iVOD / 157452

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4b9db3dc7042177a7c56f39b0c086dd1aab8b86039943efcf8386334ca12ce8907ad72fc102174e05ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃國昌
委員發言時間 09:14:40 - 09:27:23
影片長度 763
會議時間 2024-11-27T09:00:00+08:00
會議名稱 立法院第11屆第2會期司法及法制委員會第16次全體委員會議(事由:一、審查114年度中央政府總預算案關於考試院及所屬主管收支部分。 二、審查114年度中央政府總預算案附屬單位預算非營業部分關於考試院考選部主管「考選業務基金」收支部分。 三、審查114年度中央政府總預算案附屬單位預算非營業部分關於考試院銓敘部主管「公務人員退休撫卹基金」收支部分。 四、審查114年度中央政府總預算案附屬單位預算非營業部分關於考試院銓敘部主管「公教人員個人專戶制退撫儲金基金」收支部分。 五、審查及處理113年度中央政府總預算關於考試院主管預算凍結項目共4案。 【第一案至第四案僅進行詢答;預算提案於12月3日中午12時截止收件】 【11月25日及27日兩天一次會】)
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 6.76409375
transcript.pyannote[0].end 9.26159375
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 10.05471875
transcript.pyannote[1].end 10.88159375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 11.82659375
transcript.pyannote[2].end 12.72096875
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 12.82221875
transcript.pyannote[3].end 14.94846875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 15.70784375
transcript.pyannote[4].end 16.95659375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 16.85534375
transcript.pyannote[5].end 18.34034375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 18.34034375
transcript.pyannote[6].end 18.35721875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 18.35721875
transcript.pyannote[7].end 19.06596875
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 26.45721875
transcript.pyannote[8].end 29.08971875
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 30.27096875
transcript.pyannote[9].end 31.09784375
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 31.51971875
transcript.pyannote[10].end 33.88221875
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 34.54034375
transcript.pyannote[11].end 39.16409375
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 39.65346875
transcript.pyannote[12].end 43.14659375
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 43.34909375
transcript.pyannote[13].end 48.90096875
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 49.49159375
transcript.pyannote[14].end 55.44846875
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 55.53284375
transcript.pyannote[15].end 62.62034375
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 63.53159375
transcript.pyannote[16].end 64.42596875
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 65.05034375
transcript.pyannote[17].end 68.57721875
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 69.04971875
transcript.pyannote[18].end 71.76659375
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 72.52596875
transcript.pyannote[19].end 93.34971875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 93.65346875
transcript.pyannote[20].end 95.10471875
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 95.83034375
transcript.pyannote[21].end 106.61346875
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 107.35596875
transcript.pyannote[22].end 115.32096875
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 115.81034375
transcript.pyannote[23].end 118.45971875
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 118.72971875
transcript.pyannote[24].end 127.35284375
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 129.09096875
transcript.pyannote[25].end 133.54596875
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 134.11971875
transcript.pyannote[26].end 140.22846875
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 140.66721875
transcript.pyannote[27].end 147.51846875
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 148.22721875
transcript.pyannote[28].end 150.80909375
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 151.36596875
transcript.pyannote[29].end 152.22659375
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 153.00284375
transcript.pyannote[30].end 157.52534375
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 158.21721875
transcript.pyannote[31].end 162.26721875
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 162.73971875
transcript.pyannote[32].end 166.19909375
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 166.72221875
transcript.pyannote[33].end 169.82721875
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 169.96221875
transcript.pyannote[34].end 173.38784375
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 174.01221875
transcript.pyannote[35].end 180.03659375
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 180.57659375
transcript.pyannote[36].end 189.77346875
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 190.63409375
transcript.pyannote[37].end 192.10221875
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 192.74346875
transcript.pyannote[38].end 192.76034375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 192.76034375
transcript.pyannote[39].end 192.77721875
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 192.77721875
transcript.pyannote[40].end 194.31284375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 194.31284375
transcript.pyannote[41].end 194.34659375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 194.61659375
transcript.pyannote[42].end 194.63346875
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 194.63346875
transcript.pyannote[43].end 195.08909375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 194.66721875
transcript.pyannote[44].end 195.89909375
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 195.57846875
transcript.pyannote[45].end 197.16471875
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 197.89034375
transcript.pyannote[46].end 198.46409375
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 199.13909375
transcript.pyannote[47].end 201.11346875
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 201.51846875
transcript.pyannote[48].end 204.06659375
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 204.38721875
transcript.pyannote[49].end 207.74534375
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 208.18409375
transcript.pyannote[50].end 209.46659375
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 210.12471875
transcript.pyannote[51].end 211.94721875
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 212.11596875
transcript.pyannote[52].end 213.85409375
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 214.39409375
transcript.pyannote[53].end 216.67221875
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 218.07284375
transcript.pyannote[54].end 222.61221875
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 223.06784375
transcript.pyannote[55].end 224.99159375
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 225.59909375
transcript.pyannote[56].end 227.97846875
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 229.37909375
transcript.pyannote[57].end 231.35346875
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 232.50096875
transcript.pyannote[58].end 233.86784375
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 234.37409375
transcript.pyannote[59].end 240.17909375
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 241.37721875
transcript.pyannote[60].end 245.78159375
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 247.94159375
transcript.pyannote[61].end 252.61596875
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 253.22346875
transcript.pyannote[62].end 253.86471875
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 255.01221875
transcript.pyannote[63].end 272.05596875
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 272.20784375
transcript.pyannote[64].end 276.37596875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 276.37596875
transcript.pyannote[65].end 276.44346875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 276.62909375
transcript.pyannote[66].end 282.34971875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 282.60284375
transcript.pyannote[67].end 292.55909375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 290.48346875
transcript.pyannote[68].end 290.51721875
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 290.51721875
transcript.pyannote[69].end 291.96846875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 292.77846875
transcript.pyannote[70].end 306.34596875
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 292.81221875
transcript.pyannote[71].end 294.92159375
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 295.52909375
transcript.pyannote[72].end 296.96346875
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 306.05909375
transcript.pyannote[73].end 313.14659375
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 313.72034375
transcript.pyannote[74].end 313.77096875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 313.77096875
transcript.pyannote[75].end 318.78284375
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 313.78784375
transcript.pyannote[76].end 314.26034375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 319.03596875
transcript.pyannote[77].end 323.81159375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 324.70596875
transcript.pyannote[78].end 325.73534375
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 325.73534375
transcript.pyannote[79].end 325.75221875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 326.24159375
transcript.pyannote[80].end 326.25846875
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 326.25846875
transcript.pyannote[81].end 327.25409375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 327.84471875
transcript.pyannote[82].end 327.86159375
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 327.86159375
transcript.pyannote[83].end 328.43534375
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 329.11034375
transcript.pyannote[84].end 331.79346875
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 332.28284375
transcript.pyannote[85].end 332.65409375
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 333.29534375
transcript.pyannote[86].end 334.79721875
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 335.03346875
transcript.pyannote[87].end 335.59034375
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 335.97846875
transcript.pyannote[88].end 337.29471875
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 337.71659375
transcript.pyannote[89].end 338.12159375
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 339.16784375
transcript.pyannote[90].end 340.70346875
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 341.31096875
transcript.pyannote[91].end 344.58471875
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 345.04034375
transcript.pyannote[92].end 347.57159375
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 348.21284375
transcript.pyannote[93].end 355.41846875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 357.79784375
transcript.pyannote[94].end 363.31596875
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 363.61971875
transcript.pyannote[95].end 367.58534375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 368.32784375
transcript.pyannote[96].end 368.39534375
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 368.39534375
transcript.pyannote[97].end 371.12909375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 371.56784375
transcript.pyannote[98].end 375.02721875
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 376.12409375
transcript.pyannote[99].end 389.11784375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 391.73346875
transcript.pyannote[100].end 392.13846875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 392.94846875
transcript.pyannote[101].end 397.26846875
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 396.72846875
transcript.pyannote[102].end 401.75721875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 397.97721875
transcript.pyannote[103].end 399.02346875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 399.44534375
transcript.pyannote[104].end 400.69409375
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 401.97659375
transcript.pyannote[105].end 402.75284375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 402.06096875
transcript.pyannote[106].end 404.38971875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 404.64284375
transcript.pyannote[107].end 405.79034375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 406.93784375
transcript.pyannote[108].end 408.23721875
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 407.98409375
transcript.pyannote[109].end 409.57034375
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 410.93721875
transcript.pyannote[110].end 411.64596875
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 413.19846875
transcript.pyannote[111].end 414.34596875
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 415.81409375
transcript.pyannote[112].end 418.12596875
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 419.02034375
transcript.pyannote[113].end 420.38721875
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 420.94409375
transcript.pyannote[114].end 422.58096875
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 423.55971875
transcript.pyannote[115].end 424.15034375
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 424.92659375
transcript.pyannote[116].end 425.83784375
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 426.46221875
transcript.pyannote[117].end 427.74471875
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 428.53784375
transcript.pyannote[118].end 429.90471875
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 430.51221875
transcript.pyannote[119].end 431.74409375
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 432.21659375
transcript.pyannote[120].end 434.95034375
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 434.96721875
transcript.pyannote[121].end 434.98409375
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 435.16971875
transcript.pyannote[122].end 436.62096875
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 436.85721875
transcript.pyannote[123].end 439.47284375
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 440.06346875
transcript.pyannote[124].end 441.02534375
transcript.pyannote[125].speaker SPEAKER_03
transcript.pyannote[125].start 441.32909375
transcript.pyannote[125].end 443.94471875
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 444.56909375
transcript.pyannote[126].end 445.73346875
transcript.pyannote[127].speaker SPEAKER_03
transcript.pyannote[127].start 445.98659375
transcript.pyannote[127].end 447.21846875
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 447.53909375
transcript.pyannote[128].end 448.31534375
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 448.90596875
transcript.pyannote[129].end 449.86784375
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 450.44159375
transcript.pyannote[130].end 451.96034375
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 452.41596875
transcript.pyannote[131].end 454.25534375
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 454.82909375
transcript.pyannote[132].end 456.80346875
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 457.12409375
transcript.pyannote[133].end 459.55409375
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 459.95909375
transcript.pyannote[134].end 461.12346875
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 461.66346875
transcript.pyannote[135].end 465.52784375
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 466.00034375
transcript.pyannote[136].end 466.74284375
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 467.16471875
transcript.pyannote[137].end 468.14346875
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 468.58221875
transcript.pyannote[138].end 469.40909375
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 470.21909375
transcript.pyannote[139].end 471.13034375
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 471.87284375
transcript.pyannote[140].end 473.03721875
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 473.69534375
transcript.pyannote[141].end 477.82971875
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 478.70721875
transcript.pyannote[142].end 479.77034375
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 480.20909375
transcript.pyannote[143].end 481.08659375
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 482.11596875
transcript.pyannote[144].end 488.52846875
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 489.38909375
transcript.pyannote[145].end 490.31721875
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 490.89096875
transcript.pyannote[146].end 498.40034375
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 498.88971875
transcript.pyannote[147].end 499.69971875
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 501.11721875
transcript.pyannote[148].end 502.78784375
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 503.34471875
transcript.pyannote[149].end 503.96909375
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 504.64409375
transcript.pyannote[150].end 506.24721875
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 507.47909375
transcript.pyannote[151].end 508.47471875
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 509.04846875
transcript.pyannote[152].end 528.13409375
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 528.91034375
transcript.pyannote[153].end 532.58909375
transcript.pyannote[154].speaker SPEAKER_03
transcript.pyannote[154].start 533.44971875
transcript.pyannote[154].end 534.63096875
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 535.28909375
transcript.pyannote[155].end 536.72346875
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 537.46596875
transcript.pyannote[156].end 538.63034375
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 539.32221875
transcript.pyannote[157].end 540.23346875
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 540.85784375
transcript.pyannote[158].end 541.83659375
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 542.07284375
transcript.pyannote[159].end 544.77284375
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 544.97534375
transcript.pyannote[160].end 545.97096875
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 546.56159375
transcript.pyannote[161].end 562.08659375
transcript.pyannote[162].speaker SPEAKER_03
transcript.pyannote[162].start 562.44096875
transcript.pyannote[162].end 564.38159375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 566.03534375
transcript.pyannote[163].end 568.00971875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 568.04346875
transcript.pyannote[164].end 568.07721875
transcript.pyannote[165].speaker SPEAKER_03
transcript.pyannote[165].start 568.07721875
transcript.pyannote[165].end 570.38909375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 571.68846875
transcript.pyannote[166].end 571.92471875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 572.48159375
transcript.pyannote[167].end 573.54471875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 573.94971875
transcript.pyannote[168].end 576.66659375
transcript.pyannote[169].speaker SPEAKER_03
transcript.pyannote[169].start 576.56534375
transcript.pyannote[169].end 581.18909375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 581.62784375
transcript.pyannote[170].end 583.34909375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 584.00721875
transcript.pyannote[171].end 585.67784375
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 585.67784375
transcript.pyannote[172].end 586.23471875
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 586.63971875
transcript.pyannote[173].end 589.59284375
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 589.67721875
transcript.pyannote[174].end 604.71284375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 604.83096875
transcript.pyannote[175].end 610.80471875
transcript.pyannote[176].speaker SPEAKER_03
transcript.pyannote[176].start 609.40409375
transcript.pyannote[176].end 610.58534375
transcript.pyannote[177].speaker SPEAKER_03
transcript.pyannote[177].start 611.02409375
transcript.pyannote[177].end 613.26846875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 611.73284375
transcript.pyannote[178].end 612.12096875
transcript.pyannote[179].speaker SPEAKER_03
transcript.pyannote[179].start 613.38659375
transcript.pyannote[179].end 615.22596875
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 613.52159375
transcript.pyannote[180].end 614.02784375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 615.73221875
transcript.pyannote[181].end 619.79909375
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 619.17471875
transcript.pyannote[182].end 634.54784375
transcript.pyannote[183].speaker SPEAKER_03
transcript.pyannote[183].start 634.71659375
transcript.pyannote[183].end 635.89784375
transcript.pyannote[184].speaker SPEAKER_03
transcript.pyannote[184].start 636.30284375
transcript.pyannote[184].end 637.73721875
transcript.pyannote[185].speaker SPEAKER_03
transcript.pyannote[185].start 638.05784375
transcript.pyannote[185].end 640.21784375
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 640.92659375
transcript.pyannote[186].end 641.90534375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 643.08659375
transcript.pyannote[187].end 643.99784375
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 644.31846875
transcript.pyannote[188].end 648.72284375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 646.79909375
transcript.pyannote[189].end 648.87471875
transcript.pyannote[190].speaker SPEAKER_03
transcript.pyannote[190].start 648.87471875
transcript.pyannote[190].end 648.95909375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 648.95909375
transcript.pyannote[191].end 648.97596875
transcript.pyannote[192].speaker SPEAKER_03
transcript.pyannote[192].start 648.97596875
transcript.pyannote[192].end 649.07721875
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 649.07721875
transcript.pyannote[193].end 649.19534375
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 649.19534375
transcript.pyannote[194].end 649.21221875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 649.21221875
transcript.pyannote[195].end 649.24596875
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 649.60034375
transcript.pyannote[196].end 649.61721875
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 649.61721875
transcript.pyannote[197].end 650.78159375
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 650.78159375
transcript.pyannote[198].end 650.89971875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 650.89971875
transcript.pyannote[199].end 650.91659375
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 650.91659375
transcript.pyannote[200].end 651.03471875
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 651.03471875
transcript.pyannote[201].end 651.05159375
transcript.pyannote[202].speaker SPEAKER_03
transcript.pyannote[202].start 651.05159375
transcript.pyannote[202].end 651.10221875
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 651.10221875
transcript.pyannote[203].end 651.64221875
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 651.70971875
transcript.pyannote[204].end 653.44784375
transcript.pyannote[205].speaker SPEAKER_03
transcript.pyannote[205].start 653.75159375
transcript.pyannote[205].end 659.45534375
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 659.45534375
transcript.pyannote[206].end 664.12971875
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 662.42534375
transcript.pyannote[207].end 666.59346875
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 666.59346875
transcript.pyannote[208].end 671.62221875
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 670.18784375
transcript.pyannote[209].end 677.10659375
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 672.39846875
transcript.pyannote[210].end 673.74846875
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 675.25034375
transcript.pyannote[211].end 675.67221875
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 677.22471875
transcript.pyannote[212].end 684.97034375
transcript.pyannote[213].speaker SPEAKER_03
transcript.pyannote[213].start 681.29159375
transcript.pyannote[213].end 683.92409375
transcript.pyannote[214].speaker SPEAKER_03
transcript.pyannote[214].start 684.75096875
transcript.pyannote[214].end 691.90596875
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 692.15909375
transcript.pyannote[215].end 693.47534375
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 693.91409375
transcript.pyannote[216].end 698.50409375
transcript.pyannote[217].speaker SPEAKER_03
transcript.pyannote[217].start 699.07784375
transcript.pyannote[217].end 708.44346875
transcript.pyannote[218].speaker SPEAKER_03
transcript.pyannote[218].start 708.56159375
transcript.pyannote[218].end 715.83471875
transcript.pyannote[219].speaker SPEAKER_03
transcript.pyannote[219].start 716.34096875
transcript.pyannote[219].end 717.75846875
transcript.pyannote[220].speaker SPEAKER_03
transcript.pyannote[220].start 718.31534375
transcript.pyannote[220].end 720.01971875
transcript.pyannote[221].speaker SPEAKER_03
transcript.pyannote[221].start 720.55971875
transcript.pyannote[221].end 728.72721875
transcript.pyannote[222].speaker SPEAKER_03
transcript.pyannote[222].start 729.11534375
transcript.pyannote[222].end 731.05596875
transcript.pyannote[223].speaker SPEAKER_03
transcript.pyannote[223].start 731.44409375
transcript.pyannote[223].end 736.16909375
transcript.pyannote[224].speaker SPEAKER_03
transcript.pyannote[224].start 736.74284375
transcript.pyannote[224].end 738.63284375
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 739.56096875
transcript.pyannote[225].end 740.38784375
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 740.97846875
transcript.pyannote[226].end 741.23159375
transcript.pyannote[227].speaker SPEAKER_03
transcript.pyannote[227].start 741.43409375
transcript.pyannote[227].end 742.59846875
transcript.pyannote[228].speaker SPEAKER_03
transcript.pyannote[228].start 742.86846875
transcript.pyannote[228].end 744.10034375
transcript.pyannote[229].speaker SPEAKER_03
transcript.pyannote[229].start 744.99471875
transcript.pyannote[229].end 746.15909375
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 746.98596875
transcript.pyannote[230].end 748.15034375
transcript.pyannote[231].speaker SPEAKER_03
transcript.pyannote[231].start 749.19659375
transcript.pyannote[231].end 750.81659375
transcript.pyannote[232].speaker SPEAKER_03
transcript.pyannote[232].start 750.88409375
transcript.pyannote[232].end 752.09909375
transcript.pyannote[233].speaker SPEAKER_03
transcript.pyannote[233].start 752.31846875
transcript.pyannote[233].end 753.82034375
transcript.pyannote[234].speaker SPEAKER_03
transcript.pyannote[234].start 754.10721875
transcript.pyannote[234].end 758.02221875
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 758.91659375
transcript.pyannote[235].end 761.70096875
transcript.pyannote[236].speaker SPEAKER_03
transcript.pyannote[236].start 761.86971875
transcript.pyannote[236].end 763.43909375
transcript.whisperx[0].start 7.064
transcript.whisperx[0].end 12.348
transcript.whisperx[0].text 三、審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[1].start 30.322
transcript.whisperx[1].end 48.325
transcript.whisperx[1].text 我們在2019年透過考試院組織法大幅縮減考試委員的名額,那個時候我有參與修法。修法的意旨是認為考試院必須要受審,以考試院所掌管的業務竟然要19名考試委員,是太誇張了。
transcript.whisperx[2].start 49.777
transcript.whisperx[2].end 71.142
transcript.whisperx[2].text 當然最後我們把它3到7到9名實際上面後來的數字大概從2021年以後就穩定考試委員從19名降到9名大概少了10名考試委員只不過說我在追蹤這幾年考試院院本部的預算我其實有陷入一些
transcript.whisperx[3].start 72.591
transcript.whisperx[3].end 99.35
transcript.whisperx[3].text 迷惘那個迷惘在於說當初希望考試院能夠受升但實際上面考試院院本部的預算事實上看起來不僅沒有減少如果以今年來比的話實際上面還是增加那增加的錢到底在哪裡?是不是真的有需要花這些錢?我想我在預算提案乃至於後面審議的時候會比較清楚表明我的看法
transcript.whisperx[4].start 100.134
transcript.whisperx[4].end 127.1
transcript.whisperx[4].text 今天珍貴的質詢時間我希望放在我們大家所關心的議題上面昨天我針對考試院人事同意權的審查我請教了我們的前考試院的副院長也是院長的備體名人周鴻憲我直接請教他說他贊不贊成在公務人員保障法裡面去處理有關於職場霸凌的事情
transcript.whisperx[5].start 129.124
transcript.whisperx[5].end 155.852
transcript.whisperx[5].text 他在整個巡搭的過程當中做出了宣誓他說他如果獲得立法院同意任考試院院長他要研議修法防止職場霸凌那針對周鴻憲被提名人所做出的這個宣誓啊我不曉得在上面的三位是不是都同意是,我們都同意全部都同意嘛那但是啊剛剛秘書長也說你們進入了所謂看守的狀態這個我尊重
transcript.whisperx[6].start 158.257
transcript.whisperx[6].end 165.648
transcript.whisperx[6].text 但是我一直在思考的是啊周鴻憲被提名人他說他當院長以後他要開始研議
transcript.whisperx[7].start 166.792
transcript.whisperx[7].end 188.23
transcript.whisperx[7].text 那因此我昨天詢問他完了以後我就一直在思考說那他當院長當上院長以前之前當副院長的時候到底在做什麼到底在做什麼所以我的第一個問題啊是考試院的院會有沒有針對職場霸凌規範不足這件事情討論過請教祕書長
transcript.whisperx[8].start 191.391
transcript.whisperx[8].end 215.002
transcript.whisperx[8].text 根委報告院會裡面應該才沒有我想秘書長齁可能事情多阿很忙阿我代秘書長稍微回顧一下因為我昨天詢問完周鴻憲被提名人阿我越想越不對阿這件事情怎麼可能等到我們的勞動部阿出現了這麼誇張的狀況阿
transcript.whisperx[9].start 218.08
transcript.whisperx[9].end 230.603
transcript.whisperx[9].text 三、審查114年度中央政府總預算案附屬單位預算非營業部分關於考試院考選部主管收支部分關於考試院考選部主管收支部分關於考試院考選部主管收支部分關於考試院考選部主管收支部分
transcript.whisperx[10].start 247.981
transcript.whisperx[10].end 271.18
transcript.whisperx[10].text 因為啊,考試委員,這個陳委員謹申應該是考試委員吧?是。他問了有沒有相關的應用措施或管理的制度,請他補充報告。但是,我後來查了考試院的院會紀錄,有委員提出來要選序部補充報告。補充報告在哪裡?我找不到。顯然這件事情是有浮上水面大家要討論嘛。
transcript.whisperx[11].start 272.261
transcript.whisperx[11].end 273.462
transcript.whisperx[11].text 三、審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[12].start 293.193
transcript.whisperx[12].end 312.519
transcript.whisperx[12].text 這個月會紀錄我看過了你沒有必要複述現在我的問題是請問補充報告在哪裡因為後來在全區部提出的考機法修正的草案裡面也有把這個概念納入那只是這個草案我先問一下我先停一下所以你所說的相關應應措施或管理制度指的就是考機法嗎
transcript.whisperx[13].start 314.029
transcript.whisperx[13].end 337.973
transcript.whisperx[13].text 是嗎?不只,但是因為全序部的部分他是跟考機法有關所以這個案子因為當時在院會應該是報告案所以有委員的發言記錄沒有關係啊請你回去查事後全序部所提出來的補充報告是什麼有就書面回覆給我沒有就回答兩個字就好沒有
transcript.whisperx[14].start 339.212
transcript.whisperx[14].end 366.305
transcript.whisperx[14].text 不是只有2021年到2023年考試院院會再度的去處理了有關於職場霸凌要求保訓會要強化預防措施請問事後保訓會強化了什麼預防措施在保訓會這邊安慰辦法的部分是有一直在研修我知道研修了10年我昨天已經問過了周鴻憲
transcript.whisperx[15].start 368.45
transcript.whisperx[15].end 387.215
transcript.whisperx[15].text 對於研修10年這件事情他很遺憾也覺得非常的抱歉但我的問題很簡單2023年考試院院會又問了這件事情第二次扶上院會的檯面要求保訓會要去針對職場霸凌強化預防措施請問強化的預防措施是什麼
transcript.whisperx[16].start 392.972
transcript.whisperx[16].end 416.658
transcript.whisperx[16].text 安慰辦法在今年這個保訓會今年8月安慰辦法有針對職場霸凌強化預防措施嗎?有嗎?這個部分的確是做得並沒有很明確所以如昨天委員的所以這個就是我講的嘛考試院過去這幾年喔可能跟秘書長記憶不太一樣
transcript.whisperx[17].start 419.076
transcript.whisperx[17].end 421.521
transcript.whisperx[17].text 在考試院院會的確針對這件事情兩次
transcript.whisperx[18].start 424.98
transcript.whisperx[18].end 453.91
transcript.whisperx[18].text 要求要處理一個是請全序部一個是請保訓會我今天請部長跟保訓會的主委上來不是要責怪你們因為我知道當時你們都還沒有就任現在的職務嘛但是如果現在是在所謂的看守期間的話以前該做沒有做的事情我們的帳就要算清楚我們的帳就要算清楚讓全體的國人知道
transcript.whisperx[19].start 454.89
transcript.whisperx[19].end 480.808
transcript.whisperx[19].text 考試院過去不是沒有研議討論過這件事啊但問題是什麼問題是即使提到了考試院院會討論後續啊毫無作為就四個字毫無作為等到周鴻憲要再度被提名當考試院院長的時候才在院會宣誓啊說他要修法他要強化
transcript.whisperx[20].start 482.362
transcript.whisperx[20].end 505.341
transcript.whisperx[20].text 幾年的時間過去啦幾年的時間過去啦而這些院會秘書長您都有參與還不只這樣2023年考試院人權保障工作小組針對有關於職場霸凌的事情對於我們的公務員提出申訴結果他的主管機關處理
transcript.whisperx[21].start 507.537
transcript.whisperx[21].end 536.624
transcript.whisperx[21].text 沒有處理好他們向保訓會提出再申訴結果保訓會在30個案件裡面駁回28件這個數字不會錯啦因為這個是在你們考試院及所屬部會人權保障工作小組24次會議只是我看這個會議記錄我其實有一點感慨因為我不曉得考試院對這個會議重不重視請假的請假找人代理的代理
transcript.whisperx[22].start 537.88
transcript.whisperx[22].end 560.434
transcript.whisperx[22].text 稍後保訓會對於所謂的職場霸凌他們說沒有明確的法律規範定義他們要從個案當中去進行持續性的研究要去進行歸納分析建立未來審議的基準來請教一下秘書長保訓會後來做了什麼樣子的歸納分析
transcript.whisperx[23].start 566.73
transcript.whisperx[23].end 585.966
transcript.whisperx[23].text 這個我不是很了解那個新任的主委您了解嗎跟委員報告齁這個部分我不是很清楚不過呢在我們我先停一下你說你不是很清楚是當初工作交接沒有交接好是不是這個有關於這個駁回的這個部分呢不是啦
transcript.whisperx[24].start 586.727
transcript.whisperx[24].end 604.444
transcript.whisperx[24].text 我說後續的歸納分析結果如何博回的部分32個案子博回28件我當然沒時間在這邊一件一件跟你對嘛是你們在上面說要做歸納分析嘛但我找了半天我找不到歸納分析的結果所以我請教你們
transcript.whisperx[25].start 604.864
transcript.whisperx[25].end 633.993
transcript.whisperx[25].text 公務員報告後面的歸納分析呢我們有在進行但是因為他每個檔案都不一樣不好意思喔是持續在進行還是有做過分析過有在持續進行而且呢我們在我們在做這個會議結論的時候是2023年的6月26號嘛是現在是2024年的11月了吧是那請問這個歸納分析到目前為止有沒有任何的記錄或是任何的報告
transcript.whisperx[26].start 635.014
transcript.whisperx[26].end 641.073
transcript.whisperx[26].text 目前還沒有到目前都還沒有那所謂的歸納分析是怎麼在做的?有開過會嗎?
transcript.whisperx[27].start 643.103
transcript.whisperx[27].end 644.104
transcript.whisperx[27].text 三、審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[28].start 666.856
transcript.whisperx[28].end 693.005
transcript.whisperx[28].text 跟委員報告我們會在這個下個會期之前並同保障以法跟安慰辦法一起如果委員覺得這樣時間太長了我們會在今年底結束的時候所有的部分盡可能把它分析完不是我覺不覺得這個時間太長啦今天我們在這邊詢答的過程全部的公民都可以看啦我們的考試院
transcript.whisperx[29].start 694.005
transcript.whisperx[29].end 719.76
transcript.whisperx[29].text 人權保障工作小組6月26號要求保訓會做歸納分析搞到2024年的11月沒有會議紀錄沒有書面資料只有抽象的在持續的歸納分析搞了一年多什麼都沒有還要再半年結果才會出來是我覺得太慢還是大家都覺得太慢
transcript.whisperx[30].start 720.62
transcript.whisperx[30].end 748.042
transcript.whisperx[30].text 每個公民心裡有一把尺但在這邊我只希望新上任的主委因為我知道你新上任我也沒有要為難你你9月1號才上任嘛前面的人事情沒做好把鍋拐到你身上這不公平嘛但是我要拜託新任的主委加速辦理搞了一年多啊什麼都沒有啊人民會失望啊人民會失望啊
transcript.whisperx[31].start 749.406
transcript.whisperx[31].end 759.682
transcript.whisperx[31].text 這些問題我相信在這個會期處理預算的時候都應該要具體的反映在每一個委員的預算提案上混成這樣太離譜了謝謝
IVOD_ID 157452
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/157452
日期 2024-11-27
會議資料.會議代碼 委員會-11-2-36-16
會議資料.屆 11
會議資料.會期 2
會議資料.會次 16
會議資料.種類 委員會
會議資料.委員會代碼[0] 36
會議資料.標題 第11屆第2會期司法及法制委員會第16次全體委員會議
影片種類 Clip
開始時間 2024-11-27T09:14:40+08:00
結束時間 2024-11-27T09:27:23+08:00
支援功能[0] ai-transcript