iVOD / 162111

Field Value
IVOD_ID 162111
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/162111
日期 2025-05-29
會議資料.會議代碼 委員會-11-3-22-14
會議資料.會議代碼:str 第11屆第3會期教育及文化委員會第14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 14
會議資料.種類 委員會
會議資料.委員會代碼[0] 22
會議資料.委員會代碼:str[0] 教育及文化委員會
會議資料.標題 第11屆第3會期教育及文化委員會第14次全體委員會議
影片種類 Clip
開始時間 2025-05-29T12:44:25+08:00
結束時間 2025-05-29T13:06:02+08:00
影片長度 00:21:37
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/99583f279a18fcc104a52166c6b9510a1219069fb8f2289fc1e10d7d885c30d1a3edfb217b8fd1275ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃國昌
委員發言時間 12:44:25 - 13:06:02
會議時間 2025-05-29T09:00:00+08:00
會議名稱 立法院第11屆第3會期教育及文化委員會第14次全體委員會議(事由:處理114年度中央政府總預算有關國家科學及技術委員會主管預算解凍案22案。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.62159375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 5.65034375
transcript.pyannote[1].end 7.23659375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 8.55284375
transcript.pyannote[2].end 10.51034375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 14.32409375
transcript.pyannote[3].end 15.01596875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 16.99034375
transcript.pyannote[4].end 17.02409375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 17.02409375
transcript.pyannote[5].end 18.03659375
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 18.45846875
transcript.pyannote[6].end 19.62284375
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 20.24721875
transcript.pyannote[7].end 21.88409375
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 22.27221875
transcript.pyannote[8].end 24.06096875
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 24.73596875
transcript.pyannote[9].end 26.77784375
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 29.41034375
transcript.pyannote[10].end 33.64596875
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 34.54034375
transcript.pyannote[11].end 35.56971875
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 35.92409375
transcript.pyannote[12].end 36.41346875
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 37.05471875
transcript.pyannote[13].end 41.91471875
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 42.31971875
transcript.pyannote[14].end 44.02409375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 44.49659375
transcript.pyannote[15].end 46.58909375
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 48.02346875
transcript.pyannote[16].end 49.74471875
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 50.18346875
transcript.pyannote[17].end 51.88784375
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 53.22096875
transcript.pyannote[18].end 57.23721875
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 58.35096875
transcript.pyannote[19].end 59.19471875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 61.00034375
transcript.pyannote[20].end 63.80159375
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 64.45971875
transcript.pyannote[21].end 67.21034375
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 67.85159375
transcript.pyannote[22].end 68.93159375
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 69.84284375
transcript.pyannote[23].end 71.17596875
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 75.54659375
transcript.pyannote[24].end 78.21284375
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 79.44471875
transcript.pyannote[25].end 81.92534375
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 82.65096875
transcript.pyannote[26].end 84.92909375
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 85.73909375
transcript.pyannote[27].end 87.42659375
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 89.83971875
transcript.pyannote[28].end 92.38784375
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 93.63659375
transcript.pyannote[29].end 103.67721875
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 104.63909375
transcript.pyannote[30].end 105.34784375
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 105.85409375
transcript.pyannote[31].end 108.18284375
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 109.27971875
transcript.pyannote[32].end 109.87034375
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 110.73096875
transcript.pyannote[33].end 111.87846875
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 113.66721875
transcript.pyannote[34].end 114.66284375
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 115.54034375
transcript.pyannote[35].end 116.31659375
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 117.46409375
transcript.pyannote[36].end 119.21909375
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 119.52284375
transcript.pyannote[37].end 120.46784375
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 121.69971875
transcript.pyannote[38].end 124.82159375
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 125.59784375
transcript.pyannote[39].end 127.69034375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 129.17534375
transcript.pyannote[40].end 130.98096875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 131.74034375
transcript.pyannote[41].end 135.43596875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 135.57096875
transcript.pyannote[42].end 146.82659375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 138.87846875
transcript.pyannote[43].end 139.41846875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 146.97846875
transcript.pyannote[44].end 150.72471875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 150.97784375
transcript.pyannote[45].end 158.79096875
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 158.79096875
transcript.pyannote[46].end 158.89221875
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 160.41096875
transcript.pyannote[47].end 162.09846875
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 162.84096875
transcript.pyannote[48].end 165.54096875
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 166.26659375
transcript.pyannote[49].end 169.65846875
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 170.62034375
transcript.pyannote[50].end 175.00784375
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 175.34534375
transcript.pyannote[51].end 176.72909375
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 177.10034375
transcript.pyannote[52].end 180.64409375
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 180.82971875
transcript.pyannote[53].end 182.23034375
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 183.32721875
transcript.pyannote[54].end 184.54221875
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 186.02721875
transcript.pyannote[55].end 188.00159375
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 188.76096875
transcript.pyannote[56].end 189.87471875
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 190.54971875
transcript.pyannote[57].end 191.64659375
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 192.74346875
transcript.pyannote[58].end 193.57034375
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 194.44784375
transcript.pyannote[59].end 195.91596875
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 196.55721875
transcript.pyannote[60].end 198.56534375
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 198.93659375
transcript.pyannote[61].end 200.43846875
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 200.87721875
transcript.pyannote[62].end 207.12096875
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 208.06596875
transcript.pyannote[63].end 209.92221875
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 211.20471875
transcript.pyannote[64].end 213.53346875
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 214.29284375
transcript.pyannote[65].end 216.31784375
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 216.94221875
transcript.pyannote[66].end 218.44409375
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 218.71409375
transcript.pyannote[67].end 220.26659375
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 222.69659375
transcript.pyannote[68].end 224.26596875
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 224.75534375
transcript.pyannote[69].end 226.07159375
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 226.27409375
transcript.pyannote[70].end 227.84346875
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 228.85596875
transcript.pyannote[71].end 230.12159375
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 230.62784375
transcript.pyannote[72].end 232.02846875
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 233.47971875
transcript.pyannote[73].end 234.10409375
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 235.63971875
transcript.pyannote[74].end 237.09096875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 237.51284375
transcript.pyannote[75].end 240.22971875
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 241.17471875
transcript.pyannote[76].end 244.95471875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 244.95471875
transcript.pyannote[77].end 244.98846875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 246.72659375
transcript.pyannote[78].end 247.43534375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 247.94159375
transcript.pyannote[79].end 253.96596875
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 251.60346875
transcript.pyannote[80].end 253.10534375
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 253.56096875
transcript.pyannote[81].end 253.89846875
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 253.96596875
transcript.pyannote[82].end 257.20596875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 258.08346875
transcript.pyannote[83].end 270.13221875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 270.36846875
transcript.pyannote[84].end 270.97596875
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 270.97596875
transcript.pyannote[85].end 277.69221875
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 277.97909375
transcript.pyannote[86].end 280.10534375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 280.84784375
transcript.pyannote[87].end 281.05034375
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 281.05034375
transcript.pyannote[88].end 281.28659375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 281.28659375
transcript.pyannote[89].end 281.43846875
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 281.43846875
transcript.pyannote[90].end 282.38346875
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 283.15971875
transcript.pyannote[91].end 294.56721875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 294.56721875
transcript.pyannote[92].end 295.86659375
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 295.63034375
transcript.pyannote[93].end 298.11096875
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 299.30909375
transcript.pyannote[94].end 302.39721875
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 303.10596875
transcript.pyannote[95].end 303.71346875
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 305.38409375
transcript.pyannote[96].end 310.10909375
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 310.68284375
transcript.pyannote[97].end 314.56409375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 315.42471875
transcript.pyannote[98].end 318.78284375
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 319.79534375
transcript.pyannote[99].end 321.33096875
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 322.54596875
transcript.pyannote[100].end 329.39721875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 329.98784375
transcript.pyannote[101].end 332.82284375
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 333.14346875
transcript.pyannote[102].end 334.32471875
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 335.57346875
transcript.pyannote[103].end 339.16784375
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 340.99034375
transcript.pyannote[104].end 342.54284375
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 343.67346875
transcript.pyannote[105].end 345.88409375
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 346.18784375
transcript.pyannote[106].end 347.11596875
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 348.38159375
transcript.pyannote[107].end 349.27596875
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 350.86221875
transcript.pyannote[108].end 352.43159375
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 353.30909375
transcript.pyannote[109].end 356.95409375
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 357.67971875
transcript.pyannote[110].end 358.65846875
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 359.51909375
transcript.pyannote[111].end 360.51471875
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 361.22346875
transcript.pyannote[112].end 362.37096875
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 363.73784375
transcript.pyannote[113].end 364.85159375
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 365.91471875
transcript.pyannote[114].end 372.69846875
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 374.30159375
transcript.pyannote[115].end 375.65159375
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 376.98471875
transcript.pyannote[116].end 380.68034375
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 381.77721875
transcript.pyannote[117].end 383.11034375
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 383.66721875
transcript.pyannote[118].end 385.86096875
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 387.43034375
transcript.pyannote[119].end 389.08409375
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 392.69534375
transcript.pyannote[120].end 394.87221875
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 397.11659375
transcript.pyannote[121].end 400.71096875
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 401.28471875
transcript.pyannote[122].end 403.34346875
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 404.47409375
transcript.pyannote[123].end 406.71846875
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 407.15721875
transcript.pyannote[124].end 408.43971875
transcript.pyannote[125].speaker SPEAKER_03
transcript.pyannote[125].start 409.21596875
transcript.pyannote[125].end 411.73034375
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 412.64159375
transcript.pyannote[126].end 415.76346875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 417.19784375
transcript.pyannote[127].end 420.28596875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 420.53909375
transcript.pyannote[128].end 427.57596875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 427.64346875
transcript.pyannote[129].end 428.55471875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 429.33096875
transcript.pyannote[130].end 429.92159375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 429.97221875
transcript.pyannote[131].end 431.52471875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 432.04784375
transcript.pyannote[132].end 436.06409375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 436.55346875
transcript.pyannote[133].end 439.25346875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 437.61659375
transcript.pyannote[134].end 438.59534375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 439.92846875
transcript.pyannote[135].end 442.69596875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 443.28659375
transcript.pyannote[136].end 443.38784375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 443.40471875
transcript.pyannote[137].end 443.48909375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 443.50596875
transcript.pyannote[138].end 454.89659375
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 454.79534375
transcript.pyannote[139].end 456.98909375
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 457.37721875
transcript.pyannote[140].end 458.98034375
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 459.85784375
transcript.pyannote[141].end 463.26659375
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 463.78971875
transcript.pyannote[142].end 465.93284375
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 467.23221875
transcript.pyannote[143].end 470.21909375
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 470.70846875
transcript.pyannote[144].end 471.73784375
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 472.98659375
transcript.pyannote[145].end 474.11721875
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 476.73284375
transcript.pyannote[146].end 477.74534375
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 479.51721875
transcript.pyannote[147].end 481.94721875
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 481.96409375
transcript.pyannote[148].end 481.99784375
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 483.22971875
transcript.pyannote[149].end 488.49471875
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 489.15284375
transcript.pyannote[150].end 491.00909375
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 493.16909375
transcript.pyannote[151].end 494.83971875
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 496.05471875
transcript.pyannote[152].end 497.69159375
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 498.19784375
transcript.pyannote[153].end 499.56471875
transcript.pyannote[154].speaker SPEAKER_03
transcript.pyannote[154].start 499.81784375
transcript.pyannote[154].end 501.03284375
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 501.06659375
transcript.pyannote[155].end 502.29846875
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 502.88909375
transcript.pyannote[156].end 504.01971875
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 504.74534375
transcript.pyannote[157].end 505.23471875
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 506.55096875
transcript.pyannote[158].end 507.98534375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 509.89221875
transcript.pyannote[159].end 521.83971875
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 524.48909375
transcript.pyannote[160].end 525.24846875
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 526.17659375
transcript.pyannote[161].end 541.07721875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 526.41284375
transcript.pyannote[162].end 526.91909375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 541.98846875
transcript.pyannote[163].end 542.98409375
transcript.pyannote[164].speaker SPEAKER_03
transcript.pyannote[164].start 543.81096875
transcript.pyannote[164].end 544.60409375
transcript.pyannote[165].speaker SPEAKER_03
transcript.pyannote[165].start 545.36346875
transcript.pyannote[165].end 546.44346875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 547.37159375
transcript.pyannote[166].end 548.09721875
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 548.09721875
transcript.pyannote[167].end 548.24909375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 548.24909375
transcript.pyannote[168].end 548.33346875
transcript.pyannote[169].speaker SPEAKER_03
transcript.pyannote[169].start 548.33346875
transcript.pyannote[169].end 548.45159375
transcript.pyannote[170].speaker SPEAKER_03
transcript.pyannote[170].start 548.56971875
transcript.pyannote[170].end 551.38784375
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 551.72534375
transcript.pyannote[171].end 552.88971875
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 553.19346875
transcript.pyannote[172].end 554.94846875
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 556.07909375
transcript.pyannote[173].end 558.13784375
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 558.74534375
transcript.pyannote[174].end 560.97284375
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 561.59721875
transcript.pyannote[175].end 566.52471875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 567.26721875
transcript.pyannote[176].end 568.44846875
transcript.pyannote[177].speaker SPEAKER_03
transcript.pyannote[177].start 568.02659375
transcript.pyannote[177].end 570.03471875
transcript.pyannote[178].speaker SPEAKER_03
transcript.pyannote[178].start 570.28784375
transcript.pyannote[178].end 572.61659375
transcript.pyannote[179].speaker SPEAKER_03
transcript.pyannote[179].start 573.69659375
transcript.pyannote[179].end 575.28284375
transcript.pyannote[180].speaker SPEAKER_03
transcript.pyannote[180].start 577.03784375
transcript.pyannote[180].end 578.45534375
transcript.pyannote[181].speaker SPEAKER_03
transcript.pyannote[181].start 580.26096875
transcript.pyannote[181].end 581.42534375
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 582.57284375
transcript.pyannote[182].end 592.00596875
transcript.pyannote[183].speaker SPEAKER_03
transcript.pyannote[183].start 592.86659375
transcript.pyannote[183].end 594.14909375
transcript.pyannote[184].speaker SPEAKER_03
transcript.pyannote[184].start 594.62159375
transcript.pyannote[184].end 596.88284375
transcript.pyannote[185].speaker SPEAKER_03
transcript.pyannote[185].start 597.15284375
transcript.pyannote[185].end 602.65409375
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 605.94471875
transcript.pyannote[186].end 608.00346875
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 608.76284375
transcript.pyannote[187].end 610.65284375
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 612.05346875
transcript.pyannote[188].end 616.62659375
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 617.03159375
transcript.pyannote[189].end 618.49971875
transcript.pyannote[190].speaker SPEAKER_03
transcript.pyannote[190].start 619.61346875
transcript.pyannote[190].end 620.01846875
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 620.98034375
transcript.pyannote[191].end 623.03909375
transcript.pyannote[192].speaker SPEAKER_03
transcript.pyannote[192].start 623.95034375
transcript.pyannote[192].end 627.44346875
transcript.pyannote[193].speaker SPEAKER_03
transcript.pyannote[193].start 628.21971875
transcript.pyannote[193].end 640.21784375
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 641.77034375
transcript.pyannote[194].end 643.60971875
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 644.80784375
transcript.pyannote[195].end 648.28409375
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 648.67221875
transcript.pyannote[196].end 651.06846875
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 653.02596875
transcript.pyannote[197].end 655.01721875
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 655.84409375
transcript.pyannote[198].end 657.41346875
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 658.08846875
transcript.pyannote[199].end 658.94909375
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 662.22284375
transcript.pyannote[200].end 663.23534375
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 663.53909375
transcript.pyannote[201].end 664.92284375
transcript.pyannote[202].speaker SPEAKER_03
transcript.pyannote[202].start 665.59784375
transcript.pyannote[202].end 666.32346875
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 666.98159375
transcript.pyannote[203].end 668.78721875
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 669.66471875
transcript.pyannote[204].end 671.57159375
transcript.pyannote[205].speaker SPEAKER_03
transcript.pyannote[205].start 672.12846875
transcript.pyannote[205].end 673.46159375
transcript.pyannote[206].speaker SPEAKER_03
transcript.pyannote[206].start 673.76534375
transcript.pyannote[206].end 677.22471875
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 677.56221875
transcript.pyannote[207].end 680.16096875
transcript.pyannote[208].speaker SPEAKER_03
transcript.pyannote[208].start 680.32971875
transcript.pyannote[208].end 682.23659375
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 682.43909375
transcript.pyannote[209].end 684.32909375
transcript.pyannote[210].speaker SPEAKER_03
transcript.pyannote[210].start 684.80159375
transcript.pyannote[210].end 685.78034375
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 686.64096875
transcript.pyannote[211].end 687.72096875
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 688.31159375
transcript.pyannote[212].end 691.33221875
transcript.pyannote[213].speaker SPEAKER_03
transcript.pyannote[213].start 691.93971875
transcript.pyannote[213].end 698.52096875
transcript.pyannote[214].speaker SPEAKER_03
transcript.pyannote[214].start 698.85846875
transcript.pyannote[214].end 704.61284375
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 705.37221875
transcript.pyannote[215].end 710.99159375
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 712.84784375
transcript.pyannote[216].end 714.53534375
transcript.pyannote[217].speaker SPEAKER_03
transcript.pyannote[217].start 715.31159375
transcript.pyannote[217].end 716.03721875
transcript.pyannote[218].speaker SPEAKER_03
transcript.pyannote[218].start 716.57721875
transcript.pyannote[218].end 719.41221875
transcript.pyannote[219].speaker SPEAKER_03
transcript.pyannote[219].start 720.50909375
transcript.pyannote[219].end 722.02784375
transcript.pyannote[220].speaker SPEAKER_03
transcript.pyannote[220].start 722.98971875
transcript.pyannote[220].end 724.66034375
transcript.pyannote[221].speaker SPEAKER_03
transcript.pyannote[221].start 725.45346875
transcript.pyannote[221].end 728.60909375
transcript.pyannote[222].speaker SPEAKER_03
transcript.pyannote[222].start 729.36846875
transcript.pyannote[222].end 731.91659375
transcript.pyannote[223].speaker SPEAKER_03
transcript.pyannote[223].start 732.70971875
transcript.pyannote[223].end 736.38846875
transcript.pyannote[224].speaker SPEAKER_03
transcript.pyannote[224].start 736.92846875
transcript.pyannote[224].end 739.45971875
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 739.88159375
transcript.pyannote[225].end 743.08784375
transcript.pyannote[226].speaker SPEAKER_03
transcript.pyannote[226].start 743.50971875
transcript.pyannote[226].end 748.43721875
transcript.pyannote[227].speaker SPEAKER_03
transcript.pyannote[227].start 749.51721875
transcript.pyannote[227].end 751.18784375
transcript.pyannote[228].speaker SPEAKER_03
transcript.pyannote[228].start 752.01471875
transcript.pyannote[228].end 753.26346875
transcript.pyannote[229].speaker SPEAKER_03
transcript.pyannote[229].start 753.48284375
transcript.pyannote[229].end 753.88784375
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 754.30971875
transcript.pyannote[230].end 759.72659375
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 761.48159375
transcript.pyannote[231].end 773.07471875
transcript.pyannote[232].speaker SPEAKER_03
transcript.pyannote[232].start 772.56846875
transcript.pyannote[232].end 773.24346875
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 773.24346875
transcript.pyannote[233].end 773.61471875
transcript.pyannote[234].speaker SPEAKER_03
transcript.pyannote[234].start 773.61471875
transcript.pyannote[234].end 774.28971875
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 774.64409375
transcript.pyannote[235].end 783.18284375
transcript.pyannote[236].speaker SPEAKER_03
transcript.pyannote[236].start 783.89159375
transcript.pyannote[236].end 791.02971875
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 785.30909375
transcript.pyannote[237].end 785.68034375
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 788.02596875
transcript.pyannote[238].end 788.83596875
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 791.02971875
transcript.pyannote[239].end 792.32909375
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 792.90284375
transcript.pyannote[240].end 793.35846875
transcript.pyannote[241].speaker SPEAKER_01
transcript.pyannote[241].start 793.69596875
transcript.pyannote[241].end 811.49909375
transcript.pyannote[242].speaker SPEAKER_03
transcript.pyannote[242].start 805.22159375
transcript.pyannote[242].end 805.55909375
transcript.pyannote[243].speaker SPEAKER_03
transcript.pyannote[243].start 808.59659375
transcript.pyannote[243].end 810.45284375
transcript.pyannote[244].speaker SPEAKER_03
transcript.pyannote[244].start 811.02659375
transcript.pyannote[244].end 813.35534375
transcript.pyannote[245].speaker SPEAKER_03
transcript.pyannote[245].start 813.69284375
transcript.pyannote[245].end 818.02971875
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 818.02971875
transcript.pyannote[246].end 825.47159375
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 825.58971875
transcript.pyannote[247].end 828.86346875
transcript.pyannote[248].speaker SPEAKER_01
transcript.pyannote[248].start 829.38659375
transcript.pyannote[248].end 835.27596875
transcript.pyannote[249].speaker SPEAKER_03
transcript.pyannote[249].start 830.17971875
transcript.pyannote[249].end 830.46659375
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 835.74846875
transcript.pyannote[250].end 836.79471875
transcript.pyannote[251].speaker SPEAKER_03
transcript.pyannote[251].start 836.38971875
transcript.pyannote[251].end 844.23659375
transcript.pyannote[252].speaker SPEAKER_01
transcript.pyannote[252].start 839.15721875
transcript.pyannote[252].end 840.40596875
transcript.pyannote[253].speaker SPEAKER_03
transcript.pyannote[253].start 845.36721875
transcript.pyannote[253].end 847.45971875
transcript.pyannote[254].speaker SPEAKER_01
transcript.pyannote[254].start 848.15159375
transcript.pyannote[254].end 857.16284375
transcript.pyannote[255].speaker SPEAKER_03
transcript.pyannote[255].start 849.90659375
transcript.pyannote[255].end 851.44221875
transcript.pyannote[256].speaker SPEAKER_03
transcript.pyannote[256].start 852.43784375
transcript.pyannote[256].end 853.09596875
transcript.pyannote[257].speaker SPEAKER_01
transcript.pyannote[257].start 857.78721875
transcript.pyannote[257].end 871.50659375
transcript.pyannote[258].speaker SPEAKER_03
transcript.pyannote[258].start 871.50659375
transcript.pyannote[258].end 871.64159375
transcript.pyannote[259].speaker SPEAKER_01
transcript.pyannote[259].start 871.75971875
transcript.pyannote[259].end 871.96221875
transcript.pyannote[260].speaker SPEAKER_03
transcript.pyannote[260].start 871.96221875
transcript.pyannote[260].end 872.43471875
transcript.pyannote[261].speaker SPEAKER_03
transcript.pyannote[261].start 873.39659375
transcript.pyannote[261].end 880.60221875
transcript.pyannote[262].speaker SPEAKER_03
transcript.pyannote[262].start 881.81721875
transcript.pyannote[262].end 887.50409375
transcript.pyannote[263].speaker SPEAKER_01
transcript.pyannote[263].start 883.53846875
transcript.pyannote[263].end 886.15409375
transcript.pyannote[264].speaker SPEAKER_03
transcript.pyannote[264].start 888.12846875
transcript.pyannote[264].end 889.64721875
transcript.pyannote[265].speaker SPEAKER_03
transcript.pyannote[265].start 890.84534375
transcript.pyannote[265].end 892.43159375
transcript.pyannote[266].speaker SPEAKER_03
transcript.pyannote[266].start 893.42721875
transcript.pyannote[266].end 894.25409375
transcript.pyannote[267].speaker SPEAKER_03
transcript.pyannote[267].start 894.81096875
transcript.pyannote[267].end 897.93284375
transcript.pyannote[268].speaker SPEAKER_03
transcript.pyannote[268].start 898.82721875
transcript.pyannote[268].end 902.21909375
transcript.pyannote[269].speaker SPEAKER_03
transcript.pyannote[269].start 903.63659375
transcript.pyannote[269].end 905.79659375
transcript.pyannote[270].speaker SPEAKER_03
transcript.pyannote[270].start 906.52221875
transcript.pyannote[270].end 907.55159375
transcript.pyannote[271].speaker SPEAKER_03
transcript.pyannote[271].start 908.19284375
transcript.pyannote[271].end 910.90971875
transcript.pyannote[272].speaker SPEAKER_03
transcript.pyannote[272].start 911.70284375
transcript.pyannote[272].end 912.31034375
transcript.pyannote[273].speaker SPEAKER_03
transcript.pyannote[273].start 914.53784375
transcript.pyannote[273].end 915.36471875
transcript.pyannote[274].speaker SPEAKER_03
transcript.pyannote[274].start 916.34346875
transcript.pyannote[274].end 917.89596875
transcript.pyannote[275].speaker SPEAKER_03
transcript.pyannote[275].start 918.72284375
transcript.pyannote[275].end 919.39784375
transcript.pyannote[276].speaker SPEAKER_03
transcript.pyannote[276].start 919.63409375
transcript.pyannote[276].end 924.17346875
transcript.pyannote[277].speaker SPEAKER_03
transcript.pyannote[277].start 924.96659375
transcript.pyannote[277].end 926.16471875
transcript.pyannote[278].speaker SPEAKER_03
transcript.pyannote[278].start 927.12659375
transcript.pyannote[278].end 928.78034375
transcript.pyannote[279].speaker SPEAKER_03
transcript.pyannote[279].start 931.24409375
transcript.pyannote[279].end 932.99909375
transcript.pyannote[280].speaker SPEAKER_03
transcript.pyannote[280].start 933.67409375
transcript.pyannote[280].end 942.28034375
transcript.pyannote[281].speaker SPEAKER_03
transcript.pyannote[281].start 943.19159375
transcript.pyannote[281].end 945.06471875
transcript.pyannote[282].speaker SPEAKER_03
transcript.pyannote[282].start 947.95034375
transcript.pyannote[282].end 964.23471875
transcript.pyannote[283].speaker SPEAKER_01
transcript.pyannote[283].start 954.14346875
transcript.pyannote[283].end 954.73409375
transcript.pyannote[284].speaker SPEAKER_03
transcript.pyannote[284].start 965.16284375
transcript.pyannote[284].end 965.73659375
transcript.pyannote[285].speaker SPEAKER_03
transcript.pyannote[285].start 966.64784375
transcript.pyannote[285].end 967.13721875
transcript.pyannote[286].speaker SPEAKER_03
transcript.pyannote[286].start 967.74471875
transcript.pyannote[286].end 969.61784375
transcript.pyannote[287].speaker SPEAKER_03
transcript.pyannote[287].start 970.69784375
transcript.pyannote[287].end 975.62534375
transcript.pyannote[288].speaker SPEAKER_03
transcript.pyannote[288].start 975.82784375
transcript.pyannote[288].end 977.70096875
transcript.pyannote[289].speaker SPEAKER_03
transcript.pyannote[289].start 978.25784375
transcript.pyannote[289].end 982.99971875
transcript.pyannote[290].speaker SPEAKER_03
transcript.pyannote[290].start 983.91096875
transcript.pyannote[290].end 986.42534375
transcript.pyannote[291].speaker SPEAKER_03
transcript.pyannote[291].start 986.76284375
transcript.pyannote[291].end 994.62659375
transcript.pyannote[292].speaker SPEAKER_03
transcript.pyannote[292].start 994.99784375
transcript.pyannote[292].end 999.72284375
transcript.pyannote[293].speaker SPEAKER_01
transcript.pyannote[293].start 1001.14034375
transcript.pyannote[293].end 1002.00096875
transcript.pyannote[294].speaker SPEAKER_01
transcript.pyannote[294].start 1002.81096875
transcript.pyannote[294].end 1004.56596875
transcript.pyannote[295].speaker SPEAKER_01
transcript.pyannote[295].start 1005.10596875
transcript.pyannote[295].end 1016.96909375
transcript.pyannote[296].speaker SPEAKER_03
transcript.pyannote[296].start 1016.96909375
transcript.pyannote[296].end 1018.33596875
transcript.pyannote[297].speaker SPEAKER_01
transcript.pyannote[297].start 1018.28534375
transcript.pyannote[297].end 1018.30221875
transcript.pyannote[298].speaker SPEAKER_02
transcript.pyannote[298].start 1018.30221875
transcript.pyannote[298].end 1018.57221875
transcript.pyannote[299].speaker SPEAKER_03
transcript.pyannote[299].start 1018.57221875
transcript.pyannote[299].end 1022.08221875
transcript.pyannote[300].speaker SPEAKER_01
transcript.pyannote[300].start 1018.58909375
transcript.pyannote[300].end 1018.60596875
transcript.pyannote[301].speaker SPEAKER_03
transcript.pyannote[301].start 1022.45346875
transcript.pyannote[301].end 1026.33471875
transcript.pyannote[302].speaker SPEAKER_01
transcript.pyannote[302].start 1026.33471875
transcript.pyannote[302].end 1028.57909375
transcript.pyannote[303].speaker SPEAKER_01
transcript.pyannote[303].start 1028.89971875
transcript.pyannote[303].end 1034.97471875
transcript.pyannote[304].speaker SPEAKER_03
transcript.pyannote[304].start 1034.97471875
transcript.pyannote[304].end 1046.68596875
transcript.pyannote[305].speaker SPEAKER_02
transcript.pyannote[305].start 1036.44284375
transcript.pyannote[305].end 1036.83096875
transcript.pyannote[306].speaker SPEAKER_01
transcript.pyannote[306].start 1048.05284375
transcript.pyannote[306].end 1053.13221875
transcript.pyannote[307].speaker SPEAKER_02
transcript.pyannote[307].start 1050.36471875
transcript.pyannote[307].end 1053.28409375
transcript.pyannote[308].speaker SPEAKER_02
transcript.pyannote[308].start 1054.02659375
transcript.pyannote[308].end 1054.22909375
transcript.pyannote[309].speaker SPEAKER_02
transcript.pyannote[309].start 1054.66784375
transcript.pyannote[309].end 1062.61596875
transcript.pyannote[310].speaker SPEAKER_03
transcript.pyannote[310].start 1061.78909375
transcript.pyannote[310].end 1062.58221875
transcript.pyannote[311].speaker SPEAKER_03
transcript.pyannote[311].start 1062.61596875
transcript.pyannote[311].end 1062.66659375
transcript.pyannote[312].speaker SPEAKER_02
transcript.pyannote[312].start 1062.66659375
transcript.pyannote[312].end 1064.03346875
transcript.pyannote[313].speaker SPEAKER_03
transcript.pyannote[313].start 1064.03346875
transcript.pyannote[313].end 1064.82659375
transcript.pyannote[314].speaker SPEAKER_03
transcript.pyannote[314].start 1065.94034375
transcript.pyannote[314].end 1074.58034375
transcript.pyannote[315].speaker SPEAKER_03
transcript.pyannote[315].start 1075.57596875
transcript.pyannote[315].end 1082.03909375
transcript.pyannote[316].speaker SPEAKER_03
transcript.pyannote[316].start 1082.52846875
transcript.pyannote[316].end 1082.86596875
transcript.pyannote[317].speaker SPEAKER_03
transcript.pyannote[317].start 1083.52409375
transcript.pyannote[317].end 1084.89096875
transcript.pyannote[318].speaker SPEAKER_03
transcript.pyannote[318].start 1086.20721875
transcript.pyannote[318].end 1086.89909375
transcript.pyannote[319].speaker SPEAKER_03
transcript.pyannote[319].start 1087.67534375
transcript.pyannote[319].end 1089.36284375
transcript.pyannote[320].speaker SPEAKER_03
transcript.pyannote[320].start 1090.20659375
transcript.pyannote[320].end 1091.96159375
transcript.pyannote[321].speaker SPEAKER_03
transcript.pyannote[321].start 1092.28221875
transcript.pyannote[321].end 1094.74596875
transcript.pyannote[322].speaker SPEAKER_03
transcript.pyannote[322].start 1095.33659375
transcript.pyannote[322].end 1097.00721875
transcript.pyannote[323].speaker SPEAKER_03
transcript.pyannote[323].start 1097.81721875
transcript.pyannote[323].end 1102.89659375
transcript.pyannote[324].speaker SPEAKER_03
transcript.pyannote[324].start 1103.31846875
transcript.pyannote[324].end 1105.22534375
transcript.pyannote[325].speaker SPEAKER_03
transcript.pyannote[325].start 1105.61346875
transcript.pyannote[325].end 1106.98034375
transcript.pyannote[326].speaker SPEAKER_03
transcript.pyannote[326].start 1107.73971875
transcript.pyannote[326].end 1113.96659375
transcript.pyannote[327].speaker SPEAKER_02
transcript.pyannote[327].start 1113.96659375
transcript.pyannote[327].end 1114.55721875
transcript.pyannote[328].speaker SPEAKER_02
transcript.pyannote[328].start 1115.80596875
transcript.pyannote[328].end 1129.03596875
transcript.pyannote[329].speaker SPEAKER_03
transcript.pyannote[329].start 1129.03596875
transcript.pyannote[329].end 1129.40721875
transcript.pyannote[330].speaker SPEAKER_02
transcript.pyannote[330].start 1129.40721875
transcript.pyannote[330].end 1129.64346875
transcript.pyannote[331].speaker SPEAKER_03
transcript.pyannote[331].start 1129.64346875
transcript.pyannote[331].end 1136.03909375
transcript.pyannote[332].speaker SPEAKER_03
transcript.pyannote[332].start 1136.54534375
transcript.pyannote[332].end 1138.16534375
transcript.pyannote[333].speaker SPEAKER_03
transcript.pyannote[333].start 1139.90346875
transcript.pyannote[333].end 1146.09659375
transcript.pyannote[334].speaker SPEAKER_02
transcript.pyannote[334].start 1142.08034375
transcript.pyannote[334].end 1142.97471875
transcript.pyannote[335].speaker SPEAKER_03
transcript.pyannote[335].start 1146.95721875
transcript.pyannote[335].end 1150.14659375
transcript.pyannote[336].speaker SPEAKER_03
transcript.pyannote[336].start 1150.88909375
transcript.pyannote[336].end 1154.07846875
transcript.pyannote[337].speaker SPEAKER_03
transcript.pyannote[337].start 1154.77034375
transcript.pyannote[337].end 1156.72784375
transcript.pyannote[338].speaker SPEAKER_03
transcript.pyannote[338].start 1157.36909375
transcript.pyannote[338].end 1160.38971875
transcript.pyannote[339].speaker SPEAKER_03
transcript.pyannote[339].start 1160.84534375
transcript.pyannote[339].end 1163.03909375
transcript.pyannote[340].speaker SPEAKER_01
transcript.pyannote[340].start 1163.03909375
transcript.pyannote[340].end 1178.96909375
transcript.pyannote[341].speaker SPEAKER_03
transcript.pyannote[341].start 1176.65721875
transcript.pyannote[341].end 1176.97784375
transcript.pyannote[342].speaker SPEAKER_03
transcript.pyannote[342].start 1178.96909375
transcript.pyannote[342].end 1182.63096875
transcript.pyannote[343].speaker SPEAKER_01
transcript.pyannote[343].start 1180.82534375
transcript.pyannote[343].end 1181.26409375
transcript.pyannote[344].speaker SPEAKER_01
transcript.pyannote[344].start 1181.38221875
transcript.pyannote[344].end 1182.25971875
transcript.pyannote[345].speaker SPEAKER_01
transcript.pyannote[345].start 1182.63096875
transcript.pyannote[345].end 1184.97659375
transcript.pyannote[346].speaker SPEAKER_03
transcript.pyannote[346].start 1184.97659375
transcript.pyannote[346].end 1185.11159375
transcript.pyannote[347].speaker SPEAKER_01
transcript.pyannote[347].start 1185.11159375
transcript.pyannote[347].end 1185.68534375
transcript.pyannote[348].speaker SPEAKER_03
transcript.pyannote[348].start 1185.68534375
transcript.pyannote[348].end 1194.07221875
transcript.pyannote[349].speaker SPEAKER_01
transcript.pyannote[349].start 1186.68096875
transcript.pyannote[349].end 1187.06909375
transcript.pyannote[350].speaker SPEAKER_01
transcript.pyannote[350].start 1191.45659375
transcript.pyannote[350].end 1193.70096875
transcript.pyannote[351].speaker SPEAKER_01
transcript.pyannote[351].start 1194.07221875
transcript.pyannote[351].end 1205.85096875
transcript.pyannote[352].speaker SPEAKER_03
transcript.pyannote[352].start 1205.85096875
transcript.pyannote[352].end 1206.61034375
transcript.pyannote[353].speaker SPEAKER_01
transcript.pyannote[353].start 1205.91846875
transcript.pyannote[353].end 1206.47534375
transcript.pyannote[354].speaker SPEAKER_01
transcript.pyannote[354].start 1206.61034375
transcript.pyannote[354].end 1206.96471875
transcript.pyannote[355].speaker SPEAKER_03
transcript.pyannote[355].start 1206.96471875
transcript.pyannote[355].end 1208.12909375
transcript.pyannote[356].speaker SPEAKER_03
transcript.pyannote[356].start 1208.41596875
transcript.pyannote[356].end 1212.34784375
transcript.pyannote[357].speaker SPEAKER_03
transcript.pyannote[357].start 1212.95534375
transcript.pyannote[357].end 1227.19784375
transcript.pyannote[358].speaker SPEAKER_02
transcript.pyannote[358].start 1215.53721875
transcript.pyannote[358].end 1216.06034375
transcript.pyannote[359].speaker SPEAKER_03
transcript.pyannote[359].start 1227.70409375
transcript.pyannote[359].end 1233.05346875
transcript.pyannote[360].speaker SPEAKER_03
transcript.pyannote[360].start 1233.35721875
transcript.pyannote[360].end 1236.12471875
transcript.pyannote[361].speaker SPEAKER_03
transcript.pyannote[361].start 1237.22159375
transcript.pyannote[361].end 1239.29721875
transcript.pyannote[362].speaker SPEAKER_03
transcript.pyannote[362].start 1239.78659375
transcript.pyannote[362].end 1242.65534375
transcript.pyannote[363].speaker SPEAKER_03
transcript.pyannote[363].start 1243.54971875
transcript.pyannote[363].end 1249.10159375
transcript.pyannote[364].speaker SPEAKER_03
transcript.pyannote[364].start 1249.54034375
transcript.pyannote[364].end 1251.27846875
transcript.pyannote[365].speaker SPEAKER_03
transcript.pyannote[365].start 1251.63284375
transcript.pyannote[365].end 1254.02909375
transcript.pyannote[366].speaker SPEAKER_01
transcript.pyannote[366].start 1254.02909375
transcript.pyannote[366].end 1265.55471875
transcript.pyannote[367].speaker SPEAKER_01
transcript.pyannote[367].start 1266.09471875
transcript.pyannote[367].end 1267.96784375
transcript.pyannote[368].speaker SPEAKER_03
transcript.pyannote[368].start 1267.96784375
transcript.pyannote[368].end 1268.60909375
transcript.pyannote[369].speaker SPEAKER_01
transcript.pyannote[369].start 1268.60909375
transcript.pyannote[369].end 1268.62596875
transcript.pyannote[370].speaker SPEAKER_03
transcript.pyannote[370].start 1269.25034375
transcript.pyannote[370].end 1273.24971875
transcript.pyannote[371].speaker SPEAKER_03
transcript.pyannote[371].start 1273.78971875
transcript.pyannote[371].end 1288.30221875
transcript.pyannote[372].speaker SPEAKER_01
transcript.pyannote[372].start 1288.47096875
transcript.pyannote[372].end 1290.20909375
transcript.pyannote[373].speaker SPEAKER_01
transcript.pyannote[373].start 1290.56346875
transcript.pyannote[373].end 1291.45784375
transcript.pyannote[374].speaker SPEAKER_00
transcript.pyannote[374].start 1292.18346875
transcript.pyannote[374].end 1294.46159375
transcript.pyannote[375].speaker SPEAKER_00
transcript.pyannote[375].start 1294.86659375
transcript.pyannote[375].end 1296.36846875
transcript.whisperx[0].start 6.091
transcript.whisperx[0].end 21.076
transcript.whisperx[0].text 謝謝主席 麻煩有請主委有請主委 貝殖勳 謝謝黃委員好各位主委好我出自學界 先請過國歌會計畫也幫國歌會省國計畫也處理過學術倫理的案件
transcript.whisperx[1].start 29.454
transcript.whisperx[1].end 58.84
transcript.whisperx[1].text 但我發現這整件事情誇張的程度已經超越我的想像了因為我處理過相關不管計畫的審查還是學倫的案子啊我講一句比較直接的我沒有看過這麼假的啦我為什麼說沒有看過這麼假的啊這件事情發生的時候啊我那時候人離開立法院那因為當職業律師啊我也比較沒有在關心法學界的事情結果竟然
transcript.whisperx[2].start 61.035
transcript.whisperx[2].end 70.884
transcript.whisperx[2].text 等到我們這個注音公司派出去整個法學界我必須老實跟主委講現在是大爆炸我為什麼說大爆炸竟然在自己的學術履歷表上面造假造假這件事情我當然覺得有去追當年這個事情到底是怎麼處理的怎麼會處理成這個樣子
transcript.whisperx[3].start 89.932
transcript.whisperx[3].end 111.024
transcript.whisperx[3].text 教育部的部分我去找教育部國科會的部分我覺得事前就要把它講清楚我相信主委我這幾天連續在追這個案子主委應該有充分準備了當初國科會在處理這個案子的時候法律專業學門七個委員一致決
transcript.whisperx[4].start 118.167
transcript.whisperx[4].end 127.558
transcript.whisperx[4].text 說這個違反學術倫理情節重大結果最後到學倫大會被推翻掉了主委這個過程你掌握了沒有
transcript.whisperx[5].start 129.635
transcript.whisperx[5].end 157.187
transcript.whisperx[5].text 我了解當初在國科會的學術倫理委員會裡面討論我們都是依程序在進行當初不是我負責但是依程序進行委員討論表決是沒有到三分之二差一票嘛對不對就差一點但是當然委員也都知道說我這樣講好了啦七位
transcript.whisperx[6].start 160.458
transcript.whisperx[6].end 187.427
transcript.whisperx[6].text 在法律學門裡面可以在這個調查小組裡面的成員其中兩個還被民進黨提當大法官這七位在法學界裡面有一定的學術分量這我相信七位一自覺被學倫大會給推翻掉我老實說我是聞所未聞我真的聞所未聞因為這整件事情太離譜了
transcript.whisperx[7].start 188.806
transcript.whisperx[7].end 215.977
transcript.whisperx[7].text 太曲折了太離奇了這七位在法學界裡面可以說是重量級的學者做出一致的決議那其實這麼簡單的事情還要七個重量級的法學界的學者做出一致的決議其實也沒必要啦大概問一個大學生就知道了啦你自己哪所學校畢業的你不知道哪個系所畢業的你不知道
transcript.whisperx[8].start 217.011
transcript.whisperx[8].end 220.232
transcript.whisperx[8].text 在履歷表上面啊可以這樣公然造假但離譜的事情是什麼離譜的事情是我們當初的科技部所表達的立場是這個學倫大會不成立沒有達到三分之二差一票我簡單問一個問題啊在學倫大會裡面有沒有基本的利益迴避原則
transcript.whisperx[9].start 246.789
transcript.whisperx[9].end 256.67
transcript.whisperx[9].text 有沒有利益迴避原則是所有的審查一定要遵循的原則嗎當初的學倫大會成員有沒有違反利益迴避原則的
transcript.whisperx[10].start 258.32
transcript.whisperx[10].end 279.686
transcript.whisperx[10].text 當初就我所知一定都做過這種審查真的嗎 好來一定有 但是這個所謂的審查就是說當事人要簽切結書是 你們切結書長什麼樣子不用給我個人寫的切結書啦個人的切結書有簽名的我都尊重啦公版的切結書可以給我看嗎
transcript.whisperx[11].start 280.951
transcript.whisperx[11].end 302.139
transcript.whisperx[11].text 這一部分我到公版的切結書就是空白的嘛就是沒有簽名那一種嘛你要切結上述事項我沒有違反利益衝突迴避原則的那個空白的公版切結書可以給我嗎好 我們請好 我今天在這邊質詢公開檢舉啊裡面有人看不下去啊直接跟我投訴啊裡面
transcript.whisperx[12].start 305.458
transcript.whisperx[12].end 333.841
transcript.whisperx[12].text 有一個學倫審理委員會大會的委員是一個律師啦怎麼學倫會去找律師來當委員我也是搞不太清楚啊但沒有關係啦我尊重你們的篩選啊雖然作為一位法律系的教授中研院的研究員學倫大會這種level的東西去找律師啊來當委員我已經覺得很扯了結果你知道嗎
transcript.whisperx[13].start 335.872
transcript.whisperx[13].end 362.601
transcript.whisperx[13].text 這個律師啊 學倫大會參與的這個律師他就是那個當事人擔任董事那家公司的訴訟代理人知道這件事嗎可以 可以這樣嗎我再簡單的描述一下是什麼法律關係的狀態啊這個當事人就是江雅琪啦是台電的董事結果學倫
transcript.whisperx[14].start 365.953
transcript.whisperx[14].end 385.298
transcript.whisperx[14].text 大會裡面的委員而且當初是主導推翻法律學門決議的那個委員是拿台電的錢在幫台電當法律顧問處理訴訟的人他看到當事人這個學輪大會被指責的人是我的客戶的董事我的國科會是出了什麼事情啊
transcript.whisperx[15].start 397.145
transcript.whisperx[15].end 415.519
transcript.whisperx[15].text 那個應該是要作為全國學者的表率耶學術倫理的標竿耶結果學人大會去找了一個被評判的人當董事公司的訴訟代理人來這個有沒有違反利益衝突迴避原則來 請教主委
transcript.whisperx[16].start 417.676
transcript.whisperx[16].end 442.472
transcript.whisperx[16].text 我們國會定的學術倫理在審查委員要迴避的這些原則應該當初都是非常明確啦但是我請我們那個主秘他現在監我們的那個好拉請回答這個召集人來回答一下
transcript.whisperx[17].start 443.612
transcript.whisperx[17].end 465.9
transcript.whisperx[17].text 報告委員我們在那個學倫審議料理第17點裡面有規定要相關迴避的事項但是委員剛剛提到的那個資訊我們那時候是沒有獲得這樣一個資訊沒有獲得這樣的資訊 奇怪了那位學倫委員他當哪一家公司的訴訟代理人他自己不知道我的當事人是誰我不知道然後姜雅琪在台電當董事我也不知道可以這樣混喔
transcript.whisperx[18].start 473.035
transcript.whisperx[18].end 474.216
transcript.whisperx[18].text 可以這樣搞喔這丟臉啦把當初科技部的臉都丟光啦我這幾天收到我多少以前法學界的朋友傳來給我的訊息啊說怎麼會扯成這個樣子啊找一個訴訟代理人來
transcript.whisperx[19].start 496.381
transcript.whisperx[19].end 507.391
transcript.whisperx[19].text 領前的訴訟代理人去推翻七位法學教授所做違反學倫的認定主委這件事不需要檢討嗎如果有違反學術倫理的事情有明確的證據那我們當然也許要再檢討需要多久
transcript.whisperx[20].start 526.205
transcript.whisperx[20].end 546.17
transcript.whisperx[20].text 這個我現在是給你時間啦我本來以為你充分已經很準備已經很充足了啦那顯然還沒有掌握全部的狀況嘛那你說你要再回去調查OK我給你時間需要多久不要跟我說要三個月再一個月好了蛤 還要一個月喔兩個禮拜可以嗎
transcript.whisperx[21].start 547.383
transcript.whisperx[21].end 572.428
transcript.whisperx[21].text 一個月好了啦 因為好 一個月 反正立法院研會啊我給你一個月今年夏天我等著你這件事情我一定會追到底我雖然雖然已經沒有在法學界了但出現這種荒腔走板離譜至極的事情我一定會追究責任到底好 謝謝委員之前科技部啊知道這個事情馬蜂窩捅大了你知道發生什麼事嗎
transcript.whisperx[22].start 577.296
transcript.whisperx[22].end 602.53
transcript.whisperx[22].text 發生的事情是啥學倫大會沒有遵守利益關係迴避的原則推翻了法律專業學門從由召集人所自己召集的調查小組的決議結果跑出來找綠媒特意幫他洗地說他被汙止是設假的他哪有被汙止設假你床頭大會都是假的啊
transcript.whisperx[23].start 605.987
transcript.whisperx[23].end 626.677
transcript.whisperx[23].text 不是有這種護航的事情出來大學生都有辦法判斷結果學倫大會掩飾成這個樣子護航成這個樣子還讓人家出來說哇 科技部啊 還我清白啦結果那時候的科技部部長看到知識體大
transcript.whisperx[24].start 628.294
transcript.whisperx[24].end 650.749
transcript.whisperx[24].text 看到這個新聞出來了以後趕快發一個聲明啊說沒有沒有沒有這個學歷是造假的傷害學術信譽可能影響學術資源分配的公正性事後趕快發聲明稿我看了科技部後來發的那個聲明稿我看了就我不曉得是可笑還是可悲連科技部自己都知道有問題
transcript.whisperx[25].start 656.205
transcript.whisperx[25].end 658.889
transcript.whisperx[25].text 趕快發一個聲明啦出來洗地當初的錯誤一直延續到今天有一些是總統府該負的責任
transcript.whisperx[26].start 670.064
transcript.whisperx[26].end 685.337
transcript.whisperx[26].text 總統府副秘書長跟我說他們會回去處理給我一個回覆我到目前為止沒有接到回覆有一些是教育部該處理的我昨天已經質詢了教育部部長會回去處理那有一些
transcript.whisperx[27].start 686.727
transcript.whisperx[27].end 710.036
transcript.whisperx[27].text 是國科會作為接任科技部業務的主管機關我知道不是在您任內發生的那但是這件事情一定要處理那順便講第二個層次從這個個案裡面我所看到的抽象性的問題什麼叫抽象性的問題啊主委我簡單的花一點時間給你解釋因為當初啊這一個人
transcript.whisperx[28].start 715.393
transcript.whisperx[28].end 739.007
transcript.whisperx[28].text 吹哨者他要檢舉這整件事情的時候他要確認說他交給科技部的那個履歷表上面也造假因為他看到在大學端申請的資料是假的他要確認科技部的是不是也是假的所以呢他就要去找他給科技部的資料給科技部的資料科技部提供
transcript.whisperx[29].start 740.04
transcript.whisperx[29].end 759.382
transcript.whisperx[29].text 所有計畫的申請人一個選項就是你可以選擇不要公開個人資料的主要學歷我其實有一點看不太懂我們科技部讓國科會計畫的申請人可以拒絕公開自己的最高學歷理由是什麼
transcript.whisperx[30].start 761.853
transcript.whisperx[30].end 782.964
transcript.whisperx[30].text 我們第一就是尊重我們所有的學者他要不要公開包含電話號碼電話號碼 柱子要不要公開這個我覺得都要尊重啊這個沒有問題啊但是主要最高學歷是他的credential
transcript.whisperx[31].start 783.976
transcript.whisperx[31].end 812.839
transcript.whisperx[31].text 是他的credential欸是那個我今天如果請教主委學歷喔你的最高學歷你會跟我說這個是你的隱私嗎不是學歷有時候那個學者公開的時候是他的畢業的到底是博士碩士還是學士還有他畢業的學校是是是有時候是這樣那我們也同意他不見得會公佈到他畢業的這個就是我的問題嘛院系所不見得啦你要來拿國家的資源
transcript.whisperx[32].start 813.82
transcript.whisperx[32].end 828.571
transcript.whisperx[32].text 然後你要展示你的最高學歷是什麼這個到底會侵害到什麼權益我聽不懂啦不是啦我們學者公開說他不見得會寫他的畢業的系索他到學校一定會寫啦博士說是
transcript.whisperx[33].start 830.173
transcript.whisperx[33].end 856.915
transcript.whisperx[33].text 你說學校一定會寫嘛一定會寫學校嘛哪個學校畢業一定要寫嘛不然這個主委你是學界出身的嗎我學界出身所以是很普遍的所以你應該很熟嘛我很熟你有審過任何的application沒有提供最高學歷是什麼的嗎審查委員一定看得到啦審查委員一定看得到讓他公開給大眾的不見其他社會大眾不用知道不一定啦 不一定要知道學生也不用知道
transcript.whisperx[34].start 857.807
transcript.whisperx[34].end 880.411
transcript.whisperx[34].text 不需要啊 因為他申請的是國科會的研究計畫當然我們的委員一定都會看到他的資料至於那個學者要不要公開是他自己來決定我先講一下啦 主委你有你的立場跟看法我的立場跟看法在這邊也表白得很清楚了到底誰的立場有道理
transcript.whisperx[35].start 881.874
transcript.whisperx[35].end 902.131
transcript.whisperx[35].text 全國的學術界所有的學子大家都心裡有一把尺第二個層次的問題他去跟國科會申請申請什麼申請政府資訊公開他選擇不公開嘛但是一般的社會大眾可以按照政府資訊公開法向政府機關申請要公開嘛我昨天問個人資料保護委員會籌備處的主任
transcript.whisperx[36].start 914.575
transcript.whisperx[36].end 928.452
transcript.whisperx[36].text 說這個依照申請為什麼可以不用公開他說這個是資料保存機關意思就是當時的科技部他們所做的決定但我看到有關於
transcript.whisperx[37].start 931.297
transcript.whisperx[37].end 944.675
transcript.whisperx[37].text 政府資訊公開法的規定我已經依照政府資訊公開法跟科技部或者是現在的國會申請要公開拒絕公開是依照政府資訊公開法的哪一條
transcript.whisperx[38].start 947.984
transcript.whisperx[38].end 965.335
transcript.whisperx[38].text 主委你聽得懂我的意思嗎剛剛我上一個層次跟你講的是學術界大家評價的問題現在我跟你回到法規層面的問題法規層面的問題你們當初我後來把公文跟吹哨者要了公文來當時的部長叫吳政宗
transcript.whisperx[39].start 971.005
transcript.whisperx[39].end 999.429
transcript.whisperx[39].text 他說我部分提供限制使用但我不提供他主要學歷的資訊那我看了半天紅框我框起來了這是科技部當初的公文人家依照政府資訊公開法申請了我們的科技部說我們不提供他主要學歷的資訊那我現在問題就來了回到政府資訊公開法不提供主要學歷的資訊他的法規依據是什麼
transcript.whisperx[40].start 1002.897
transcript.whisperx[40].end 1021.857
transcript.whisperx[40].text 如果這個牽涉到國會當初讓學者來填他自己的履歷我們也允許他可以決定哪些要公開哪些不公開我這樣講好了啦如果這個是可以自己決定的事啊我們政府資訊公開法直接丟到垃圾桶裡面去了啦
transcript.whisperx[41].start 1023.678
transcript.whisperx[41].end 1046.192
transcript.whisperx[41].text 政府資訊公開法裡面就會有一款啊說當事人不想公開就不公開啊不是 那你如果說像各自的部分政府也無權幫民眾所以我還要跟你回到法律的部分嘛因為你現在用common sense在跟我講這件事情我很難跟你討論啊所以我們就回到政府資訊公開法你是依照第幾條第幾款的規定不公開
transcript.whisperx[42].start 1048.066
transcript.whisperx[42].end 1073.895
transcript.whisperx[42].text 好 那我 因為我本身不是寫法沒關係 可以可以 來 請請請來 請報告委員 就是如果照政府資訊公開法現在是第18條的第6款其實就是剛剛我們主委提到來來來 我們把第6款唸一下政府資訊屬於下列各款情況之一因限制公開或不予提供你剛剛講的第6款來 第6款法條文字我唸給你看
transcript.whisperx[43].start 1075.686
transcript.whisperx[43].end 1089.095
transcript.whisperx[43].text 公開或提供有侵害個人隱私職業上秘密或著作權人的公開發表者但對公益有必要不再實現我把法條弄給你看
transcript.whisperx[44].start 1090.273
transcript.whisperx[44].end 1113.604
transcript.whisperx[44].text 我們在討論法律的時候基本上分兩個結構一個結構符不符合本文的規定如果符合本文的規定再看有沒有但書的例外這個很基本啦我先跟你討論主文的規定要求他公開他的學歷是會侵害到他的隱私職業上秘密或著作權人的公開發表權嗎
transcript.whisperx[45].start 1115.934
transcript.whisperx[45].end 1137.791
transcript.whisperx[45].text 報告委員 就剛剛我們主委提到就是我們剛剛的前提那個問題就是他為什麼可以選擇公開或不公開其實就是因為他的各種學歷會牽涉到個人的隱私隱私嘛 好 沒有關係啦你今天在國會裡面的詢答都會成為立法院公報的記錄那第二個 對公共利益沒有必要嗎
transcript.whisperx[46].start 1142.292
transcript.whisperx[46].end 1153.864
transcript.whisperx[46].text 如果資料可以這樣遮影的話那我簡單這樣講啦我以後提供給國歌會的我愛怎麼寫就怎麼寫啊我愛怎麼寫就怎麼寫啊工作沒有辦法監督啊
transcript.whisperx[47].start 1154.827
transcript.whisperx[47].end 1178.086
transcript.whisperx[47].text 因為我可以選擇不公開啊我跟國會申請國會也不會給我啊沒有人會知道工作沒有辦法監督上面寫的是不是假的嘛報告員不會這樣子啦我們現在如果說像他這樣填報可能與事實不符的話最後他自己還是要負擔這些後果嘛沒有啊他最後什麼後果都沒負擔啊
transcript.whisperx[48].start 1178.726
transcript.whisperx[48].end 1206.283
transcript.whisperx[48].text 你們的學倫大會說他不用負擔任何後果啊我有說錯嗎我們有有請他更正了啦所以呢我們現在國科會跟科技部的標準是被我們抓到以後事後更正就好是這樣嗎委員剛剛講了說那個公眾力的事情那我們的看法可能會不太一樣啊如果說覺得說依照公眾力要公這個我們可以在法庭判決這個我我們國科不是啦我就簡單講啦
transcript.whisperx[49].start 1208.524
transcript.whisperx[49].end 1234.954
transcript.whisperx[49].text 我們目前行政機關對政府資訊公開法的運作保守到令人難以想像是從美國FOIA抄來的抄來以後運作到保守難以想像但是在欺負什麼事情欺負一般的人沒有那個勞力時間費用去跟政府打行政訴訟我簡單講就是這樣啦非常少數的人願意花那個勞力時間費用
transcript.whisperx[50].start 1237.287
transcript.whisperx[50].end 1265.328
transcript.whisperx[50].text 去跟政府打官司 為什麼因為政府打官司 政府的律師誰出錢是納稅人出錢我去跟政府打官司 誰要出錢我自己要出錢這是為什麼我們各自有關於政府資訊公開在行政法院的訴訟案件量那麼低如果因為當事人這樣的這個作為影響到公眾利益有人要來提出訴訟國會一定會配合的啦
transcript.whisperx[51].start 1266.181
transcript.whisperx[51].end 1268.388
transcript.whisperx[51].text 我這樣講好了啦齁 這個是吹哨者
transcript.whisperx[52].start 1269.298
transcript.whisperx[52].end 1291.272
transcript.whisperx[52].text 到處跟你們申請的不會的公文也在那邊了我只拜託主委回去啦好好重新思考一下回去好好重新思考一下因為我們真的在意的是什麼真的在意的是台灣學術界的integrity跟reputation這我同意好 謝謝好 謝謝委員謝謝黃國昌委員質詢官員請回座