript.pyannote[89].end 337.76721875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 338.17221875
transcript.pyannote[90].end 340.65284375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 340.75409375
transcript.pyannote[91].end 343.09971875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 343.65659375
transcript.pyannote[92].end 344.92221875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 345.51284375
transcript.pyannote[93].end 348.02721875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 348.33096875
transcript.pyannote[94].end 349.64721875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 350.28846875
transcript.pyannote[95].end 353.93346875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 355.53659375
transcript.pyannote[96].end 355.89096875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 356.93721875
transcript.pyannote[97].end 358.20284375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 358.57409375
transcript.pyannote[98].end 359.31659375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 359.62034375
transcript.pyannote[99].end 365.00346875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 365.20596875
transcript.pyannote[100].end 366.65721875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 367.21409375
transcript.pyannote[101].end 370.82534375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 371.23034375
transcript.pyannote[102].end 373.86284375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 374.08221875
transcript.pyannote[103].end 377.94659375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 378.11534375
transcript.pyannote[104].end 379.00971875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 380.08971875
transcript.pyannote[105].end 389.40471875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 390.01221875
transcript.pyannote[106].end 395.29409375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 395.44596875
transcript.pyannote[107].end 401.23409375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 397.45409375
transcript.pyannote[108].end 397.82534375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 400.54221875
transcript.pyannote[109].end 400.59284375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 400.74471875
transcript.pyannote[110].end 400.76159375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 401.35221875
transcript.pyannote[111].end 403.00596875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 403.24221875
transcript.pyannote[112].end 403.68096875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 403.91721875
transcript.pyannote[113].end 407.64659375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 407.98409375
transcript.pyannote[114].end 414.02534375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 412.27034375
transcript.pyannote[115].end 412.45596875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 414.09284375
transcript.pyannote[116].end 417.51846875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 417.55221875
transcript.pyannote[117].end 421.70346875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 421.88909375
transcript.pyannote[118].end 449.81721875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 425.46659375
transcript.pyannote[119].end 425.97284375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 438.83159375
transcript.pyannote[120].end 438.86534375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 444.72096875
transcript.pyannote[121].end 445.12596875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 450.20534375
transcript.pyannote[122].end 472.39596875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 472.54784375
transcript.pyannote[123].end 522.64971875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 477.59346875
transcript.pyannote[124].end 477.71159375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 519.15659375
transcript.pyannote[125].end 521.24909375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 522.91971875
transcript.pyannote[126].end 525.51846875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 525.21471875
transcript.pyannote[127].end 525.68721875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 525.97409375
transcript.pyannote[128].end 543.43971875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 530.93534375
transcript.pyannote[129].end 531.50909375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 543.57471875
transcript.pyannote[130].end 561.98534375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 562.01909375
transcript.pyannote[131].end 571.55346875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 571.55346875
transcript.pyannote[132].end 571.57034375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 571.99221875
transcript.pyannote[133].end 572.19471875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 572.19471875
transcript.pyannote[134].end 572.31284375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 572.31284375
transcript.pyannote[135].end 572.51534375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 572.51534375
transcript.pyannote[136].end 572.53221875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 573.15659375
transcript.pyannote[137].end 573.17346875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 573.17346875
transcript.pyannote[138].end 577.57784375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 577.89846875
transcript.pyannote[139].end 583.66971875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 583.77096875
transcript.pyannote[140].end 585.01971875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 585.15471875
transcript.pyannote[141].end 592.73159375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 592.91721875
transcript.pyannote[142].end 603.46409375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 603.81846875
transcript.pyannote[143].end 605.48909375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 605.57346875
transcript.pyannote[144].end 609.77534375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 610.26471875
transcript.pyannote[145].end 613.43721875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 613.85909375
transcript.pyannote[146].end 622.09409375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 622.36409375
transcript.pyannote[147].end 624.77721875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 625.23284375
transcript.pyannote[148].end 635.61096875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 635.67846875
transcript.pyannote[149].end 637.24784375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 637.50096875
transcript.pyannote[150].end 638.46284375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 640.28534375
transcript.pyannote[151].end 640.55534375
transcript.whisperx[0].start 4.6
transcript.whisperx[0].end 10.085
transcript.whisperx[0].text 這是我們這裡的補償 補償在這裡喔 在上禮拜 妳好 在上禮拜我們知道說 貴重的責任 去一個不應該自治的地方又有地方收到 去高興 但是我認為說補償做得很好
transcript.whisperx[1].start 29.503
transcript.whisperx[1].end 32.506
transcript.whisperx[1].text 你剛才說全部都是寒鬆的,不然在那裡擁護你,在那裡玩多久我覺得對你會越大,會越來越多因為我覺得一個地方,你要集會遊行或要做什麼,應該都要去申請
transcript.whisperx[2].start 53.388
transcript.whisperx[2].end 62.618
transcript.whisperx[2].text 國家有國家的法規啦 我覺得最近這半天來 我覺得大家想不去帶就不去帶像地檢署看了一輩子 還來 還派你們大小所以普天 我覺得說 你的
transcript.whisperx[3].start 72.529
transcript.whisperx[3].end 77.09
transcript.whisperx[3].text 做法我認為非常好,可以讓你更加健康所以在定禮拜拜時的時候,你的做法,我認為利用全部寒鬆的不過我的感覺是,你對於定禮拜時這樣做
transcript.whisperx[4].start 92.415
transcript.whisperx[4].end 96.799
transcript.whisperx[4].text 但是在這半年來 也有這樣的綜合 你是如何沒有看出這個全部來寒鬆來 補充你會的事情感謝委員的指導 我相信站在內政部的立場 就是支持我們的經濟事務他們針對這個一契遊行法裡面 會相關規定來辦理
transcript.whisperx[5].start 115.658
transcript.whisperx[5].end 120.761
transcript.whisperx[5].text 所以我今天也有針對這個部分就是說我們經濟署的經濟動力尤其在處理這種聚眾的部分他們要有那個修正有確實然後把所有的證據都收集齊全之後應該函送的或者應該傳喚的就按照集會遊行法的相關規定來辦理但是呢因為我站在一個這個就是
transcript.whisperx[6].start 142.851
transcript.whisperx[6].end 148.076
transcript.whisperx[6].text 督導那個警政的立場上面呢我就不針對個案來繼續發言因為他現在已經進入偵查的程序所以我覺得這樣子會比較好那過去好幾年當中呢我們在有關集會遊行的部分呢都有特別討論到禁制區
transcript.whisperx[7].start 158.924
transcript.whisperx[7].end 179.46
transcript.whisperx[7].text 這個禁制區除了說譬如說是我們的這個中央政府所在地的要塞之外那還有軍事要塞那同時呢我們希望增加的像包括像這個這個法院或者是這個醫院因為醫院有很多這種聚眾滋擾的事件我們認為的不適合因為醫院是一個看病的地方不是來吵架的地方
transcript.whisperx[8].start 180.2
transcript.whisperx[8].end 209.179
transcript.whisperx[8].text 那希望在禁制區裡面大家都能夠遵守那這個有遵守的話大家有這個遵守的規範的話呢那警方是站在雙方能夠平和來處理有關任何的爭議事件呢這是我們的初衷而不是為了要傳喚某人或是為了要做這個政治性上面的一個宣示我想這個都不是集會遊行法希望大家能夠本於原來的初衷把自己要表達的立場講得非常清楚之後但是就是要遵守集會遊行的規則
transcript.whisperx[9].start 210.18
transcript.whisperx[9].end 215.926
transcript.whisperx[9].text 因為保證在這裏 我覺得很好笑啦 一個收到沒去收這個款 又揮揮三尺沒這樣 給北省看出他的做法 我覺得他的年紀 實在很差勁
transcript.whisperx[10].start 231.983
transcript.whisperx[10].end 236.147
transcript.whisperx[10].text 所以在國家有國家的法律所以一定要有法律的人要讓他知道有法律的問題所以在這個規定當中我也覺得補充這個處理方法我覺得可以更多
transcript.whisperx[11].start 251.175
transcript.whisperx[11].end 256.619
transcript.whisperx[11].text 會比較好 不會對你說話會越來越嚴重 我覺得一個社會一直對你如果我們不講道理 互翻互補的時候 這個國家會害來 普通 剛才你說到 我們的行政化分化 你們一定
transcript.whisperx[12].start 272.557
transcript.whisperx[12].end 276.179
transcript.whisperx[12].text 日本的經濟嘛,在過去以來有八十一年到現在,尤其我們的大中共,也希望可以有這個做法,但是裡面的做法,有人提案
transcript.whisperx[13].start 288.365
transcript.whisperx[13].end 291.066
transcript.whisperx[13].text 裡面有稍微不講,稍微不講的時候,也要問補充,以我自己來講,我自己,我也不問我的資源,我的零考數,我的生活圈,我自己,如果說,我們一張臉
transcript.whisperx[14].start 309.636
transcript.whisperx[14].end 316.341
transcript.whisperx[14].text 追尋是不是可以未來加二次民用是不是可以未來加二次我也愿意這樣因為加二次在幾十年前跟新疆爬爬升級要不然我們中央的政府跟我們說你升級要不然在這裡你看不是跟法輪功升級就好了
transcript.whisperx[15].start 336.255
transcript.whisperx[15].end 340.078
transcript.whisperx[15].text 是長久以來 要怎麼阻止他 你看他年紀和身體又有差喔再來這個過程中 你的行政會看文化 也會牽涉到
transcript.whisperx[16].start 356.937
transcript.whisperx[16].end 364.3
transcript.whisperx[16].text 財政手法,這是都一樣在這裡的做法本身是要跟你說,這是非常大件事,不是說啊,青菜蓋蓋就好了每一項都要去了解去做,尤其是你認為本身說這樣
transcript.whisperx[17].start 380.514
transcript.whisperx[17].end 394.819
transcript.whisperx[17].text 如果問政府的時候,他不要說道啦,我自己買那些零銷售,可以主管那些,跟財政可以再分那些的時候,是不是可以來補充,你回答一下感謝委員的關心,委員本來就是自己非常認真發表的民意代表我也要向委員報告,行政區劃法,我們是希望可以可長可久啦
transcript.whisperx[18].start 408.965
transcript.whisperx[18].end 413.187
transcript.whisperx[18].text 不是因為今天這個地方有一個栗多,我每天都擠一擠在那裡,有栗差的話,大家都趕快遠離所以為什麼會碰到這個困難,就是說大家都想要好的,肥肉的部分,骨頭的部分,肌肉的部分就丟給別人
transcript.whisperx[19].start 428.257
transcript.whisperx[19].end 445.952
transcript.whisperx[19].text 但是呢 又希望好的部分留下來 譬如說我剛剛有提到我們不管是地方制度 或者是行政區的話在處理縣市合併的時候 大家都希望好的合併那上一次有人在提到 譬如說這個某一個縣市就是有很多科學園區的地方 要不要合併這最重要 現在科學園區的地方 大家都不會走出來
transcript.whisperx[20].start 450.776
transcript.whisperx[20].end 471.262
transcript.whisperx[20].text 對 但是這個部分跟行政區化的這個規劃比較沒有相關可是科學園區是會改變的所以我們很希望說它是大家一起來討論就是說這個公平的一個遊戲規則怎麼樣制定出來那可以看得出來在都會區的民意代表跟在非都會區的民意代表的想像是不一樣的
transcript.whisperx[21].start 472.862
transcript.whisperx[21].end 476.563
transcript.whisperx[21].text 或者是說我剛剛所提的你剛才有說到的財政收支的微分的部分大家都希望說不好的先維持下去但是錢要留下來這個部分財政收支劃分法如果針對我們行政區劃的處理的話它一定會有不同的想像
transcript.whisperx[22].start 489.788
transcript.whisperx[22].end 516.674
transcript.whisperx[22].text 我們當然尊重以財政部為主的部分那再來地方制度就是剛剛所提的一般來講如果縣市要合併是地方縣市政府跟地方縣市議會兩個通過他們內部的一個程序如果同意以後可以報中央或是中央可以直接指定但是中央到目前為止通常沒有會直接指定因為這樣子不好沒有這個尊重民意但是地方要上來的時候呢這個四個地方縣市政府跟縣市議會意見就不一樣
transcript.whisperx[23].start 519.375
transcript.whisperx[23].end 533.512
transcript.whisperx[23].text 如果四個地方的縣市的意見不一樣因為通常大的一定會零價小的多的一定會零價少的少的不同意多的一定同意然後小的不同意大的一定同意之類的
transcript.whisperx[24].start 534.753
transcript.whisperx[24].end 555.318
transcript.whisperx[24].text 那這個我們就很難做決定所以通常都會卡住那這個跟這個不管是人的關係或者是生活圈的概念或者是財政的概念呢其實它是一個比較複雜的機制啦但是到目前為止呢雖然很多不管是在朝或在野的很多立委都提出來這樣子的一個爭議但是這個爭議呢對行政機關來講要把它收攏或者是一個有凝聚這個共識確實不容易
transcript.whisperx[25].start 562.219
transcript.whisperx[25].end 574.645
transcript.whisperx[25].text 就好像說前兩年我們提出說行政區劃法乾脆就改成行政區劃程序法其實還沒有送到行政院就有人反對了所以我們也會碰到這方面的困擾柏庭在這本縣要跟你說很艱苦的事情我們也要去做在這個你剛才說的跟本縣所想的都一樣我們勿忙
transcript.whisperx[26].start 583.909
transcript.whisperx[26].end 588.45
transcript.whisperx[26].text 花粉期的電池是更加發展、更加好、資源更加多不是花粉期的時候變成越增加越少、越沒有資源所以我們在這個花粉的時候,也非常重要我們希望中央把電池用心用好,是要讓電池沒有發展的
transcript.whisperx[27].start 610.276
transcript.whisperx[27].end 613.358
transcript.whisperx[27].text 可以越發展 交通越方便啦不要為了說 跟越沒人愛 比不愛 同樣的議員在這裡跟吃肉的都被撞到那裡去 這樣也不好 所以我問補充 能不能說 本身自己探討的問題未來我們要怎麼做的時候 一定要哪裏 能夠合平均的啦 不能差太多啦 以上
transcript.whisperx[28].start 640.353
transcript.whisperx[28].end 640.374
transcript.whisperx[28].text