iVOD / 157706

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/884fcb4bd77b706394df111dfc9df8624bb3245ee31dfdd0e867e6df39dfd90a1c8d1a4ee289610d5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 楊瓊瓔
委員發言時間 16:01:45 - 16:22:07
影片長度 1222
會議時間 2024-11-29T14:30:00+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_00
transcript.pyannote[0].start 6.69659375
transcript.pyannote[0].end 15.03284375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 15.58971875
transcript.pyannote[1].end 16.90596875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 23.06534375
transcript.pyannote[2].end 23.62221875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 23.87534375
transcript.pyannote[3].end 36.37971875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 36.54846875
transcript.pyannote[4].end 45.20534375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 45.45846875
transcript.pyannote[5].end 48.73221875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 48.95159375
transcript.pyannote[6].end 64.88159375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 65.23596875
transcript.pyannote[7].end 69.13409375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 69.47159375
transcript.pyannote[8].end 87.42659375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 87.66284375
transcript.pyannote[9].end 91.47659375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 91.88159375
transcript.pyannote[10].end 92.72534375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 92.96159375
transcript.pyannote[11].end 93.63659375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 94.61534375
transcript.pyannote[12].end 95.88096875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 96.20159375
transcript.pyannote[13].end 101.51721875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 101.41596875
transcript.pyannote[14].end 102.04034375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 101.87159375
transcript.pyannote[15].end 103.66034375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 103.91346875
transcript.pyannote[16].end 105.26346875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 105.58409375
transcript.pyannote[17].end 107.05221875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 107.06909375
transcript.pyannote[18].end 107.08596875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 107.18721875
transcript.pyannote[19].end 111.08534375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 111.57471875
transcript.pyannote[20].end 124.01159375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 124.58534375
transcript.pyannote[21].end 127.87596875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 128.16284375
transcript.pyannote[22].end 130.57596875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 130.91346875
transcript.pyannote[23].end 132.31409375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 132.58409375
transcript.pyannote[24].end 135.31784375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 135.38534375
transcript.pyannote[25].end 138.54096875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 138.72659375
transcript.pyannote[26].end 144.34596875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 144.68346875
transcript.pyannote[27].end 151.72034375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 152.31096875
transcript.pyannote[28].end 161.64284375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 161.10284375
transcript.pyannote[29].end 198.49784375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 199.62846875
transcript.pyannote[30].end 205.23096875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 205.28159375
transcript.pyannote[31].end 208.80846875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 209.01096875
transcript.pyannote[32].end 211.23846875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 211.55909375
transcript.pyannote[33].end 213.17909375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 213.44909375
transcript.pyannote[34].end 215.17034375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 215.45721875
transcript.pyannote[35].end 218.42721875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 218.86596875
transcript.pyannote[36].end 221.48159375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 221.81909375
transcript.pyannote[37].end 226.88159375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 227.16846875
transcript.pyannote[38].end 239.60534375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 239.75721875
transcript.pyannote[39].end 248.04284375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 246.08534375
transcript.pyannote[40].end 251.14784375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 251.67096875
transcript.pyannote[41].end 255.28221875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 255.51846875
transcript.pyannote[42].end 278.68784375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 279.10971875
transcript.pyannote[43].end 282.06284375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 282.14721875
transcript.pyannote[44].end 285.25221875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 285.52221875
transcript.pyannote[45].end 294.33096875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 294.82034375
transcript.pyannote[46].end 306.14346875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 306.16034375
transcript.pyannote[47].end 328.72221875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 328.85721875
transcript.pyannote[48].end 334.71284375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 334.94909375
transcript.pyannote[49].end 336.70409375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 337.09221875
transcript.pyannote[50].end 341.37846875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 341.64846875
transcript.pyannote[51].end 367.16346875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 367.41659375
transcript.pyannote[52].end 373.79534375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 374.52096875
transcript.pyannote[53].end 383.32971875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 383.56596875
transcript.pyannote[54].end 387.32909375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 387.68346875
transcript.pyannote[55].end 392.00346875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 392.34096875
transcript.pyannote[56].end 394.38284375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 394.61909375
transcript.pyannote[57].end 399.76596875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 399.96846875
transcript.pyannote[58].end 403.93409375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 404.13659375
transcript.pyannote[59].end 405.18284375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 405.52034375
transcript.pyannote[60].end 412.35471875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 412.55721875
transcript.pyannote[61].end 431.18721875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 431.32221875
transcript.pyannote[62].end 433.34721875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 433.83659375
transcript.pyannote[63].end 436.70534375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 436.90784375
transcript.pyannote[64].end 441.76784375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 442.35846875
transcript.pyannote[65].end 443.28659375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 443.57346875
transcript.pyannote[66].end 444.83909375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 445.66596875
transcript.pyannote[67].end 447.62346875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 447.89346875
transcript.pyannote[68].end 472.64909375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 472.95284375
transcript.pyannote[69].end 473.34096875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 473.56034375
transcript.pyannote[70].end 475.50096875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 475.75409375
transcript.pyannote[71].end 479.11221875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 479.36534375
transcript.pyannote[72].end 483.75284375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 484.57971875
transcript.pyannote[73].end 485.40659375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 485.62596875
transcript.pyannote[74].end 485.81159375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 486.28409375
transcript.pyannote[75].end 493.52346875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 493.59096875
transcript.pyannote[76].end 496.61159375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 496.81409375
transcript.pyannote[77].end 498.14721875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 498.51846875
transcript.pyannote[78].end 498.90659375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 499.05846875
transcript.pyannote[79].end 500.32409375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 500.67846875
transcript.pyannote[80].end 501.33659375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 501.82596875
transcript.pyannote[81].end 502.51784375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 502.75409375
transcript.pyannote[82].end 503.19284375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 503.42909375
transcript.pyannote[83].end 507.25971875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 507.54659375
transcript.pyannote[84].end 511.73159375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 512.28846875
transcript.pyannote[85].end 521.33346875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 521.48534375
transcript.pyannote[86].end 524.33721875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 524.62409375
transcript.pyannote[87].end 532.40346875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 532.82534375
transcript.pyannote[88].end 533.29784375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 533.50034375
transcript.pyannote[89].end 536.94284375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 537.33096875
transcript.pyannote[90].end 537.70221875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 537.73596875
transcript.pyannote[91].end 541.31346875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 541.63409375
transcript.pyannote[92].end 547.33784375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 547.47284375
transcript.pyannote[93].end 549.73409375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 550.37534375
transcript.pyannote[94].end 552.88971875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 553.42971875
transcript.pyannote[95].end 555.84284375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 556.09596875
transcript.pyannote[96].end 558.42471875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 558.57659375
transcript.pyannote[97].end 565.22534375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 566.81159375
transcript.pyannote[98].end 571.18221875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 571.73909375
transcript.pyannote[99].end 576.27846875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 576.86909375
transcript.pyannote[100].end 580.63221875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 581.03721875
transcript.pyannote[101].end 584.51346875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 585.05346875
transcript.pyannote[102].end 591.78659375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 592.05659375
transcript.pyannote[103].end 594.99284375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 595.36409375
transcript.pyannote[104].end 596.42721875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 596.93346875
transcript.pyannote[105].end 597.89534375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 598.36784375
transcript.pyannote[106].end 599.17784375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 599.54909375
transcript.pyannote[107].end 601.21971875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 601.55721875
transcript.pyannote[108].end 603.98721875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 604.35846875
transcript.pyannote[109].end 604.39221875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 604.56096875
transcript.pyannote[110].end 620.06909375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 620.60909375
transcript.pyannote[111].end 628.92846875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 629.95784375
transcript.pyannote[112].end 636.91034375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 636.99471875
transcript.pyannote[113].end 649.02659375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 649.60034375
transcript.pyannote[114].end 652.78971875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 653.02596875
transcript.pyannote[115].end 655.43909375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 655.64159375
transcript.pyannote[116].end 657.73409375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 657.98721875
transcript.pyannote[117].end 666.10409375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 666.35721875
transcript.pyannote[118].end 685.83096875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 686.16846875
transcript.pyannote[119].end 691.39971875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 691.68659375
transcript.pyannote[120].end 692.41221875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 692.63159375
transcript.pyannote[121].end 698.50409375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 699.66846875
transcript.pyannote[122].end 709.64159375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 710.21534375
transcript.pyannote[123].end 712.29096875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 712.66221875
transcript.pyannote[124].end 713.37096875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 713.38784375
transcript.pyannote[125].end 714.72096875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 714.87284375
transcript.pyannote[126].end 722.06159375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 722.38221875
transcript.pyannote[127].end 728.23784375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 728.71034375
transcript.pyannote[128].end 729.55409375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 729.90846875
transcript.pyannote[129].end 732.40596875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 732.81096875
transcript.pyannote[130].end 735.15659375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 735.42659375
transcript.pyannote[131].end 735.71346875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 736.20284375
transcript.pyannote[132].end 737.38409375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 737.56971875
transcript.pyannote[133].end 743.67846875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 743.77971875
transcript.pyannote[134].end 745.53471875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 745.75409375
transcript.pyannote[135].end 759.57471875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 759.57471875
transcript.pyannote[136].end 759.59159375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 760.60409375
transcript.pyannote[137].end 776.28096875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 776.28096875
transcript.pyannote[138].end 776.34846875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 776.34846875
transcript.pyannote[139].end 779.72346875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 780.04409375
transcript.pyannote[140].end 782.69346875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 783.16596875
transcript.pyannote[141].end 795.09659375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 796.21034375
transcript.pyannote[142].end 801.15471875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 801.17159375
transcript.pyannote[143].end 801.77909375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 802.15034375
transcript.pyannote[144].end 804.64784375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 804.85034375
transcript.pyannote[145].end 806.47034375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 806.70659375
transcript.pyannote[146].end 814.21596875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 813.62534375
transcript.pyannote[147].end 814.30034375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 814.35096875
transcript.pyannote[148].end 817.38846875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 817.52346875
transcript.pyannote[149].end 820.15596875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 820.69596875
transcript.pyannote[150].end 829.67346875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 829.67346875
transcript.pyannote[151].end 836.77784375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 836.96346875
transcript.pyannote[152].end 840.77721875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 840.01784375
transcript.pyannote[153].end 841.01346875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 841.01346875
transcript.pyannote[154].end 842.04284375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 842.44784375
transcript.pyannote[155].end 846.91971875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 843.17346875
transcript.pyannote[156].end 844.00034375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 846.19409375
transcript.pyannote[157].end 847.03784375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 847.12221875
transcript.pyannote[158].end 853.85534375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 854.17596875
transcript.pyannote[159].end 856.48784375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 857.02784375
transcript.pyannote[160].end 857.75346875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 858.04034375
transcript.pyannote[161].end 859.32284375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 859.62659375
transcript.pyannote[162].end 877.37909375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 877.51409375
transcript.pyannote[163].end 894.77721875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 895.28346875
transcript.pyannote[164].end 920.32596875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 920.32596875
transcript.pyannote[165].end 935.74971875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 920.34284375
transcript.pyannote[166].end 920.35971875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 936.00284375
transcript.pyannote[167].end 953.65409375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 953.87346875
transcript.pyannote[168].end 954.59909375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 954.70034375
transcript.pyannote[169].end 973.43159375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 973.56659375
transcript.pyannote[170].end 992.26409375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 992.56784375
transcript.pyannote[171].end 1001.66346875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 1001.91659375
transcript.pyannote[172].end 1004.53221875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 1005.32534375
transcript.pyannote[173].end 1006.91159375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 1007.55284375
transcript.pyannote[174].end 1009.34159375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 1009.93221875
transcript.pyannote[175].end 1015.51784375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 1015.72034375
transcript.pyannote[176].end 1017.12096875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 1017.47534375
transcript.pyannote[177].end 1020.29346875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 1020.78284375
transcript.pyannote[178].end 1023.33096875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 1023.68534375
transcript.pyannote[179].end 1025.06909375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 1025.42346875
transcript.pyannote[180].end 1027.97159375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 1028.41034375
transcript.pyannote[181].end 1031.58284375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 1031.86971875
transcript.pyannote[182].end 1034.77221875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 1035.21096875
transcript.pyannote[183].end 1036.67909375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 1037.21909375
transcript.pyannote[184].end 1038.18096875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 1038.65346875
transcript.pyannote[185].end 1040.54346875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 1041.89346875
transcript.pyannote[186].end 1042.41659375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 1042.65284375
transcript.pyannote[187].end 1042.68659375
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 1042.68659375
transcript.pyannote[188].end 1055.25846875
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 1055.54534375
transcript.pyannote[189].end 1060.57409375
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 1060.82721875
transcript.pyannote[190].end 1066.91909375
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 1067.13846875
transcript.pyannote[191].end 1075.40721875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 1075.50846875
transcript.pyannote[192].end 1080.89159375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 1081.26284375
transcript.pyannote[193].end 1081.70159375
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 1081.78596875
transcript.pyannote[194].end 1082.84909375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 1083.28784375
transcript.pyannote[195].end 1088.67096875
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 1088.73846875
transcript.pyannote[196].end 1090.27409375
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 1090.74659375
transcript.pyannote[197].end 1092.67034375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 1093.10909375
transcript.pyannote[198].end 1094.94846875
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 1095.11721875
transcript.pyannote[199].end 1096.93971875
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 1097.20971875
transcript.pyannote[200].end 1098.94784375
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 1099.33596875
transcript.pyannote[201].end 1106.44034375
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 1107.28409375
transcript.pyannote[202].end 1109.86596875
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 1110.18659375
transcript.pyannote[203].end 1134.08159375
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 1134.19971875
transcript.pyannote[204].end 1139.19471875
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 1135.41471875
transcript.pyannote[205].end 1136.07284375
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 1139.54909375
transcript.pyannote[206].end 1140.03846875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 1140.34221875
transcript.pyannote[207].end 1141.75971875
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 1141.84409375
transcript.pyannote[208].end 1143.24471875
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 1143.53159375
transcript.pyannote[209].end 1148.72909375
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 1148.72909375
transcript.pyannote[210].end 1148.74596875
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 1149.77534375
transcript.pyannote[211].end 1153.18409375
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 1154.16284375
transcript.pyannote[212].end 1157.06534375
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 1157.75721875
transcript.pyannote[213].end 1161.09846875
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 1161.33471875
transcript.pyannote[214].end 1164.18659375
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 1164.47346875
transcript.pyannote[215].end 1167.46034375
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 1167.49409375
transcript.pyannote[216].end 1173.04596875
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 1173.23159375
transcript.pyannote[217].end 1180.28534375
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 1180.58909375
transcript.pyannote[218].end 1189.51596875
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 1189.81971875
transcript.pyannote[219].end 1193.98784375
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 1194.29159375
transcript.pyannote[220].end 1195.38846875
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 1195.92846875
transcript.pyannote[221].end 1203.60659375
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 1203.92721875
transcript.pyannote[222].end 1205.61471875
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 1206.20534375
transcript.pyannote[223].end 1207.89284375
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 1207.74096875
transcript.pyannote[224].end 1208.26409375
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 1208.43284375
transcript.pyannote[225].end 1212.44909375
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 1212.61784375
transcript.pyannote[226].end 1215.13221875
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 1215.62159375
transcript.pyannote[227].end 1217.84909375
transcript.pyannote[228].speaker SPEAKER_00
transcript.pyannote[228].start 1218.65909375
transcript.pyannote[228].end 1219.11471875
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 1219.87409375
transcript.pyannote[229].end 1219.97534375
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 1219.97534375
transcript.pyannote[230].end 1220.59971875
transcript.pyannote[231].speaker SPEAKER_00
transcript.pyannote[231].start 1220.59971875
transcript.pyannote[231].end 1220.63346875
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 1220.92034375
transcript.pyannote[232].end 1222.08471875
transcript.whisperx[0].start 7.679
transcript.whisperx[0].end 16.671
transcript.whisperx[0].text 謝謝院會主席、江副院長、被提名者以及新聞界的朋友、各位同仁、楊卿瑩發言首先邀請提名者請求被提名人
transcript.whisperx[1].start 24.992
transcript.whisperx[1].end 40.051
transcript.whisperx[1].text 首先我們來針對於職場霸凌的防治機制我們來做討論因為你也是在環保方面海洋方面非常的專精那同時也擔任過我們的部分區的這個立委
transcript.whisperx[2].start 40.692
transcript.whisperx[2].end 56.499
transcript.whisperx[2].text 所以在民意跟專業領域當面都有加成的作用但是你現在是被提名為考試委員所以也針對於在職場霸凌的這個部分我認為必須要首一的課題來跟你一起討論
transcript.whisperx[3].start 57.919
transcript.whisperx[3].end 80.164
transcript.whisperx[3].text 所以你認為現行的公務體系是不是它能夠有效的來防止職場霸凌在目前的機制那麼未來你認為還有什麼樣的建言什麼樣的相關規範可以來協助讓這個職場能夠更加的友善更加的安全那同時
transcript.whisperx[4].start 81.544
transcript.whisperx[4].end 93.554
transcript.whisperx[4].text 也希望你提出要怎麼樣保障受害者的權益還有如果萬一發生的時候應當要有怎麼樣的管道來做處理請做說明
transcript.whisperx[5].start 95.03
transcript.whisperx[5].end 110.941
transcript.whisperx[5].text 謝謝委員隨選我想這個發生霸凌事件那顯然就是我們的機制有所不足這是令人心痛的一件事情但是以考試院來說當然我們有公務人員的保障法
transcript.whisperx[6].start 111.561
transcript.whisperx[6].end 113.162
transcript.whisperx[6].text Iwan NawiIwan Nawi
transcript.whisperx[7].start 129.348
transcript.whisperx[7].end 151.558
transcript.whisperx[7].text 人事行政總署、相關部會都有霸凌防治的建議作為、標準程序、處理要點、處置作業的辦法等等其實辦法是蠻多的只是感覺上可以做一個更好的統整
transcript.whisperx[8].start 152.378
transcript.whisperx[8].end 153.098
transcript.whisperx[8].text Iwan Nawi
transcript.whisperx[9].start 176.389
transcript.whisperx[9].end 198.269
transcript.whisperx[9].text 讓職場的人員有所安全感尤其在公職方面所以你也誠懇地回答出是有改善跟討論的一個空間我們也希望也就是如果設置一個獨立的申訴機制你認為有沒有這個必要性
transcript.whisperx[10].start 200.033
transcript.whisperx[10].end 221.293
transcript.whisperx[10].text 這個獨立的機制事實上依照我們現在的現行機制比如說我們這個保障法裡面我們可以透過一個程序比如說附診、申訴、代申訴但是在體制內或者體制外是不是還要一個考量我想今天應該是戴總統也有提到
transcript.whisperx[11].start 221.914
transcript.whisperx[11].end 250.177
transcript.whisperx[11].text 就是將來是不是在院級有一個專責的通報系統類似這個當然這個部分還是一個初步的構想我想我們還是需要來討論一下看看用什麼樣的方式避免所謂的關關相護或者是他的下情不能上達的情況所以我想這個制度的建立需要更審慎一點但是就應了您剛剛所說的也就是避免關關相護
transcript.whisperx[12].start 251.578
transcript.whisperx[12].end 252.238
transcript.whisperx[12].text 我希望能夠好好地去探討
transcript.whisperx[13].start 279.53
transcript.whisperx[13].end 305.904
transcript.whisperx[13].text 這個制度怎麼樣讓它更完整那你應該認同這樣的一個方向吧認同因為國內其實各機關的這個機能能夠發揮充分發揮是非常重要全國有將近7000個行政機關有這麼多的機關這個部分其實是應該各自扮演好的角色但是那個總體的機制怎麼樣建立這是大家應該共同思考
transcript.whisperx[14].start 306.544
transcript.whisperx[14].end 334.2
transcript.whisperx[14].text 7000多個機關的確必須要好好的去整治那尤其最近沸沸揚揚這些事件我想這不是一個有違的政府民主政治裡頭政府應該會有產生這樣的現象這是不應當的而且是全民撻伐的所以我們既然有這個共識我們繼續來討論也就是針對在基層的公務人員的特別保護在基層的這一環
transcript.whisperx[15].start 335.06
transcript.whisperx[15].end 351.36
transcript.whisperx[15].text 因為基層人員他因為職位相對的一個弱勢那他很容易去成為職場的被霸凌的這個受害者在這樣的情況之下你認為在保護基層人員方面也是不是應該
transcript.whisperx[16].start 352.541
transcript.whisperx[16].end 373.719
transcript.whisperx[16].text 要讓他有怎麼樣申訴的管道讓他有可以敢講出來而且沒有官官相護而且沒有七上滿下的這個情況是不是應該要設置特別的這個措施來針對於基層的公務人員這些比較相對弱勢者請做說明
transcript.whisperx[17].start 374.731
transcript.whisperx[17].end 397.111
transcript.whisperx[17].text 是的,我想過去行政院這邊也有希望各個機關訂定員工協助方案包括他的心理諮商、意見抒發等等事實上我們辦法好像是蠻多的方案也有,所以這個到底績效如何我覺得這應該是要做這個機會要做一個重體的檢討
transcript.whisperx[18].start 400.254
transcript.whisperx[18].end 415.102
transcript.whisperx[18].text 至於說過去考試院這邊訂定公務人員的安全保衛生防護辦法基本上它是比較因為過去訂定的時候考量的問題可能比較單純一點
transcript.whisperx[19].start 417.123
transcript.whisperx[19].end 417.683
transcript.whisperx[19].text 主席主席主席
transcript.whisperx[20].start 445.717
transcript.whisperx[20].end 471.446
transcript.whisperx[20].text 學生在學校有授課權那最重要的不只是自有知識而且要保護他們的身心健康這一點非常的重要那所以因此在我們整個公務人員的基層這個最基層的公教的這一塊本身也希望能夠好好的去琢磨讓他們不是成為是弱勢者不是成為最容易被霸凌者我們應該好好的保護他們讓他發揮所長對不對是的
transcript.whisperx[21].start 473.607
transcript.whisperx[21].end 476.249
transcript.whisperx[21].text 超越黨派的具體實踐考試委員的職責應該要超越黨派
transcript.whisperx[22].start 486.594
transcript.whisperx[22].end 506.786
transcript.whisperx[22].text 所以我本需要請教在你行使這個職權當中你要怎麼樣維持中立避免政黨的影響你是不是有什麼樣的具體思維跟做法我想任何一個公務員要維持這個中立
transcript.whisperx[23].start 508.006
transcript.whisperx[23].end 536.809
transcript.whisperx[23].text 因為公務人員有行政中立法所以它裡面有相當多的規定跟政黨之間的互動關係應該保持上什麼樣的分際這裡面有相當的規範所以我想一般來談對於行政中立法的落實、遵守其實非常重要但另外一方面以個人來講我沒有什麼太明顯的政治色彩
transcript.whisperx[24].start 537.929
transcript.whisperx[24].end 565.015
transcript.whisperx[24].text 因為我覺得我們學海洋的人你看到海洋有藍有綠其實是跟你的水的深度、地形、光線的擇色有關係但是你把海水撈起來是沒有顏色的所以我一向秉持的觀念就是國家的事務其實是大家的事務不應該有任何黨派的思維但是黨派的政黨的一個想法可能有它的理想我們應該要尊重
transcript.whisperx[25].start 567.477
transcript.whisperx[25].end 584.026
transcript.whisperx[25].text 這個回答是平穩的回答但是我們的社會面向覺得歪樓的還是有所以本席會特別提出雖然我們有行政中立法但是重點是在能不能落實之
transcript.whisperx[26].start 585.286
transcript.whisperx[26].end 603.821
transcript.whisperx[26].text 所以本席也希望就誠如你所說的這一個考試委員是要超越黨派為國家做事那所以本席要跟你討論一個實質上的問題您接受提名的理由是什麼呢因為也有人質疑你在黨內你現在還是國民黨的身份吧
transcript.whisperx[27].start 604.662
transcript.whisperx[27].end 628.735
transcript.whisperx[27].text 在黨內並沒有依照黨章事先來報備但是你的提名似乎是跟你自己的學術專業背景或者是你的個人價值觀是不是有更深超越黨派的一個契合所以本席願意讓你說明你接受提名的關鍵考量是什麼呢
transcript.whisperx[28].start 630.511
transcript.whisperx[28].end 648.784
transcript.whisperx[28].text 關鍵考量就是希望因為我曾經在政府機關服務過也在立法機關服務過我認為我們從事公職應該就是要朝頭黨派為全國民眾服務但是這個事情的申請或者是辦理其實我是依照
transcript.whisperx[29].start 650.766
transcript.whisperx[29].end 671.32
transcript.whisperx[29].text 總統府秘書長在3月5日他行文給全國150所的大學院校他提出來希望是廣徵各方的人才所以我非常單純的就是從這個管道當時我並不清楚說有什麼政黨推薦的要經過黨章的規定我完全不知道
transcript.whisperx[30].start 672.481
transcript.whisperx[30].end 697.997
transcript.whisperx[30].text 我的理想非常的簡單就是依照憲法88條的規定操脫黨派之外獨立行使職權所以這個部分完全沒有想過怎麼樣去要通過黨的規定或者是說他的推薦但是在我離開因為記者會一結束我立刻聯絡了黃建廷秘書長
transcript.whisperx[31].start 699.704
transcript.whisperx[31].end 714.373
transcript.whisperx[31].text 然後因為我知道我作為一個黨員我當然碰到這事情一定要向黨中央報告所以我在第一時間1點鐘的時候我就跟他聯繫3點鐘的時候獲得他的回答那要我在
transcript.whisperx[32].start 714.813
transcript.whisperx[32].end 721.115
transcript.whisperx[32].text Iwan Nawi為考試院第十四屆院長.許舒翔為考試院第十四屆院長.邱文彥、Iwan NawiIwan Nawi
transcript.whisperx[33].start 740.524
transcript.whisperx[33].end 759.023
transcript.whisperx[33].text 我從小年輕作為一個公務人員﹐我也知道有一些經驗﹐我能不能把這個經驗傳承﹐甚至能夠協助政府的建立﹐讓我們的文官制度能夠獲得更好的鞏固﹐甚至保障我們的公務人員的權益﹐基本上是想得非常單純﹐
transcript.whisperx[34].start 760.846
transcript.whisperx[34].end 784.001
transcript.whisperx[34].text 這麼多時間願意讓你說明也就是外面的質疑當然你現在的回答是說因為你不知道有這些黨章的規定所以你也不是不禮貌本席可以如此解讀嗎是那所以呢本席還是要再請教您接受提名的關鍵考量除了你剛剛說的從3月份開始這個徵詢
transcript.whisperx[35].start 789.605
transcript.whisperx[35].end 794.961
transcript.whisperx[35].text 一直到最後你決定接受最重要的關鍵考量到底是什麼
transcript.whisperx[36].start 796.411
transcript.whisperx[36].end 819.917
transcript.whisperx[36].text 事實上這個整個審見的作業是到最後的時候我們才知道因為我們都不清楚這個過程當中到底你有沒有被提名所以直到他真正公佈的時候我才知道還有其他人哪些人所以這些的委員我還是提名因為公佈之後你就知道你有沒有被提名所以本席要請教當你
transcript.whisperx[37].start 820.697
transcript.whisperx[37].end 841.876
transcript.whisperx[37].text 公布要被提名了那你同意或者不同意的時候你的關鍵選擇了同意那你的最關鍵的考量到底是什麼最關鍵的考量還是希望說我們在海洋跟環境方面的領域能夠繼續進行下去來做進一步的人才的培育比如說海洋跟什麼呢海洋跟環境
transcript.whisperx[38].start 842.523
transcript.whisperx[38].end 862.111
transcript.whisperx[38].text 海洋跟環境就你的本專專業的部分因為我發現在這個部分比如說委員非常關心像永續發展的部分像國土計畫那比如說未來的這個都市計畫基石估價石還有這個地震室是不是在這個部分他在國土計畫上面這個
transcript.whisperx[39].start 863.231
transcript.whisperx[39].end 866.113
transcript.whisperx[39].text Iwan NawiIwan NawiIwan Nawi
transcript.whisperx[40].start 892.348
transcript.whisperx[40].end 919.466
transcript.whisperx[40].text 因為現在的考試委員只有7個人所以其實是領域就缺了我們這個部分我們一直聲稱我們是一個海洋的國家是一個環保立國或是立憲的這個理念就像委員對這個中火的這個關心等等都是環境問題非常的重要但是要有人幫他去思考讓到我們的人才的培育選拔的時候能夠真正適合台灣
transcript.whisperx[41].start 920.046
transcript.whisperx[41].end 920.226
transcript.whisperx[41].text 國土計劃法
transcript.whisperx[42].start 936.107
transcript.whisperx[42].end 936.227
transcript.whisperx[42].text 委員會主席
transcript.whisperx[43].start 955.417
transcript.whisperx[43].end 982.888
transcript.whisperx[43].text 他公告的時間是到明年的4月份要執行本席也提案希望能夠延後兩年就是在整個相關的配套必須要完整才上路讓我們所有的基層大家都能夠安心這是目前的氛圍我相信你剛才提到這個也看到目前社會的面向的一個需求所以本席也希望能夠提供真正有所改革
transcript.whisperx[44].start 983.448
transcript.whisperx[44].end 1004.313
transcript.whisperx[44].text 有所需求去結合社會的需要以及達到國家最高的利益這是非常重要的一環所以接下來本期要請教在我們考試院在政府的體系當中我們這些的職長跟功能那對於考試院在政府體系的功能
transcript.whisperx[45].start 1005.353
transcript.whisperx[45].end 1023.116
transcript.whisperx[45].text 大家似乎現在覺得說這考試院到底是在幹什麼甚至還有說考試院到底要廢不廢還有這個聲音出來當一個機關如果被討論到存廢的問題那這個政府是真的要大大的改革
transcript.whisperx[46].start 1023.777
transcript.whisperx[46].end 1040.157
transcript.whisperx[46].text 大大的檢討所以在這樣的情況之下本席要請教我們考試院的功能建議因為現在已經有提到存廢問題考試院的功能建議就你的看法你有什麼樣的建議
transcript.whisperx[47].start 1042.851
transcript.whisperx[47].end 1066.596
transcript.whisperx[47].text 考試院是最重要的一個憲政機關也就是當時是依照我們孫中山先生的一個理想提出來所以當時會把考試院單獨拉出來是希望不要私自用人變成濫用人才濫用自己的人才是希望達到公平正義的一個角度才會有五院的這個想法特別是考試院獨立出來
transcript.whisperx[48].start 1067.436
transcript.whisperx[48].end 1090.092
transcript.whisperx[48].text 當然現在有些的業務比如說人事行政總署等等它也有負擔一部分的訓練在職訓練的部分但是我們還是認為說在現在的體制之下現在的憲政體制之下除非是修憲修憲當然我們就到最後看社會的共識跟國會的一個決定對你本身的看法呢
transcript.whisperx[49].start 1090.759
transcript.whisperx[49].end 1106.282
transcript.whisperx[49].text 我本身的看法我是認為說不管將來的這個考試院他是併不併或者是廢不廢其實非常重要的我們看國外的一個例子就是人事人才的這個選拔必須具有獨立性
transcript.whisperx[50].start 1107.523
transcript.whisperx[50].end 1136.258
transcript.whisperx[50].text 要不要獨立選否則的話就是濫用私人那我覺得這個部分還是要當然另外一方面我們人才的選拔必須要有品質所以這個合格的一個人員到底怎麼領選考試的辦法是怎麼樣也有跟用人機關之間的關係又是怎麼樣這些都是要通盤的考慮所以我對廢不廢的考試院我其實我完全尊重國會的這個決定假設最後是完全尊重什麼
transcript.whisperx[51].start 1137.499
transcript.whisperx[51].end 1152.93
transcript.whisperx[51].text 國會最後的這個決定因為這涉及到修憲但是我基本上我還是認為說考試院還是要盡可能維持他的人事權的獨立還好你最後補上這一句話不然真的會讓我嚇一跳
transcript.whisperx[52].start 1154.229
transcript.whisperx[52].end 1177.575
transcript.whisperx[52].text 因為你今天是被提名的考試委員那麼對於我們整個人才的一個培訓全世界最重要的也就是人才的培訓這是無上的一個職產所以我們仍舊希望讓我們我們台灣人每一位都是非常的有能力而且以往考上了公家可以說是整天在籌碼做
transcript.whisperx[53].start 1178.355
transcript.whisperx[53].end 1198.932
transcript.whisperx[53].text 是整個家族之光啊但是我真就非常的希望一個有為的政府如果人民是信賴公務人員這個國家才能夠成長但是現在的氛圍不盡然所以我非常的希望讓我們的公務人員恢復我們的榮耀恢復我們友善的職場讓他們能夠盡情的揮灑盡情的去發揮這個國家才能夠成長
transcript.whisperx[54].start 1206.378
transcript.whisperx[54].end 1206.738
transcript.whisperx[54].text 謝謝委員指教
IVOD_ID 157706
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/157706
日期 2024-11-29
影片種類 Clip
開始時間 2024-11-29T16:01:45+08:00
結束時間 2024-11-29T16:22:07+08:00
支援功能[0] ai-transcript