iVOD / 157469

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4b9db3dc7042177a6342bad506e87162aab8b86039943efce54b9bd157483afab8c40d3938d270f35ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鍾佳濱
委員發言時間 09:51:48 - 10:03:27
影片長度 699
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_01
transcript.pyannote[0].start 9.85221875
transcript.pyannote[0].end 22.82909375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 23.90909375
transcript.pyannote[1].end 25.91721875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 25.42784375
transcript.pyannote[2].end 25.57971875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 25.91721875
transcript.pyannote[3].end 25.93409375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 27.65534375
transcript.pyannote[4].end 54.50346875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 54.84096875
transcript.pyannote[5].end 64.24034375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 64.24034375
transcript.pyannote[6].end 71.98596875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 71.32784375
transcript.pyannote[7].end 71.78346875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 71.98596875
transcript.pyannote[8].end 81.03096875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 81.03096875
transcript.pyannote[9].end 89.16471875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 86.61659375
transcript.pyannote[10].end 87.89909375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 88.60784375
transcript.pyannote[11].end 88.81034375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 89.16471875
transcript.pyannote[12].end 89.70471875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 89.70471875
transcript.pyannote[13].end 92.05034375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 91.84784375
transcript.pyannote[14].end 94.02471875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 94.51409375
transcript.pyannote[15].end 116.02971875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 116.02971875
transcript.pyannote[16].end 131.97659375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 123.92721875
transcript.pyannote[17].end 126.27284375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 130.28909375
transcript.pyannote[18].end 130.42409375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 130.59284375
transcript.pyannote[19].end 139.09784375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 133.57971875
transcript.pyannote[20].end 134.05221875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 138.92909375
transcript.pyannote[21].end 139.06409375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 139.09784375
transcript.pyannote[22].end 139.58721875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 139.58721875
transcript.pyannote[23].end 139.84034375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 139.84034375
transcript.pyannote[24].end 139.90784375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 139.90784375
transcript.pyannote[25].end 139.97534375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 139.97534375
transcript.pyannote[26].end 140.02596875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 140.49846875
transcript.pyannote[27].end 141.03846875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 141.03846875
transcript.pyannote[28].end 152.15909375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 142.42221875
transcript.pyannote[29].end 143.92409375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 144.51471875
transcript.pyannote[30].end 146.10096875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 151.04534375
transcript.pyannote[31].end 152.68221875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 152.68221875
transcript.pyannote[32].end 153.74534375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 153.74534375
transcript.pyannote[33].end 159.46596875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 158.43659375
transcript.pyannote[34].end 162.92534375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 162.01409375
transcript.pyannote[35].end 164.71409375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 164.39346875
transcript.pyannote[36].end 170.41784375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 169.89471875
transcript.pyannote[37].end 170.38409375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 170.41784375
transcript.pyannote[38].end 170.43471875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 170.43471875
transcript.pyannote[39].end 170.46846875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 170.46846875
transcript.pyannote[40].end 170.51909375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 170.51909375
transcript.pyannote[41].end 170.87346875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 170.87346875
transcript.pyannote[42].end 170.92409375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 170.92409375
transcript.pyannote[43].end 171.61596875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 170.97471875
transcript.pyannote[44].end 184.08659375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 177.33659375
transcript.pyannote[45].end 177.70784375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 184.33971875
transcript.pyannote[46].end 186.46596875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 186.61784375
transcript.pyannote[47].end 193.09784375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 193.90784375
transcript.pyannote[48].end 194.71784375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 194.90346875
transcript.pyannote[49].end 194.93721875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 194.93721875
transcript.pyannote[50].end 196.03409375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 196.03409375
transcript.pyannote[51].end 203.99909375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 203.99909375
transcript.pyannote[52].end 205.04534375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 205.04534375
transcript.pyannote[53].end 205.09596875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 205.09596875
transcript.pyannote[54].end 205.12971875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 205.12971875
transcript.pyannote[55].end 205.19721875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 205.19721875
transcript.pyannote[56].end 206.00721875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 212.43659375
transcript.pyannote[57].end 213.39846875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 213.87096875
transcript.pyannote[58].end 218.34284375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 213.90471875
transcript.pyannote[59].end 214.79909375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 218.46096875
transcript.pyannote[60].end 221.53221875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 223.52346875
transcript.pyannote[61].end 224.77221875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 225.76784375
transcript.pyannote[62].end 227.11784375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 226.47659375
transcript.pyannote[63].end 230.77971875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 230.37471875
transcript.pyannote[64].end 230.74596875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 230.77971875
transcript.pyannote[65].end 230.94846875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 230.94846875
transcript.pyannote[66].end 231.03284375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 231.03284375
transcript.pyannote[67].end 231.43784375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 231.43784375
transcript.pyannote[68].end 232.23096875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 231.91034375
transcript.pyannote[69].end 232.16346875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 232.23096875
transcript.pyannote[70].end 232.55159375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 232.55159375
transcript.pyannote[71].end 232.60221875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 232.60221875
transcript.pyannote[72].end 232.90596875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 232.90596875
transcript.pyannote[73].end 237.66471875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 237.83346875
transcript.pyannote[74].end 241.25909375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 241.78221875
transcript.pyannote[75].end 244.95471875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 244.98846875
transcript.pyannote[76].end 245.10659375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 245.10659375
transcript.pyannote[77].end 245.15721875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 245.15721875
transcript.pyannote[78].end 246.06846875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 246.28784375
transcript.pyannote[79].end 247.21596875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 251.36721875
transcript.pyannote[80].end 257.03721875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 253.22346875
transcript.pyannote[81].end 253.84784375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 257.03721875
transcript.pyannote[82].end 265.52534375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 265.25534375
transcript.pyannote[83].end 276.42659375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 276.84846875
transcript.pyannote[84].end 297.72284375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 298.29659375
transcript.pyannote[85].end 299.02221875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 299.57909375
transcript.pyannote[86].end 302.46471875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 302.92034375
transcript.pyannote[87].end 304.16909375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 304.70909375
transcript.pyannote[88].end 306.32909375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 306.88596875
transcript.pyannote[89].end 313.97346875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 314.00721875
transcript.pyannote[90].end 322.07346875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 315.96471875
transcript.pyannote[91].end 316.87596875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 319.60971875
transcript.pyannote[92].end 322.00596875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 322.07346875
transcript.pyannote[93].end 325.11096875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 325.19534375
transcript.pyannote[94].end 330.93284375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 332.14784375
transcript.pyannote[95].end 340.58534375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 340.77096875
transcript.pyannote[96].end 347.95971875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 348.09471875
transcript.pyannote[97].end 352.16159375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 352.33034375
transcript.pyannote[98].end 353.10659375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 353.20784375
transcript.pyannote[99].end 356.58284375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 357.15659375
transcript.pyannote[100].end 360.68346875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 361.12221875
transcript.pyannote[101].end 362.86034375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 363.02909375
transcript.pyannote[102].end 363.63659375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 363.95721875
transcript.pyannote[103].end 366.01596875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 366.23534375
transcript.pyannote[104].end 370.04909375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 370.15034375
transcript.pyannote[105].end 371.61846875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 372.24284375
transcript.pyannote[106].end 394.26471875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 375.06096875
transcript.pyannote[107].end 377.89596875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 378.43596875
transcript.pyannote[108].end 378.75659375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 379.76909375
transcript.pyannote[109].end 380.84909375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 390.46784375
transcript.pyannote[110].end 405.06471875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 405.55409375
transcript.pyannote[111].end 406.31346875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 406.60034375
transcript.pyannote[112].end 414.91971875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 412.35471875
transcript.pyannote[113].end 413.24909375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 414.12659375
transcript.pyannote[114].end 416.92784375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 416.52284375
transcript.pyannote[115].end 417.87284375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 418.46346875
transcript.pyannote[116].end 418.73346875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 419.81346875
transcript.pyannote[117].end 421.26471875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 422.90159375
transcript.pyannote[118].end 428.67284375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 428.84159375
transcript.pyannote[119].end 437.36346875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 437.43096875
transcript.pyannote[120].end 443.18534375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 443.43846875
transcript.pyannote[121].end 446.86409375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 447.04971875
transcript.pyannote[122].end 449.91846875
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 449.91846875
transcript.pyannote[123].end 450.28971875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 450.28971875
transcript.pyannote[124].end 458.59221875
transcript.pyannote[125].speaker SPEAKER_03
transcript.pyannote[125].start 459.40221875
transcript.pyannote[125].end 460.38096875
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 460.70159375
transcript.pyannote[126].end 467.33346875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 466.03409375
transcript.pyannote[127].end 469.30784375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 470.11784375
transcript.pyannote[128].end 475.06221875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 475.28159375
transcript.pyannote[129].end 476.96909375
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 475.50096875
transcript.pyannote[130].end 478.53846875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 477.39096875
transcript.pyannote[131].end 482.95971875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 483.29721875
transcript.pyannote[132].end 485.20409375
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 485.67659375
transcript.pyannote[133].end 486.77346875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 486.26721875
transcript.pyannote[134].end 487.02659375
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 487.53284375
transcript.pyannote[135].end 507.04034375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 488.88284375
transcript.pyannote[136].end 489.23721875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 507.04034375
transcript.pyannote[137].end 511.71471875
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 511.91721875
transcript.pyannote[138].end 519.61221875
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 520.81034375
transcript.pyannote[139].end 523.12221875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 522.80159375
transcript.pyannote[140].end 524.67471875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 525.01221875
transcript.pyannote[141].end 541.53284375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 541.65096875
transcript.pyannote[142].end 550.35846875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 550.69596875
transcript.pyannote[143].end 553.39596875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 553.91909375
transcript.pyannote[144].end 558.40784375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 558.47534375
transcript.pyannote[145].end 560.19659375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 560.50034375
transcript.pyannote[146].end 562.03596875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 562.17096875
transcript.pyannote[147].end 562.89659375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 563.45346875
transcript.pyannote[148].end 566.45721875
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 567.04784375
transcript.pyannote[149].end 572.97096875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 571.38471875
transcript.pyannote[150].end 571.95846875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 572.44784375
transcript.pyannote[151].end 578.94471875
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 579.31596875
transcript.pyannote[152].end 581.47596875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 580.61534375
transcript.pyannote[153].end 587.28096875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 587.56784375
transcript.pyannote[154].end 589.87971875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 590.16659375
transcript.pyannote[155].end 591.82034375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 592.00596875
transcript.pyannote[156].end 594.23346875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 594.77346875
transcript.pyannote[157].end 599.12721875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 599.31284375
transcript.pyannote[158].end 600.20721875
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 600.62909375
transcript.pyannote[159].end 601.64159375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 601.40534375
transcript.pyannote[160].end 603.05909375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 603.73409375
transcript.pyannote[161].end 616.13721875
transcript.pyannote[162].speaker SPEAKER_03
transcript.pyannote[162].start 606.83909375
transcript.pyannote[162].end 608.40846875
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 608.40846875
transcript.pyannote[163].end 608.42534375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 611.44596875
transcript.pyannote[164].end 611.93534375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 616.54221875
transcript.pyannote[165].end 621.01409375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 619.02284375
transcript.pyannote[166].end 619.17471875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 621.14909375
transcript.pyannote[167].end 622.98846875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 625.23284375
transcript.pyannote[168].end 627.61221875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 627.98346875
transcript.pyannote[169].end 643.13721875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 642.32721875
transcript.pyannote[170].end 643.15409375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 643.15409375
transcript.pyannote[171].end 643.17096875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 643.17096875
transcript.pyannote[172].end 655.18596875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 654.13971875
transcript.pyannote[173].end 656.63721875
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 656.18159375
transcript.pyannote[174].end 660.02909375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 659.03346875
transcript.pyannote[175].end 659.35409375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 660.02909375
transcript.pyannote[176].end 660.70409375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 660.70409375
transcript.pyannote[177].end 660.77159375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 660.77159375
transcript.pyannote[178].end 660.78846875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 660.78846875
transcript.pyannote[179].end 661.02471875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 661.02471875
transcript.pyannote[180].end 661.27784375
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 661.27784375
transcript.pyannote[181].end 663.37034375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 661.29471875
transcript.pyannote[182].end 670.25534375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 664.19721875
transcript.pyannote[183].end 665.44596875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 665.47971875
transcript.pyannote[184].end 666.00284375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 670.44096875
transcript.pyannote[185].end 679.35096875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 679.92471875
transcript.pyannote[186].end 681.35909375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 681.57846875
transcript.pyannote[187].end 682.65846875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 683.26596875
transcript.pyannote[188].end 685.30784375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 685.59471875
transcript.pyannote[189].end 686.86034375
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 687.87284375
transcript.pyannote[190].end 689.72909375
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 690.06659375
transcript.pyannote[191].end 693.88034375
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 693.96471875
transcript.pyannote[192].end 694.57221875
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 694.92659375
transcript.pyannote[193].end 697.03596875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 698.09909375
transcript.pyannote[194].end 698.97659375
transcript.whisperx[0].start 10.055
transcript.whisperx[0].end 25.581
transcript.whisperx[0].text 主席,在場的委員先進,列席的政府機關首長、官員會長、公眾夥伴、媒體記者女士先生。有請我們考選部劉部長、權序部施部長以及保訓會的蔡主委。好,請我們部長跟主委。委員長。
transcript.whisperx[1].start 27.674
transcript.whisperx[1].end 57.397
transcript.whisperx[1].text 首先請教劉部長我今天在問說國考進化打字答題計算機要升級啊那我們現在公文電子化而且呢已經有輔助工具那麼在2022年的3月3號你們宣布說從去年開始15項特考不再考公文是不是這樣子是沒有錯嘛那你們說目前的公文僅憑良單一公文格式有所侷限散打均有相關的程式所以呢參考範例就可以了
transcript.whisperx[2].start 57.877
transcript.whisperx[2].end 62.459
transcript.whisperx[2].text 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[3].start 82.344
transcript.whisperx[3].end 107.319
transcript.whisperx[3].text 跟那個委員報告這最主要的是我們要處理的是你剛講過了我就不再重述那什麼時候可以實施我希望是在115到116左右115到116好那我們來看一下如果說全面性的做你們有擔心那其實有一個部分司法人員考試啊他是大概是深論題占比最高的是不是這樣是那深論題你用手寫跟打字就不太一樣嘛是
transcript.whisperx[4].start 107.879
transcript.whisperx[4].end 135.862
transcript.whisperx[4].text 所以呢有沒有考慮過司法考試的生論題轉型為電腦化測驗的設備需求先推動在114年先推動上路跟委員報告我們希望是在115到16但我的目標的確就是私立那原因很簡單因為我們需要確定的還是說我瞭解你剛剛說的我都聽到了那這個話我們需要建立一批核心市場也就是我們要一批核心市場所以我的意思就是說你要全面推動之前有沒有先找哪一個國考的項目
transcript.whisperx[5].start 136.602
transcript.whisperx[5].end 137.302
transcript.whisperx[5].text 三、審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[6].start 158.65
transcript.whisperx[6].end 159.331
transcript.whisperx[6].text 主管總預算案附屬單位預算非營業部
transcript.whisperx[7].start 174.628
transcript.whisperx[7].end 192.493
transcript.whisperx[7].text 需要時間、鋪陳、每年度的預算規劃如何?好不好?接下來我們往下看另外國考認可的計算機工程類科的剛剛有問到土木工程人越來越少了剛剛劉秉桑有回答到現在你知道嗎?你們已經通過檢討可以允許考生用的計算機都不生產了
transcript.whisperx[8].start 193.956
transcript.whisperx[8].end 221.093
transcript.whisperx[8].text 那新的經過你們認可的那個計算機你們什麼時候會公布?跟委員報告確定這個會議已經開完了那這也是我上來之後就要求趕快把這個會議開完預計什麼時候公告?114年明年就可以114年開始受理我們會讓計算機的那個廠商開始受理所以明年還是用舊型的計算機?
transcript.whisperx[9].start 223.675
transcript.whisperx[9].end 247.138
transcript.whisperx[9].text 所以要趕快通知考生,舊的計算機不要丟掉,有舊的計算機要交接。我知道,但是有的已經不生產了。現在我要考試,我不只要交接,我要買,買不到啊。我要跟原來的考生交接計算機啊。有沒有做個準備啊。跟考生說,像我們以前大學畢業,不會有人去買那個學士服啊,交接的啊。
transcript.whisperx[10].start 251.414
transcript.whisperx[10].end 252.535
transcript.whisperx[10].text 二、審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[11].start 278.839
transcript.whisperx[11].end 297.493
transcript.whisperx[11].text 公務員服務法工作時數上限每月60小時,行政院實施辦法扶勤,如果急迫或人力零食調度有困難,就會突破上限到每天14小時。接下來,特殊重大專案可以提升到
transcript.whisperx[12].start 298.394
transcript.whisperx[12].end 300.335
transcript.whisperx[12].text 三、審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[13].start 314.319
transcript.whisperx[13].end 315.18
transcript.whisperx[13].text 每個月加班80小時已經到達過勞的認定標準
transcript.whisperx[14].start 332.719
transcript.whisperx[14].end 356.17
transcript.whisperx[14].text 並發病前兩到六個月內任何一個月的工作時間超過八十小時就可判斷工作負荷跟發病有極相關的、極強的關聯性。意思是說如果按照行政院他為了應付緊急的任務三個月內給你兩百四十個小時有可能單月超過八十小時怎麼辦?基於對公務人員他的身心保護您覺得行政院自己的這個專案認定跟執行局的規定
transcript.whisperx[15].start 357.21
transcript.whisperx[15].end 371.281
transcript.whisperx[15].text 考試院站在保障我們公務人員的健康你有什麼辦法?有沒有辦法透過說如果這個專案合定了你在某個月超過80個小時會提供要求提供額外的健檢追蹤或補修來提供喘息?我跟委員報告因為
transcript.whisperx[16].start 372.322
transcript.whisperx[16].end 372.922
transcript.whisperx[16].text 三、審查114年度中央政府總預算案附屬單位
transcript.whisperx[17].start 387.587
transcript.whisperx[17].end 388.008
transcript.whisperx[17].text 公務員保障人的健康
transcript.whisperx[18].start 405.66
transcript.whisperx[18].end 418.511
transcript.whisperx[18].text 行政院敦促他要注意到這個部分,比如說額外的建檢、追蹤、或者是補修、槍支補修,這個可不可以在未來法律裡面去推翻?這主要是在保障法裡面討論。在保障嘛,保障來。來,我們來看一下。
transcript.whisperx[19].start 424.091
transcript.whisperx[19].end 432.837
transcript.whisperx[19].text 主管及基層公務員保障法及安慰辦法的不足公務員保障法19、20、21、2219是安全、衛生及防護的法源20條後來甚至成為公務員的退避權消防員退避權危險可以離開
transcript.whisperx[20].start 443.544
transcript.whisperx[20].end 468.986
transcript.whisperx[20].text 另外二十一條公務員如果遭受不法侵害有國賠的一個救濟的餘地還有射送的一個補助是不是這樣子是所以目前公務員保障法跟後來安全衛生班法當中裡面有寫到遭受身體或精神不法侵害的預防這有沒有包含霸凌報告委員基本上它的廣義是應該有包含霸凌然後在我們的立法說明裡面有提到職場霸凌立法說明我們來看一下立法說明是不是這個法下一張
transcript.whisperx[21].start 470.706
transcript.whisperx[21].end 485.042
transcript.whisperx[21].text 是這個嗎?安慰辦法這是人總訂的,你們是參考這個嗎?欸不是。這不是,這是人總訂的。對。那如果違反安慰辦法或這個霸凌方式處理SOP的後果可以處罰嗎?如果你來看人總訂的,或者說原來的安慰辦法。
transcript.whisperx[22].start 486.043
transcript.whisperx[22].end 511.369
transcript.whisperx[22].text 有沒有罰則目前是沒有罰則但是在保障法的第一條有提到就是說如果說本法沒有規定的適用其他的相關法規但是那個的確像委員所提到的不管目前在保障法或安慰辦法並沒有明確的去指出可以適用哪些法規這是我們法制上的不足所以甚至連人種定的SOP他都不能確保落實這個部分是不是這樣
transcript.whisperx[23].start 512.237
transcript.whisperx[23].end 541.107
transcript.whisperx[23].text 對,但是如果機關他的調查結果那這個去提升再申訴的人他不服他可以到保障尋這個救濟到保訓會來我們來看一看究竟哪些來下一頁其實我們看看這個公務員當中有主管跟他的部屬的基層工有互動基層人員他要執行公權利對人民要服務人民但是呢遇到人民對他不管是人身威脅或是他執行的勤務有環境危害的時候我們會去保護他
transcript.whisperx[24].start 541.807
transcript.whisperx[24].end 566.33
transcript.whisperx[24].text 但是呢他對他的上司還有服從的義務但是我們國家給他身份的保障所以他不可能任意被主管開除但是因為這樣的關係主管會怎麼樣用考機來指揮監督他那不能開除他的情況之下他除了考機就變成我們基層公務員他的一個精神壓力來源同時也是這個主管區測他的部署要服從是不是一個主要的來自考機法
transcript.whisperx[25].start 567.333
transcript.whisperx[25].end 586.989
transcript.whisperx[25].text 除了考機法以外呢還有包含可能他平常對他的工作指派啊,他的態度啊但是這些的後盾就是考機法嘛,如果你不聽話你不認真我就給你考慮以等比等,是不是這樣子還有包含調任啊,等等,謝謝但是主管本身他也受身份保障啊,如果主管呢因為霸凌,被
transcript.whisperx[26].start 587.677
transcript.whisperx[26].end 602.407
transcript.whisperx[26].text 沒有完整程序的給他免職那可能他會來尋求救濟那可是考積裡面對於主管的職場管理有不當對待的時候有沒有考積法可以對這個主管來予以懲處有沒有好來我們來看看考積法來
transcript.whisperx[27].start 603.643
transcript.whisperx[27].end 622.806
transcript.whisperx[27].text 我跟委員報告,考計法是適用所有的同仁是,所以說考計法當中有對於我不服從上司指揮要考慮我一等那但是我的主管如果對我不當對待要怎麼辦上對下的下要服從可是上對下不合理的管理不當對待我怎麼處理下一頁
transcript.whisperx[28].start 625.27
transcript.whisperx[28].end 653.086
transcript.whisperx[28].text 我們在2021年是不是送考試院審議今年二月說還要再修正那目前你們修正了第11條受考記人在考記年度有具體施政主任有其他情形要待改善曾經對他人為職場霸凌不管是上對下或平行的情形嚴重目前草案進入如何何時可以提出這個草案已經送到考試院去了那當初這個草案進入考記法涉及的面向非常非常多的題目所以這只是其中一環所以那考試院當然其他部分還有更多的爭議
transcript.whisperx[29].start 653.826
transcript.whisperx[29].end 656.607
transcript.whisperx[29].text 最後結論時間的關係第一,拜託我們劉部長配合我們國考電腦化測試的期程在一個月內提出各年度的預算規劃及新增的考試計算機的種類,可以嗎?一個月內喔
transcript.whisperx[30].start 680.095
transcript.whisperx[30].end 682.497
transcript.whisperx[30].text 二、審查114年度中央政府總預算案附屬單位預算
IVOD_ID 157469
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/157469
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 2024-11-27T09:51:48+08:00
結束時間 2024-11-27T10:03:27+08:00
支援功能[0] ai-transcript