iVOD / 157444

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5185545278ec5b4026fd13cbdb3fcfe31bbb2820cd090d8f07a8269752a4b8c03f1c478c5b52ad615ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 楊瓊瓔
委員發言時間 14:38:31 - 14:59:04
影片長度 1233
會議時間 2024-11-26T09:00:00+08:00
會議名稱 第11屆第2會期第1次全院委員會(事由:總統咨,為考試院第十三屆院長、副院長及考試委員任期於113年8月31日屆滿,茲依據憲法增修條文第6條第2項規定,提名周弘憲為考試院第十四屆院長,許舒翔為考試院第十四屆副院長,邱文彥、鄧家基、王秀紅、呂秋慧、柯麗鈴、黃東益、伊萬.納威Iwan Nawi 7位為考試院第十四屆考試委員,咨請同意案。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 3.87846875
transcript.pyannote[0].end 14.25659375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 14.76284375
transcript.pyannote[1].end 17.39534375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 18.37409375
transcript.pyannote[2].end 18.84659375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 22.59284375
transcript.pyannote[3].end 23.84159375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 24.04409375
transcript.pyannote[4].end 27.68909375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 28.17846875
transcript.pyannote[5].end 43.78784375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 44.26034375
transcript.pyannote[6].end 44.66534375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 44.73284375
transcript.pyannote[7].end 45.47534375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 45.82971875
transcript.pyannote[8].end 46.99409375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 47.19659375
transcript.pyannote[9].end 47.71971875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 48.10784375
transcript.pyannote[10].end 52.88346875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 53.10284375
transcript.pyannote[11].end 54.57096875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 55.00971875
transcript.pyannote[12].end 60.69659375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 60.76409375
transcript.pyannote[13].end 62.65409375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 63.05909375
transcript.pyannote[14].end 64.98284375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 65.25284375
transcript.pyannote[15].end 66.58596875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 66.97409375
transcript.pyannote[16].end 69.82596875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 70.06221875
transcript.pyannote[17].end 72.94784375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 73.26846875
transcript.pyannote[18].end 73.63971875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 73.85909375
transcript.pyannote[19].end 75.54659375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 76.17096875
transcript.pyannote[20].end 78.83721875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 78.31409375
transcript.pyannote[21].end 97.65284375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 79.56284375
transcript.pyannote[22].end 79.95096875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 81.06471875
transcript.pyannote[23].end 81.53721875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 97.77096875
transcript.pyannote[24].end 100.80846875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 100.99409375
transcript.pyannote[25].end 101.04471875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 101.06159375
transcript.pyannote[26].end 104.16659375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 104.55471875
transcript.pyannote[27].end 117.71721875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 116.04659375
transcript.pyannote[28].end 120.13034375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 119.75909375
transcript.pyannote[29].end 120.40034375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 120.40034375
transcript.pyannote[30].end 141.24096875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 141.79784375
transcript.pyannote[31].end 143.51909375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 142.65846875
transcript.pyannote[32].end 142.97909375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 143.82284375
transcript.pyannote[33].end 145.56096875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 146.16846875
transcript.pyannote[34].end 148.66596875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 148.81784375
transcript.pyannote[35].end 152.36159375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 152.53034375
transcript.pyannote[36].end 154.89284375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 155.24721875
transcript.pyannote[37].end 158.06534375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 158.30159375
transcript.pyannote[38].end 159.39846875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 159.70221875
transcript.pyannote[39].end 167.90346875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 168.20721875
transcript.pyannote[40].end 168.73034375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 168.61221875
transcript.pyannote[41].end 179.05784375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 179.68221875
transcript.pyannote[42].end 181.85909375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 182.31471875
transcript.pyannote[43].end 184.08659375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 184.45784375
transcript.pyannote[44].end 187.51221875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 187.76534375
transcript.pyannote[45].end 188.69346875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 188.86221875
transcript.pyannote[46].end 191.05596875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 191.42721875
transcript.pyannote[47].end 193.65471875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 194.05971875
transcript.pyannote[48].end 195.02159375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 195.08909375
transcript.pyannote[49].end 196.74284375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 196.96221875
transcript.pyannote[50].end 198.24471875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 198.59909375
transcript.pyannote[51].end 200.64096875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 200.97846875
transcript.pyannote[52].end 206.93534375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 207.20534375
transcript.pyannote[53].end 208.01534375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 209.01096875
transcript.pyannote[54].end 209.50034375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 209.70284375
transcript.pyannote[55].end 210.34409375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 210.63096875
transcript.pyannote[56].end 211.40721875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 211.72784375
transcript.pyannote[57].end 214.73159375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 214.98471875
transcript.pyannote[58].end 216.67221875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 216.92534375
transcript.pyannote[59].end 217.76909375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 218.02221875
transcript.pyannote[60].end 219.05159375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 219.84471875
transcript.pyannote[61].end 225.70034375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 224.38409375
transcript.pyannote[62].end 229.41284375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 229.68284375
transcript.pyannote[63].end 230.02034375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 230.42534375
transcript.pyannote[64].end 230.74596875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 230.54346875
transcript.pyannote[65].end 259.41659375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 259.97346875
transcript.pyannote[66].end 269.45721875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 264.59721875
transcript.pyannote[67].end 264.64784375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 269.62596875
transcript.pyannote[68].end 275.56596875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 274.87409375
transcript.pyannote[69].end 285.72471875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 286.33221875
transcript.pyannote[70].end 300.81096875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 301.11471875
transcript.pyannote[71].end 302.36346875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 303.13971875
transcript.pyannote[72].end 305.41784375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 306.83534375
transcript.pyannote[73].end 310.85159375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 311.57721875
transcript.pyannote[74].end 315.20534375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 315.52596875
transcript.pyannote[75].end 341.93534375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 342.23909375
transcript.pyannote[76].end 344.56784375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 345.14159375
transcript.pyannote[77].end 369.77909375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 370.16721875
transcript.pyannote[78].end 371.17971875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 371.77034375
transcript.pyannote[79].end 376.41096875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 376.78221875
transcript.pyannote[80].end 378.11534375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 378.36846875
transcript.pyannote[81].end 383.51534375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 383.76846875
transcript.pyannote[82].end 385.10159375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 385.45596875
transcript.pyannote[83].end 390.90659375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 389.80971875
transcript.pyannote[84].end 393.45471875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 393.60659375
transcript.pyannote[85].end 393.92721875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 393.92721875
transcript.pyannote[86].end 418.31159375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 419.40846875
transcript.pyannote[87].end 423.47534375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 423.72846875
transcript.pyannote[88].end 428.94284375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 428.97659375
transcript.pyannote[89].end 430.27596875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 429.01034375
transcript.pyannote[90].end 431.03534375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 431.27159375
transcript.pyannote[91].end 452.23034375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 451.58909375
transcript.pyannote[92].end 451.89284375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 452.33159375
transcript.pyannote[93].end 458.72721875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 458.72721875
transcript.pyannote[94].end 458.98034375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 459.35159375
transcript.pyannote[95].end 515.34284375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 516.01784375
transcript.pyannote[96].end 525.90659375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 526.12596875
transcript.pyannote[97].end 528.94409375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 529.58534375
transcript.pyannote[98].end 536.33534375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 536.55471875
transcript.pyannote[99].end 541.04346875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 538.86659375
transcript.pyannote[100].end 539.65971875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 540.70596875
transcript.pyannote[101].end 540.90846875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 541.04346875
transcript.pyannote[102].end 543.59159375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 543.79409375
transcript.pyannote[103].end 548.08034375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 548.24909375
transcript.pyannote[104].end 556.01159375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 556.23096875
transcript.pyannote[105].end 559.30221875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 559.67346875
transcript.pyannote[106].end 583.41659375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 583.78784375
transcript.pyannote[107].end 631.00409375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 631.42596875
transcript.pyannote[108].end 650.34284375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 650.88284375
transcript.pyannote[109].end 665.27721875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 665.63159375
transcript.pyannote[110].end 669.31034375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 670.17096875
transcript.pyannote[111].end 670.40721875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 670.96409375
transcript.pyannote[112].end 677.34284375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 677.39346875
transcript.pyannote[113].end 679.14846875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 679.38471875
transcript.pyannote[114].end 680.76846875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 680.93721875
transcript.pyannote[115].end 687.13034375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 687.29909375
transcript.pyannote[116].end 690.30284375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 690.89346875
transcript.pyannote[117].end 696.46221875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 695.97284375
transcript.pyannote[118].end 700.54596875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 700.96784375
transcript.pyannote[119].end 705.33846875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 705.77721875
transcript.pyannote[120].end 707.73471875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 708.10596875
transcript.pyannote[121].end 716.98221875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 717.03284375
transcript.pyannote[122].end 717.74159375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 717.69096875
transcript.pyannote[123].end 719.53034375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 717.79221875
transcript.pyannote[124].end 717.82596875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 717.89346875
transcript.pyannote[125].end 732.70971875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 732.59159375
transcript.pyannote[126].end 736.84409375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 736.97909375
transcript.pyannote[127].end 737.92409375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 738.49784375
transcript.pyannote[128].end 743.76284375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 743.99909375
transcript.pyannote[129].end 748.06596875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 748.28534375
transcript.pyannote[130].end 751.33971875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 751.49159375
transcript.pyannote[131].end 753.53346875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 753.87096875
transcript.pyannote[132].end 764.19846875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 764.67096875
transcript.pyannote[133].end 770.76284375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 771.18471875
transcript.pyannote[134].end 771.87659375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 772.19721875
transcript.pyannote[135].end 774.13784375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 774.42471875
transcript.pyannote[136].end 776.80409375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 776.93909375
transcript.pyannote[137].end 778.17096875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 778.37346875
transcript.pyannote[138].end 779.75721875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 780.12846875
transcript.pyannote[139].end 783.67221875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 784.00971875
transcript.pyannote[140].end 784.34721875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 784.54971875
transcript.pyannote[141].end 787.03034375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 787.08096875
transcript.pyannote[142].end 787.09784375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 787.16534375
transcript.pyannote[143].end 787.40159375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 787.58721875
transcript.pyannote[144].end 790.57409375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 790.82721875
transcript.pyannote[145].end 792.14346875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 793.08846875
transcript.pyannote[146].end 805.89659375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 806.30159375
transcript.pyannote[147].end 816.81471875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 817.01721875
transcript.pyannote[148].end 819.63284375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 819.98721875
transcript.pyannote[149].end 823.36221875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 823.39596875
transcript.pyannote[150].end 827.61471875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 827.69909375
transcript.pyannote[151].end 830.56784375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 830.83784375
transcript.pyannote[152].end 831.24284375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 832.28909375
transcript.pyannote[153].end 835.37721875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 835.61346875
transcript.pyannote[154].end 839.93346875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 840.87846875
transcript.pyannote[155].end 847.27409375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 847.49346875
transcript.pyannote[156].end 848.80971875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 849.04596875
transcript.pyannote[157].end 849.40034375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 849.85596875
transcript.pyannote[158].end 855.00284375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 854.90159375
transcript.pyannote[159].end 859.35659375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 860.13284375
transcript.pyannote[160].end 866.73096875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 867.11909375
transcript.pyannote[161].end 882.28971875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 882.84659375
transcript.pyannote[162].end 884.06159375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 884.29784375
transcript.pyannote[163].end 912.86721875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 913.50846875
transcript.pyannote[164].end 918.33471875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 918.62159375
transcript.pyannote[165].end 921.99659375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 922.28346875
transcript.pyannote[166].end 923.59971875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 924.49409375
transcript.pyannote[167].end 931.10909375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 928.49346875
transcript.pyannote[168].end 930.75471875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 931.10909375
transcript.pyannote[169].end 933.43784375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 933.65721875
transcript.pyannote[170].end 935.02409375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 935.51346875
transcript.pyannote[171].end 935.91846875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 935.95221875
transcript.pyannote[172].end 940.00221875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 940.54221875
transcript.pyannote[173].end 954.75096875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 955.47659375
transcript.pyannote[174].end 966.19221875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 961.41659375
transcript.pyannote[175].end 961.70346875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 966.58034375
transcript.pyannote[176].end 967.40721875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 967.67721875
transcript.pyannote[177].end 971.98034375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 972.01409375
transcript.pyannote[178].end 972.25034375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 972.62159375
transcript.pyannote[179].end 983.03346875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 983.25284375
transcript.pyannote[180].end 990.05346875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 990.45846875
transcript.pyannote[181].end 994.67721875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 995.09909375
transcript.pyannote[182].end 996.65159375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 996.88784375
transcript.pyannote[183].end 1002.65909375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 1003.31721875
transcript.pyannote[184].end 1004.80221875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 1004.88659375
transcript.pyannote[185].end 1009.78034375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 1010.11784375
transcript.pyannote[186].end 1013.83034375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 1014.11721875
transcript.pyannote[187].end 1014.67409375
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 1014.92721875
transcript.pyannote[188].end 1015.65284375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 1016.05784375
transcript.pyannote[189].end 1017.08721875
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 1017.40784375
transcript.pyannote[190].end 1020.51284375
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 1020.95159375
transcript.pyannote[191].end 1026.35159375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 1027.93784375
transcript.pyannote[192].end 1032.81471875
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 1033.65846875
transcript.pyannote[193].end 1033.96221875
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 1034.23221875
transcript.pyannote[194].end 1036.89846875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 1037.25284375
transcript.pyannote[195].end 1041.21846875
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 1041.62346875
transcript.pyannote[196].end 1044.64409375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 1044.76221875
transcript.pyannote[197].end 1048.47471875
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 1048.74471875
transcript.pyannote[198].end 1050.60096875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 1050.98909375
transcript.pyannote[199].end 1054.63409375
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 1054.76909375
transcript.pyannote[200].end 1055.57909375
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 1055.89971875
transcript.pyannote[201].end 1059.59534375
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 1059.91596875
transcript.pyannote[202].end 1060.84409375
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 1061.38409375
transcript.pyannote[203].end 1064.62409375
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 1065.61971875
transcript.pyannote[204].end 1068.97784375
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 1068.97784375
transcript.pyannote[205].end 1079.89596875
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 1073.44971875
transcript.pyannote[206].end 1073.75346875
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 1075.87971875
transcript.pyannote[207].end 1078.19159375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 1079.47409375
transcript.pyannote[208].end 1083.52409375
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 1083.62534375
transcript.pyannote[209].end 1122.42096875
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 1122.94409375
transcript.pyannote[210].end 1123.60221875
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 1124.46284375
transcript.pyannote[211].end 1125.44159375
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 1126.11659375
transcript.pyannote[212].end 1126.62284375
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 1126.72409375
transcript.pyannote[213].end 1127.31471875
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 1128.71534375
transcript.pyannote[214].end 1130.52096875
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 1130.70659375
transcript.pyannote[215].end 1131.14534375
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 1131.71909375
transcript.pyannote[216].end 1134.70596875
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 1135.29659375
transcript.pyannote[217].end 1143.41346875
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 1143.86909375
transcript.pyannote[218].end 1155.02346875
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 1155.32721875
transcript.pyannote[219].end 1160.38971875
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 1160.76096875
transcript.pyannote[220].end 1161.26721875
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 1161.58784375
transcript.pyannote[221].end 1163.29221875
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 1164.05159375
transcript.pyannote[222].end 1167.20721875
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 1167.62909375
transcript.pyannote[223].end 1168.72596875
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 1168.86096875
transcript.pyannote[224].end 1172.03346875
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 1172.62409375
transcript.pyannote[225].end 1173.58596875
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 1173.82221875
transcript.pyannote[226].end 1177.18034375
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 1177.31534375
transcript.pyannote[227].end 1178.88471875
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 1178.96909375
transcript.pyannote[228].end 1181.34846875
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 1181.80409375
transcript.pyannote[229].end 1183.22159375
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 1183.67721875
transcript.pyannote[230].end 1188.41909375
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 1189.09409375
transcript.pyannote[231].end 1190.27534375
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 1190.46096875
transcript.pyannote[232].end 1219.82346875
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 1220.04284375
transcript.pyannote[233].end 1220.83596875
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 1221.51096875
transcript.pyannote[234].end 1222.03409375
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 1225.74659375
transcript.pyannote[235].end 1227.83909375
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 1227.97409375
transcript.pyannote[236].end 1228.14284375
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 1228.39596875
transcript.pyannote[237].end 1232.53034375
transcript.whisperx[0].start 4.165
transcript.whisperx[0].end 17.053
transcript.whisperx[0].text 院會主席、我們敬愛的江副院長以及被提名者我們的考試院的副院長、提名者楊卓銘發言首先邀請被提名者我們請被提名人
transcript.whisperx[1].start 24.103
transcript.whisperx[1].end 44.521
transcript.whisperx[1].text 年金改革的影響與未來的調整策略本席要請問你要如何的去評估年金改革對於公務員群體的一個影響那如果未來政策需要做調整的時候你認為應該要優先去調整哪一些的問題請做說明
transcript.whisperx[2].start 48.283
transcript.whisperx[2].end 72.612
transcript.whisperx[2].text 謝謝我想我的了解是當年年輕改革有它的時空背景那事實上當年也有一些這個年輕的公務員他們也蠻擔心這個年輕改革如果不進行改革的話是不是等到他們要退休的時候會有領不到這個退休金的問題所以進行了相關的調整當然這些調整當然也會造成一些
transcript.whisperx[3].start 73.968
transcript.whisperx[3].end 97.059
transcript.whisperx[3].text 退休人員的這個影響所以我想你講到重點了對他們有的是股市經做有的金市股做對他們一個契約的一個信賴度是不夠完整的所以本市再一次請教你也點出那個問題也就是你認為如果需要進一步做調整你認為你應該要優先會處理哪一些的問題呢
transcript.whisperx[4].start 97.839
transcript.whisperx[4].end 119.584
transcript.whisperx[4].text 所以跟委員報告我了解目前的這個年輕改革制度裡面有規範兩個調整的空間一個就是每四年要檢討一次那另外就是這個消費者物價指數如果累計達到百分之政府百分之五副院長你現在所說的都是目前的ING進行式
transcript.whisperx[5].start 120.544
transcript.whisperx[5].end 138.896
transcript.whisperx[5].text 如果未來你真的當上了副院長的時候你預計你看到現在的面向民眾公務人員他是不安心的不管是在警、公、教他這個都不安心的情況之下你認為如果需要調整你會調整哪些問題優先調整哪些問題針對本席的議題提問我想當然目前我的了解
transcript.whisperx[6].start 146.392
transcript.whisperx[6].end 165.847
transcript.whisperx[6].text 調整的方案有幾個面向那還有一個部分是也許大家比較關心是所得替代力的問題那目前是原來規劃就是10年每一年逐年調降1.5%那這個目前應該是執行到一半還有5年的時間還沒有執行
transcript.whisperx[7].start 168.717
transcript.whisperx[7].end 196.269
transcript.whisperx[7].text 所以你認為所得替代欲是你未來如果當上這個位置你認為應該要優先去考慮去調整、去檢討的一個問題這個部分的調整我想需要有進一步的精算那也要尋求社會的共識還有對現職公務人員的影響我的了解是政府事實上在年金改革之後到目前為止對現職公務人員的這個薪資的調整已經調了
transcript.whisperx[8].start 197.042
transcript.whisperx[8].end 197.262
transcript.whisperx[8].text 委員會委員會委員會
transcript.whisperx[9].start 219.895
transcript.whisperx[9].end 245.528
transcript.whisperx[9].text 到底會是怎麼樣子我想這些應該要有數據精算的一個評估好 謝謝你的回答因為現在包括公教也希望政府來撥補一百億陸續那如果說哪個空缺就要政府來撥補而不是在整個制度面來做調整那本席認為還不是你當上這個副院長切入的議題
transcript.whisperx[10].start 246.388
transcript.whisperx[10].end 269.005
transcript.whisperx[10].text 所以本席再請教那在這樣的情況之下是不是應該去整理一套有制度面而且希望能夠正式入法而不是哪裡缺就哪裡要撥補我想我們的軍、工、警、教他不是去這啊他有他的榮耀啊他必須要有制度你贊成這樣的方向嗎
transcript.whisperx[11].start 270.932
transcript.whisperx[11].end 285.233
transcript.whisperx[11].text 我贊成整體的思維因為有些改革不是從單一個面向去看問題好 整體的思維本席也希望能夠聽到你的見解能夠聽到你的見解因為我再次強調我們的警攻教軍他不是騎車
transcript.whisperx[12].start 286.394
transcript.whisperx[12].end 304.319
transcript.whisperx[12].text 他是奉獻了一生他應當要有所得應當要這個榮耀所以我們希望政府應該要給他們一個榮耀也就是制度面的榮耀這是本期第一個提問接下來本期要請問退伍基金的一個永續經營政府經常告訴我告訴社會大眾說有政府都不會動
transcript.whisperx[13].start 306.892
transcript.whisperx[13].end 335.135
transcript.whisperx[13].text 突然只有這樣的口號我認為讓民眾已經疲乏而且這也不是一個有為政府應該講的話語而是要真正的怎麼樣讓人民有感讓人民有所保障所以本校請教面對退伍基金財力的壓力你有哪一些的建言可以來強化我們整個基金運作的效益那你是不是會考慮更多元的投資方式或者是制度的調整
transcript.whisperx[14].start 335.835
transcript.whisperx[14].end 358.732
transcript.whisperx[14].text 現在都告訴我們四大基金只要政府一聲令下進股市就護盤我覺得這個不是一個非常正確的方向協助政府是應當但是如果以這個為主力這是不是對我們整個這個層面以及制度來講是不榮耀的
transcript.whisperx[15].start 359.372
transcript.whisperx[15].end 382.778
transcript.whisperx[15].text 所以本校請教你認為目前我們的退伍基金要如何的來永續經營是不是應該可以有多元的一個投資或者是制度的調整請做說明是我的了解這個退伍基金事實上沒有進場護盤這件事不過退伍基金目前的一個操作經營方式一部分是委辦
transcript.whisperx[16].start 384.074
transcript.whisperx[16].end 407.768
transcript.whisperx[16].text 一部分是自行應用投資當然他有他的資產配置的一個調整你的一句話沒有進場護盤這句話本是不認同國家本來就是大家要團結有困難大家互相幫助但是你今天是提名人你馬上否決了目前政府在做那我不知道未來你要怎麼跟政府來做溝通讓人民有信賴有感
transcript.whisperx[17].start 408.368
transcript.whisperx[17].end 418.156
transcript.whisperx[17].text 所以我再次提出你有什麼樣的方案你認為可以多元的方式來投資或者是制度面的調整
transcript.whisperx[18].start 419.508
transcript.whisperx[18].end 438.147
transcript.whisperx[18].text 所以這幾年事實上整個的一個投資績效是不錯的不過坦白說這個績效不錯一方面是整個大環境事實上整個股市你這麼回答本來還是不認同目前我們的投資報酬率是13點多我們最高有19點多所以請你在我們退伍基金
transcript.whisperx[19].start 438.587
transcript.whisperx[19].end 456.401
transcript.whisperx[19].text 永續經營的這一塊你要多琢磨因為你如果說是不錯已經告訴你有討論的空間有提升的空間本期是希望以下我們所做的討論能夠聽到你的論點接下來本期要請問醫療人力與波波醫生的問題這幾天是時事議題
transcript.whisperx[20].start 459.443
transcript.whisperx[20].end 475.764
transcript.whisperx[20].text 那麼偏鄉的部分在邱部長這邊他也在上個禮拜在未完委員會他也特別提出希望以本國的為主希望以本國的國籍的為主以本國籍我們的一師為主那至於偏鄉的部分給予
transcript.whisperx[21].start 476.465
transcript.whisperx[21].end 477.346
transcript.whisperx[21].text 委員會主席
transcript.whisperx[22].start 493.422
transcript.whisperx[22].end 513.819
transcript.whisperx[22].text 伊健以及婆婆醫生最後還是要回到你這邊來國考所以本席要請教你認為考試院應該要怎麼樣協助因為都上了街頭時事新聞那麼你要怎麼樣協助相關的政策跟制度的改變來保障偏鄉居民基本的醫療的一個權益請做說明
transcript.whisperx[23].start 517.153
transcript.whisperx[23].end 542.986
transcript.whisperx[23].text 考選部辦理這邊醫師的考試基本上都是依照醫師法的規定來進行應考資格的審查那醫師的考試事實上他經過考選部第一階段考試之後還有一個實習的階段那經過實習之後才有第二次國家考試第二次國家考試之後才成為副院長你努力的在背目前政府的政策
transcript.whisperx[24].start 543.906
transcript.whisperx[24].end 562.389
transcript.whisperx[24].text 那既然你是新提名的副院長你應該有你的論點因為如果目前的政策是非常OK的那麼不會有這個時事新聞不會有大遊行當然我們是一個民主國家各自有各自的論點但是本期還是希望你針對於
transcript.whisperx[25].start 563.55
transcript.whisperx[25].end 587.215
transcript.whisperx[25].text 目前上街頭各自所見的這樣的一個情境民主國家一旦有不一樣的論點應該政府要去討論我們的制度有哪些是必須要去做調整這是本席給你的提問也給你的功課我希望你好好的去思考或許以前我們有所謂的公費保障生
transcript.whisperx[26].start 588.855
transcript.whisperx[26].end 616.981
transcript.whisperx[26].text 那是不是也可以用這種制度大力去推廣以保障偏鄉的醫療不足的部分是否可行你應該要好好的去研議而不是只有告訴我們目前現在正在做的這個制度好嗎我希望以下的討論希望可以聽到你的論點好嗎接下來本期要請教國家考試的公平性跟學歷認證那麼國內外有的認證有的不認證有的甚至回來他忘記了要去採證
transcript.whisperx[27].start 618.562
transcript.whisperx[27].end 645.702
transcript.whisperx[27].text 還要再去license 確認一下所以在這樣的情況之下我們國內外學歷的認證標準有時候會去引起了一個爭議那你認為在考試院在制定國家考試的規則的時候你要怎麼樣去確保它的一個公平性以避免特定群組的不公平待遇就陳儒這個禮拜上個禮拜
transcript.whisperx[28].start 647.984
transcript.whisperx[28].end 669.197
transcript.whisperx[28].text 一是這個大概引起了各方兩方的論戰跟遊行那這樣子會產生不公平的一個議題產生的時候特定群組那你未來你的考試院你認為要怎麼樣去調整這個制度可以讓他的公平性得以確保請做說明
transcript.whisperx[29].start 671.021
transcript.whisperx[29].end 686.882
transcript.whisperx[29].text 我想國家考試不管專機人員或者是公務員的考試像公務員相關的考試資格也定在公務員考試法醫師的部分就定在醫師法這一部分就我們所見到的問題我們當然會提供給衛福部做參考
transcript.whisperx[30].start 687.369
transcript.whisperx[30].end 716.232
transcript.whisperx[30].text 那這個不過當然考選部不是這個醫護人員的一個主管機關啦但是碰到問題我們一定會協助像護理師請暫停你的回答本期不希望聽到這樣子的一個論點說明因為我們在這裡非常理性的希望可以聽到你的見解你的見解而不是說考試院不是這個醫師的主管機關單位大家都知道但是問題是最後的國考在你這邊啦
transcript.whisperx[31].start 717.153
transcript.whisperx[31].end 734.921
transcript.whisperx[31].text 所以我還是希望能夠聽到你的論點給社會大眾去了解要讓我們的社會大眾我們的國民可以怎麼樣安心有一個公平性的權益請再說明所以如果是從我這邊辦理專屬國家考試的觀點
transcript.whisperx[32].start 738.702
transcript.whisperx[32].end 763.978
transcript.whisperx[32].text 當然尤其醫師醫護人員都直接關係到人民的一個生命那偏鄉我也知道偏鄉的醫療資源是比較缺乏所以我們怎麼樣子照顧到國人這應該是最優先的一個考量那如果說我們本國的醫生就已經足夠了那當然我們所培養的醫生都相當優秀當然是優先考量但是
transcript.whisperx[33].start 764.744
transcript.whisperx[33].end 791.923
transcript.whisperx[33].text 波波這個問題其實也不是只有我們台灣存在這個問題我曾經在次長的時候到芬蘭那邊去做這一方面的一個瞭解芬蘭他們自己有培養自己醫學院的學生但是他們也用了不少是波波就是到波蘭學醫學回到波蘭那邊去職業醫生專業上他們當然有把關另外他們會加考
transcript.whisperx[34].start 793.614
transcript.whisperx[34].end 807.623
transcript.whisperx[34].text 這個你去波蘭學但是你回來要考這個波蘭的語言波蘭大概有兩種主要語言是波蘭語跟瑞典語你要在語言上面這邊把關因為醫病的關係你一定要會他們當地的語言才有辦法去這個職業
transcript.whisperx[35].start 809.864
transcript.whisperx[35].end 834.619
transcript.whisperx[35].text 所以我想我們不要因為一個個案那前盤否定那我相信能夠通過國家考試那後面又有外部還有相關專業這個一個養成你要成為這個外科、內科這些專業養成這部分不是考選部負責那我相信也會有一些表現不錯的
transcript.whisperx[36].start 835.68
transcript.whisperx[36].end 858.929
transcript.whisperx[36].text 那我知道現在因為這些問題所以有一些我了解因為回來通過第一階段考試之後像牙醫師他沒辦法實習嘛他如果等個五年可能就會掉我知道目前也有人就直接在國外就業了他就在英國去做牙醫師本席還是請你先再調整一下你的思緒
transcript.whisperx[37].start 860.185
transcript.whisperx[37].end 882.03
transcript.whisperx[37].text 因為你現在所說的你很用心把世界各國的樣態舉例進來但是本席仍舊要提醒你是目前考試院的副院長的提名人你是針對我中華民國臺灣我們國家目前的現狀你的制度要怎麼去做你不是民意代表
transcript.whisperx[38].start 883.03
transcript.whisperx[38].end 912.43
transcript.whisperx[38].text 只有敘述你應該是要有你的論點跟你的制度怎麼樣的說法能夠得到委員的同意這才是我們今天運用了這麼多的時間跟你討論也希望聽到你的說明所以我仍舊希望聽到你未來如果擔任考試院副院長你認為考試院針對目前既有的制度但是引起了遊行跟引起了討論那你有什麼樣的制度去做調整這是本席要聽的
transcript.whisperx[39].start 913.47
transcript.whisperx[39].end 916.592
transcript.whisperx[39].text 現在大家都很清楚目前的狀態賴清德總統也說了目前我們的執行程度也就是每年55名
transcript.whisperx[40].start 940.606
transcript.whisperx[40].end 965.998
transcript.whisperx[40].text 破破學生那就按照制度去排隊不可以再增加目前的樣態是如何如此所以本期也希望台灣目前的現況你應該多了解那要怎麼樣去制度調整這是我們要的好嗎這次希望你多費點心那接下來本期要跟你討論的是行政中立與人事制度的一個調整
transcript.whisperx[41].start 966.678
transcript.whisperx[41].end 989.84
transcript.whisperx[41].text 行政中立行政中立是最高的一個原則也是民主的真諦 對不對所以你如何看待在考試院要推動人事制度改革的時候維持行政中立的重要性是否有具體的做法來平衡整個政治跟專業的需求
transcript.whisperx[42].start 990.501
transcript.whisperx[42].end 1012.963
transcript.whisperx[42].text 目前台灣社會裡頭有很多人會說政治壽命本期不希望聽到這個因為國家的公務人員是非常的重要一切都是在公務人員在做吸取民意去調整制度出來方向出來大家團結努力去做但是如果加上政治考量而非專業
transcript.whisperx[43].start 1014.224
transcript.whisperx[43].end 1040.176
transcript.whisperx[43].text 委員長請教提名人你認為在你的人事佈局當中的重力是不是應該要以專業的立場來做最重要的考量請說說明專業的這個考量當然是重要但是我知道到這個檢任級官員以上事實上他的職職系的流通放得比較寬
transcript.whisperx[44].start 1042.164
transcript.whisperx[44].end 1064.452
transcript.whisperx[44].text 這頁高階他強調的可能是跨領域的整合這一方面的專業能力而不是單一專業的能力所以我想這些的部分也是我們在人才選拔還有這個培訓上所以請教在你這個行政重力當中在你的制度你認為政治考量比較重要還是專業考量比較重要
transcript.whisperx[45].start 1065.643
transcript.whisperx[45].end 1083.233
transcript.whisperx[45].text 我覺得在文官體系當然要專業考量就這個專業考量能夠為國家做事情這是非常重要我們不希望只有政治任命沒有他的專業考量你會維持這個立場吧我們選拔的是國家的文官不是任何政黨的文官
transcript.whisperx[46].start 1084.774
transcript.whisperx[46].end 1103.388
transcript.whisperx[46].text 這句話我聽到你願意要以行政中立跟人事制度方面是要以專業考量這個是國家非常重要的必要因素因為你如果沒有專業考量那這個可能整個會歪樓啦我們不希望如此做那請教
transcript.whisperx[47].start 1104.268
transcript.whisperx[47].end 1126.455
transcript.whisperx[47].text 目前我們到現在為止你所看待的我們的政府在行政中立跟人事制度的調整剛剛我們已經討論出一個方向需要以專業考量非常好那你認為到目前為止我們考試院還有政府還有什麼需要做調整的你認為呢可以好上加好請說明
transcript.whisperx[48].start 1128.806
transcript.whisperx[48].end 1151.088
transcript.whisperx[48].text 我想當然這個未來在文官的培訓這一方面像這個鑑認生檢認這個高階文官部分目前是完全有信令這一部分那這個各機關推薦盜保訓會這邊來這個完成授信之後取得這個生檢認的一個官等
transcript.whisperx[49].start 1151.348
transcript.whisperx[49].end 1166.698
transcript.whisperx[49].text 那這一方面我想我們也會更加建立他對於整個國家忠誠度這一方面那維持行政中立這一方面的一個這個做法跟作為以國家的發展以人民的利益為優先
transcript.whisperx[50].start 1167.897
transcript.whisperx[50].end 1188.198
transcript.whisperx[50].text 這個非常重要因為最後我要給你一個數據告訴你我們以前就是說好好的讀書考上了公務人員是世界棒的非常非常的榮耀但是我們卻發覺最近這幾年來他這個榮耀感似乎沒那麼多
transcript.whisperx[51].start 1189.199
transcript.whisperx[51].end 1209.825
transcript.whisperx[51].text 市府沒那麼多那同時要來參這個考試的也沒那麼多這個比例所以由數字可以告訴我們他是在往下降的除了榮耀沒有這麼多那麼參加考試的也沒那麼多這個原因到底出在哪裡尤其現在少子化整個社會的面態、面向
transcript.whisperx[52].start 1211.826
transcript.whisperx[52].end 1221.973
transcript.whisperx[52].text 我覺得本席認為我們公務人員是至高無上我們希望給他們榮耀以他們的專業來做事情讓國家強大一起加油好謝謝楊委員謝謝貝提名人下一位請張祺凱委員
IVOD_ID 157444
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/157444
日期 2024-11-26
影片種類 Clip
開始時間 2024-11-26T14:38:31+08:00
結束時間 2024-11-26T14:59:04+08:00
支援功能[0] ai-transcript