iVOD / 165429

Field Value
IVOD_ID 165429
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165429
日期 2025-11-13
會議資料.會議代碼 委員會-11-4-23-6
會議資料.會議代碼:str 第11屆第4會期交通委員會第6次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 6
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.委員會代碼:str[0] 交通委員會
會議資料.標題 第11屆第4會期交通委員會第6次全體委員會議
影片種類 Clip
開始時間 2025-11-13T11:30:31+08:00
結束時間 2025-11-13T11:39:06+08:00
影片長度 00:08:35
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/fffa2c65c610face91c98c0daac4462463fe2012470c75420834c22697b3aa2aa7eba39b12b3691e5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 謝龍介
委員發言時間 11:30:31 - 11:39:06
會議時間 2025-11-13T09:00:00+08:00
會議名稱 立法院第11屆第4會期交通委員會第6次全體委員會議(事由:邀請行政院公共工程委員會主任委員陳金德列席報告業務概況,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 1.73534375
transcript.pyannote[0].end 5.16096875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 2.32596875
transcript.pyannote[1].end 3.27096875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 5.83596875
transcript.pyannote[2].end 7.43909375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 8.95784375
transcript.pyannote[3].end 23.18346875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 24.97221875
transcript.pyannote[4].end 34.70909375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 35.70471875
transcript.pyannote[5].end 48.91784375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 50.01471875
transcript.pyannote[6].end 54.92534375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 55.41471875
transcript.pyannote[7].end 57.64221875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 58.80659375
transcript.pyannote[8].end 65.75909375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 66.14721875
transcript.pyannote[9].end 66.94034375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 67.44659375
transcript.pyannote[10].end 68.96534375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 69.62346875
transcript.pyannote[11].end 71.41221875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 72.15471875
transcript.pyannote[12].end 73.33596875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 74.44971875
transcript.pyannote[13].end 80.49096875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 81.62159375
transcript.pyannote[14].end 82.90409375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 83.81534375
transcript.pyannote[15].end 85.57034375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 87.02159375
transcript.pyannote[16].end 89.75534375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 91.30784375
transcript.pyannote[17].end 91.32471875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 91.32471875
transcript.pyannote[18].end 92.30346875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 93.16409375
transcript.pyannote[19].end 95.34096875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 94.00784375
transcript.pyannote[20].end 97.01159375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 97.95659375
transcript.pyannote[21].end 100.15034375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 100.69034375
transcript.pyannote[22].end 102.71534375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 102.74909375
transcript.pyannote[23].end 105.41534375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 106.10721875
transcript.pyannote[24].end 107.00159375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 108.08159375
transcript.pyannote[25].end 108.95909375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 109.76909375
transcript.pyannote[26].end 110.52846875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 112.18221875
transcript.pyannote[27].end 114.19034375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 115.01721875
transcript.pyannote[28].end 115.38846875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 115.97909375
transcript.pyannote[29].end 122.99909375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 124.14659375
transcript.pyannote[30].end 126.28971875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 126.98159375
transcript.pyannote[31].end 129.74909375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 130.10346875
transcript.pyannote[32].end 132.48284375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 132.92159375
transcript.pyannote[33].end 134.15346875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 134.65971875
transcript.pyannote[34].end 140.90346875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 141.73034375
transcript.pyannote[35].end 142.54034375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 143.02971875
transcript.pyannote[36].end 145.54409375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 146.23596875
transcript.pyannote[37].end 148.19346875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 148.78409375
transcript.pyannote[38].end 150.47159375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 151.80471875
transcript.pyannote[39].end 156.58034375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 160.76534375
transcript.pyannote[40].end 162.79034375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 162.79034375
transcript.pyannote[41].end 167.17784375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 166.63784375
transcript.pyannote[42].end 168.17346875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 169.01721875
transcript.pyannote[43].end 173.43846875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 173.65784375
transcript.pyannote[44].end 174.56909375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 174.88971875
transcript.pyannote[45].end 175.73346875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 175.81784375
transcript.pyannote[46].end 176.67846875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 177.57284375
transcript.pyannote[47].end 179.78346875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 180.34034375
transcript.pyannote[48].end 184.62659375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 185.80784375
transcript.pyannote[49].end 186.76971875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 187.79909375
transcript.pyannote[50].end 192.72659375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 193.77284375
transcript.pyannote[51].end 195.52784375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 196.30409375
transcript.pyannote[52].end 197.87346875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 198.61596875
transcript.pyannote[53].end 200.05034375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 200.15159375
transcript.pyannote[54].end 202.32846875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 202.98659375
transcript.pyannote[55].end 204.75846875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 204.94409375
transcript.pyannote[56].end 209.04471875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 210.09096875
transcript.pyannote[57].end 213.44909375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 213.88784375
transcript.pyannote[58].end 215.84534375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 216.72284375
transcript.pyannote[59].end 216.97596875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 217.24596875
transcript.pyannote[60].end 220.06409375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 217.93784375
transcript.pyannote[61].end 218.19096875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 221.05971875
transcript.pyannote[62].end 221.81909375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 222.02159375
transcript.pyannote[63].end 224.60346875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 224.75534375
transcript.pyannote[64].end 227.37096875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 226.59471875
transcript.pyannote[65].end 236.34846875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 228.31596875
transcript.pyannote[66].end 229.15971875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 236.34846875
transcript.pyannote[67].end 238.08659375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 236.85471875
transcript.pyannote[68].end 238.67721875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 239.18346875
transcript.pyannote[69].end 239.65596875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 239.65596875
transcript.pyannote[70].end 243.01409375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 242.91284375
transcript.pyannote[71].end 242.94659375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 243.01409375
transcript.pyannote[72].end 243.79034375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 243.45284375
transcript.pyannote[73].end 247.62096875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 248.97096875
transcript.pyannote[74].end 256.00784375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 256.66596875
transcript.pyannote[75].end 258.65721875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 258.97784375
transcript.pyannote[76].end 259.92284375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 260.51346875
transcript.pyannote[77].end 262.94346875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 262.55534375
transcript.pyannote[78].end 269.55846875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 268.14096875
transcript.pyannote[79].end 268.49534375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 270.63846875
transcript.pyannote[80].end 272.44409375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 273.06846875
transcript.pyannote[81].end 274.82346875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 275.56596875
transcript.pyannote[82].end 277.94534375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 278.33346875
transcript.pyannote[83].end 280.83096875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 281.30346875
transcript.pyannote[84].end 284.10471875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 284.35784375
transcript.pyannote[85].end 288.72846875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 289.28534375
transcript.pyannote[86].end 290.29784375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 289.30221875
transcript.pyannote[87].end 299.79846875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 300.00096875
transcript.pyannote[88].end 311.27346875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 303.86534375
transcript.pyannote[89].end 303.91596875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 303.91596875
transcript.pyannote[90].end 304.00034375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 304.00034375
transcript.pyannote[91].end 304.33784375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 307.20659375
transcript.pyannote[92].end 307.64534375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 308.64096875
transcript.pyannote[93].end 313.01159375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 313.90596875
transcript.pyannote[94].end 322.95096875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 323.47409375
transcript.pyannote[95].end 326.32596875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 326.56221875
transcript.pyannote[96].end 327.01784375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 327.97971875
transcript.pyannote[97].end 329.53221875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 329.83596875
transcript.pyannote[98].end 335.13471875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 335.52284375
transcript.pyannote[99].end 337.64909375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 335.69159375
transcript.pyannote[100].end 335.70846875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 335.75909375
transcript.pyannote[101].end 336.58596875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 338.23971875
transcript.pyannote[102].end 342.98159375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 343.25159375
transcript.pyannote[103].end 352.68471875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 351.41909375
transcript.pyannote[104].end 351.90846875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 352.95471875
transcript.pyannote[105].end 355.78971875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 352.98846875
transcript.pyannote[106].end 354.38909375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 356.70096875
transcript.pyannote[107].end 358.16909375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 358.64159375
transcript.pyannote[108].end 361.42596875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 361.91534375
transcript.pyannote[109].end 364.83471875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 365.93159375
transcript.pyannote[110].end 371.90534375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 373.33971875
transcript.pyannote[111].end 374.26784375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 375.34784375
transcript.pyannote[112].end 376.25909375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 376.57971875
transcript.pyannote[113].end 377.76096875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 378.68909375
transcript.pyannote[114].end 379.39784375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 380.10659375
transcript.pyannote[115].end 386.28284375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 381.70971875
transcript.pyannote[116].end 382.01346875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 387.36284375
transcript.pyannote[117].end 395.15909375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 395.46284375
transcript.pyannote[118].end 403.44471875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 404.38971875
transcript.pyannote[119].end 408.74346875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 409.21596875
transcript.pyannote[120].end 412.18596875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 413.78909375
transcript.pyannote[121].end 415.74659375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 416.59034375
transcript.pyannote[122].end 422.10846875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 422.51346875
transcript.pyannote[123].end 439.28721875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 432.97596875
transcript.pyannote[124].end 434.00534375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 439.28721875
transcript.pyannote[125].end 439.30409375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 439.65846875
transcript.pyannote[126].end 440.06346875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 440.60346875
transcript.pyannote[127].end 446.56034375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 445.51409375
transcript.pyannote[128].end 448.48409375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 448.73721875
transcript.pyannote[129].end 450.32346875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 448.82159375
transcript.pyannote[130].end 451.96034375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 452.33159375
transcript.pyannote[131].end 454.00221875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 454.59284375
transcript.pyannote[132].end 454.94721875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 455.48721875
transcript.pyannote[133].end 461.81534375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 462.42284375
transcript.pyannote[134].end 462.79409375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 463.41846875
transcript.pyannote[135].end 479.82096875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 481.28909375
transcript.pyannote[136].end 484.86659375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 485.11971875
transcript.pyannote[137].end 489.40596875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 490.03034375
transcript.pyannote[138].end 492.46034375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 493.05096875
transcript.pyannote[139].end 497.08409375
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 497.82659375
transcript.pyannote[140].end 499.10909375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 499.37909375
transcript.pyannote[141].end 499.42971875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 499.42971875
transcript.pyannote[142].end 500.96534375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 500.96534375
transcript.pyannote[143].end 501.01596875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 501.01596875
transcript.pyannote[144].end 502.51784375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 501.42096875
transcript.pyannote[145].end 502.28159375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 502.80471875
transcript.pyannote[146].end 511.61346875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 505.99409375
transcript.pyannote[147].end 506.48346875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 508.49159375
transcript.pyannote[148].end 510.68534375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 512.27159375
transcript.pyannote[149].end 512.45721875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 512.45721875
transcript.pyannote[150].end 512.54159375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 512.54159375
transcript.pyannote[151].end 513.19971875
transcript.whisperx[0].start 2.235
transcript.whisperx[0].end 15.947
transcript.whisperx[0].text 非常好 剛才廖委員在說 主委辛苦了國防的採訪我們都支持 放寬發電為了台灣可以有減水艇 大家都支持但不能說我們大家都支持 就把這個
transcript.whisperx[1].start 25.111
transcript.whisperx[1].end 37.703
transcript.whisperx[1].text 不發 到包裝 核心 到探戶都包在裡面 臨摹不裝都可以運用 這不可能如果沒有問題 老總統在當選他就不會說前進國造要發展了就是有發生一些問題我們是說要怎麼去理性 面對你專業是希望你怎麼用專業退一套
transcript.whisperx[2].start 50.868
transcript.whisperx[2].end 53.795
transcript.whisperx[2].text 要發動法律 也要付出代價嘛 對嗎希望台灣臨晚要改變
transcript.whisperx[3].start 58.894
transcript.whisperx[3].end 80.251
transcript.whisperx[3].text 需要力量跟太陽能的發電但是不可以因為需要力量跟太陽能的發電這樣就能溫泉過太高級了是不是這樣這是大家真理性來看待這問題主委我請教你我們說的那天委員會是不是有一個叫做拆槓新手的心理委員會這個有啦這個委員會的功能是什麼
transcript.whisperx[4].start 87.059
transcript.whisperx[4].end 96.466
transcript.whisperx[4].text 包括申訴跟禮約爭議調解管理很大申訴跟禮約爭議調解管理很大 因為我對工程結構有了解過去我整理了什麼因為這個條件出來的結論比較像機關如果不同意對方就可以去申請仲裁
transcript.whisperx[5].start 116.218
transcript.whisperx[5].end 139.867
transcript.whisperx[5].text 一般全台灣所有的政策 還有的官司 政府差不多3%就是1%說最好選擇的政策 政策差不多超過十八九年以前機關付出的代價會更大所以在你們這個裡面 其實是很重要啦他的改水跟過程的結論啦 會影響阿伯輸贏 大概在這裡
transcript.whisperx[6].start 141.755
transcript.whisperx[6].end 150.081
transcript.whisperx[6].text 判定了啦 如果來行的在這看到這個結論處理去調查的時候就差不多知道勝負多少了我請問你喔 這個委員會裡面有一個姓孔的委員主委你不瞭解我知道 你如果 你講孔嘛我們有一個孔帆起律師啦是是是
transcript.whisperx[7].start 169.039
transcript.whisperx[7].end 184.362
transcript.whisperx[7].text 他是一個律師啦 但是當然律師接什麼案件不管了 他也要接政府的 也有去接一方的兩邊他都有委託 這是律師的權益 但是他也是你的委員就對了但是在這個委員會裡面 他就變成是法律上受權的公務員他就是這個委員啦
transcript.whisperx[8].start 196.7
transcript.whisperx[8].end 207.947
transcript.whisperx[8].text 所以本會就變成可以來關心因為我記得有我們會立委有跟主委請教過就是說他覺得有食人的問題但是你以前的回答就是說沒問題嘛主委你以前有說過
transcript.whisperx[9].start 222.349
transcript.whisperx[9].end 238.113
transcript.whisperx[9].text 報告委員孔律師我從來不認識他我知道啦不是啦不是你的問題我是跟委員說明他以前接的甲方的案件公務局啦高工局替政府機關訴訟的最多所以他做很多因為就是說聘人沒問題嘛沒有問題你會說你沒問題嘛經濟我了解就是說
transcript.whisperx[10].start 249.008
transcript.whisperx[10].end 268.931
transcript.whisperx[10].text 你們這個委員會大概就是每個禮拜五開會嘛那是大會那是大會嘛 啊大會之前呢如果有這個問題 分給這個有心會嘛就是看是申訴還是有心會大概就是一個專業的 一個法律的啊原則上就大概這樣嘛
transcript.whisperx[11].start 271.094
transcript.whisperx[11].end 282.183
transcript.whisperx[11].text 大家都是委員,他還在想委託,如果來搞這個無心肺大我們兩個像我們兩個現在這樣在這裡有在活動,臨港肺大,只有我們兩個你認為這樣會受到影響嗎?會受到這個台肺國際的影響嗎?
transcript.whisperx[12].start 290.369
transcript.whisperx[12].end 312.437
transcript.whisperx[12].text 我想這個是律師職業過程裡面經常會面臨的問題譬如說律師也很多在各個機關的這個書院委員會等等都會有案件個案要利益迴避的問題所以原則上只要是從事這個行業的大概不應該說我跟他認識或怎麼樣不用去解說背景啦 就是說工作要避嫌嘛
transcript.whisperx[13].start 313.953
transcript.whisperx[13].end 341.87
transcript.whisperx[13].text 群組派遣就說 譬如說他在你們裡面你現在把他引來 我也覺得很奇怪如果這樣就表示他接案來做委員就裁判檢選手了嘛這就是說 我的意思是說不是針對個人 就是針對同案我們尽量群組派遣嘛因為公共鋼鐵委員會是一個洞見觀察大家都覺得是信任人 所以就對你們來嘛
transcript.whisperx[14].start 343.311
transcript.whisperx[14].end 371.079
transcript.whisperx[14].text 所以他現在 依我的理解就是說他只要他有擔任過他代理案件的機構和廠商他都會迴避 他會全案件都迴避你今年啦 今年的價位他已經是做委員了他有收到一間應責公司的委託要向公共工廠申請調解之後呢 公共工廠會做出建議之後我們做出來之後 我們待會做完
transcript.whisperx[15].start 373.55
transcript.whisperx[15].end 385.987
transcript.whisperx[15].text 結果呢這個人不同意誰不同意這個親情的他就說他不同意你現在聽我說不同意的理由是當然就是他寫的
transcript.whisperx[16].start 388.538
transcript.whisperx[16].end 403.161
transcript.whisperx[16].text 他說你們工廠會的調解建議是片面採納他這董事員的意見並不足由你申請人的部分 若不可能 若不符合申請人對公共工廠委員會的期待所以這就是他思考 我覺得他是你們的委員他現在對他的董事員 對你們提出抨擊主委 我覺得這樣 你會受傷
transcript.whisperx[17].start 416.976
transcript.whisperx[17].end 437.837
transcript.whisperx[17].text 報告委員 這個申訴調解像我們代表會也有調解委員會那這個禮業爭議的調解有的案件蠻大的那這個調解很專業我們不可能讓所有的律師都不參與調解委員會就是他該避 該迴避的迴避他要自我
transcript.whisperx[18].start 441.924
transcript.whisperx[18].end 453.877
transcript.whisperx[18].text 之後他寫出來的結論是來評價你的委員會做出來就是他受理案件的立場來寫他的這個這樣就會變成角色矛盾啦我的意思是說在公共工程委員會裡面應該盡量撇免這種角色矛盾啦
transcript.whisperx[19].start 463.442
transcript.whisperx[19].end 491.995
transcript.whisperx[19].text 你這個角色矛盾就會讓一般外界所有的人 我要來給你選擇的人變成說 你們就求完兼裁判 還可以做裁判現在做求完 再來說裁判都不對主委你有沒有給他處理 有沒有調整 我認為希望這個個案以外 其他大家因為我相信會做到律師 會做到委員 本身都有主律的紀律的功能
transcript.whisperx[20].start 493.123
transcript.whisperx[20].end 508.948
transcript.whisperx[20].text 主委你看 有需要 我今天這樣跟你講 你可以接受嗎我想要保持這個 要公正一定是絕對的價值那個案裡面 我們來解釋有沒有適當的部分