| IVOD_ID |
167695 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/167695 |
| 日期 |
2026-03-19 |
| 會議資料.會議代碼 |
委員會-11-5-36-2 |
| 會議資料.會議代碼:str |
第11屆第5會期司法及法制委員會第2次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
5 |
| 會議資料.會次 |
2 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
36 |
| 會議資料.委員會代碼:str[0] |
司法及法制委員會 |
| 會議資料.標題 |
第11屆第5會期司法及法制委員會第2次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2026-03-19T09:55:18+08:00 |
| 結束時間 |
2026-03-19T10:10:13+08:00 |
| 影片長度 |
00:14:55 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ddc1636ead3b8e59b66b5cd7f74046d19f861acbcf5e15015e5c86e8186f6ced0cc001442e8e29285ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
沈發惠 |
| 委員發言時間 |
09:55:18 - 10:10:13 |
| 會議時間 |
2026-03-19T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第5會期司法及法制委員會第2次全體委員會議（事由：邀請考試院秘書長、考選部部長、銓敘部部長及公務人員保障暨培訓委員會主任委員列席報告業務概況及立法計畫，並備質詢。
【3月18日及19日兩天一次會】） |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
12.90659375 |
| transcript.pyannote[0].end |
15.20159375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
15.47159375 |
| transcript.pyannote[1].end |
16.50096875 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
16.83846875 |
| transcript.pyannote[2].end |
32.02596875 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
32.75159375 |
| transcript.pyannote[3].end |
34.21971875 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
34.62471875 |
| transcript.pyannote[4].end |
41.59409375 |
| transcript.pyannote[5].speaker |
SPEAKER_01 |
| transcript.pyannote[5].start |
41.99909375 |
| transcript.pyannote[5].end |
58.04721875 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
58.58721875 |
| transcript.pyannote[6].end |
59.43096875 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
59.98784375 |
| transcript.pyannote[7].end |
72.79596875 |
| transcript.pyannote[8].speaker |
SPEAKER_02 |
| transcript.pyannote[8].start |
72.25596875 |
| transcript.pyannote[8].end |
72.77909375 |
| transcript.pyannote[9].speaker |
SPEAKER_02 |
| transcript.pyannote[9].start |
72.79596875 |
| transcript.pyannote[9].end |
73.35284375 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
73.35284375 |
| transcript.pyannote[10].end |
80.18721875 |
| transcript.pyannote[11].speaker |
SPEAKER_02 |
| transcript.pyannote[11].start |
73.89284375 |
| transcript.pyannote[11].end |
74.36534375 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
80.76096875 |
| transcript.pyannote[12].end |
89.18159375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
87.73034375 |
| transcript.pyannote[13].end |
88.21971875 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
89.55284375 |
| transcript.pyannote[14].end |
104.18346875 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
89.56971875 |
| transcript.pyannote[15].end |
90.93659375 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
104.43659375 |
| transcript.pyannote[16].end |
112.28346875 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
112.41846875 |
| transcript.pyannote[17].end |
138.97971875 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
139.73909375 |
| transcript.pyannote[18].end |
141.88221875 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
142.81034375 |
| transcript.pyannote[19].end |
145.64534375 |
| transcript.pyannote[20].speaker |
SPEAKER_01 |
| transcript.pyannote[20].start |
146.18534375 |
| transcript.pyannote[20].end |
146.72534375 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
147.61971875 |
| transcript.pyannote[21].end |
150.53909375 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
150.62346875 |
| transcript.pyannote[22].end |
160.10721875 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
160.32659375 |
| transcript.pyannote[23].end |
167.12721875 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
167.34659375 |
| transcript.pyannote[24].end |
187.12409375 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
187.22534375 |
| transcript.pyannote[25].end |
187.24221875 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
187.39409375 |
| transcript.pyannote[26].end |
191.96721875 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
192.67596875 |
| transcript.pyannote[27].end |
200.99534375 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
201.48471875 |
| transcript.pyannote[28].end |
202.07534375 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
202.91909375 |
| transcript.pyannote[29].end |
210.39471875 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
211.57596875 |
| transcript.pyannote[30].end |
218.56221875 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
219.27096875 |
| transcript.pyannote[31].end |
226.98284375 |
| transcript.pyannote[32].speaker |
SPEAKER_01 |
| transcript.pyannote[32].start |
227.42159375 |
| transcript.pyannote[32].end |
240.34784375 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
240.58409375 |
| transcript.pyannote[33].end |
240.98909375 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
241.54596875 |
| transcript.pyannote[34].end |
248.75159375 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
249.27471875 |
| transcript.pyannote[35].end |
253.07159375 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
253.83096875 |
| transcript.pyannote[36].end |
259.24784375 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
260.09159375 |
| transcript.pyannote[37].end |
265.18784375 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
265.55909375 |
| transcript.pyannote[38].end |
266.68971875 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
266.79096875 |
| transcript.pyannote[39].end |
268.88346875 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
269.67659375 |
| transcript.pyannote[40].end |
279.81846875 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
280.39221875 |
| transcript.pyannote[41].end |
280.99971875 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
281.48909375 |
| transcript.pyannote[42].end |
284.15534375 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
285.03284375 |
| transcript.pyannote[43].end |
287.44596875 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
287.73284375 |
| transcript.pyannote[44].end |
292.49159375 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
292.81221875 |
| transcript.pyannote[45].end |
294.07784375 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
294.28034375 |
| transcript.pyannote[46].end |
309.14721875 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
309.85596875 |
| transcript.pyannote[47].end |
313.02846875 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
313.48409375 |
| transcript.pyannote[48].end |
320.01471875 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
320.57159375 |
| transcript.pyannote[49].end |
322.41096875 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
322.51221875 |
| transcript.pyannote[50].end |
323.84534375 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
324.26721875 |
| transcript.pyannote[51].end |
328.80659375 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
328.82346875 |
| transcript.pyannote[52].end |
331.70909375 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
332.24909375 |
| transcript.pyannote[53].end |
340.33221875 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
340.66971875 |
| transcript.pyannote[54].end |
347.16659375 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
347.58846875 |
| transcript.pyannote[55].end |
347.97659375 |
| transcript.pyannote[56].speaker |
SPEAKER_02 |
| transcript.pyannote[56].start |
347.97659375 |
| transcript.pyannote[56].end |
353.29221875 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
351.30096875 |
| transcript.pyannote[57].end |
351.46971875 |
| transcript.pyannote[58].speaker |
SPEAKER_02 |
| transcript.pyannote[58].start |
353.66346875 |
| transcript.pyannote[58].end |
360.34596875 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
355.40159375 |
| transcript.pyannote[59].end |
355.75596875 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
355.75596875 |
| transcript.pyannote[60].end |
355.78971875 |
| transcript.pyannote[61].speaker |
SPEAKER_02 |
| transcript.pyannote[61].start |
361.12221875 |
| transcript.pyannote[61].end |
365.67846875 |
| transcript.pyannote[62].speaker |
SPEAKER_02 |
| transcript.pyannote[62].start |
365.86409375 |
| transcript.pyannote[62].end |
367.82159375 |
| transcript.pyannote[63].speaker |
SPEAKER_02 |
| transcript.pyannote[63].start |
368.36159375 |
| transcript.pyannote[63].end |
370.45409375 |
| transcript.pyannote[64].speaker |
SPEAKER_02 |
| transcript.pyannote[64].start |
371.34846875 |
| transcript.pyannote[64].end |
374.65596875 |
| transcript.pyannote[65].speaker |
SPEAKER_02 |
| transcript.pyannote[65].start |
375.06096875 |
| transcript.pyannote[65].end |
380.17409375 |
| transcript.pyannote[66].speaker |
SPEAKER_02 |
| transcript.pyannote[66].start |
380.54534375 |
| transcript.pyannote[66].end |
383.56596875 |
| transcript.pyannote[67].speaker |
SPEAKER_02 |
| transcript.pyannote[67].start |
383.83596875 |
| transcript.pyannote[67].end |
388.57784375 |
| transcript.pyannote[68].speaker |
SPEAKER_02 |
| transcript.pyannote[68].start |
388.74659375 |
| transcript.pyannote[68].end |
395.04096875 |
| transcript.pyannote[69].speaker |
SPEAKER_02 |
| transcript.pyannote[69].start |
395.44596875 |
| transcript.pyannote[69].end |
397.67346875 |
| transcript.pyannote[70].speaker |
SPEAKER_02 |
| transcript.pyannote[70].start |
397.72409375 |
| transcript.pyannote[70].end |
401.21721875 |
| transcript.pyannote[71].speaker |
SPEAKER_02 |
| transcript.pyannote[71].start |
401.67284375 |
| transcript.pyannote[71].end |
402.61784375 |
| transcript.pyannote[72].speaker |
SPEAKER_02 |
| transcript.pyannote[72].start |
403.20846875 |
| transcript.pyannote[72].end |
406.29659375 |
| transcript.pyannote[73].speaker |
SPEAKER_02 |
| transcript.pyannote[73].start |
406.70159375 |
| transcript.pyannote[73].end |
407.71409375 |
| transcript.pyannote[74].speaker |
SPEAKER_02 |
| transcript.pyannote[74].start |
408.33846875 |
| transcript.pyannote[74].end |
409.63784375 |
| transcript.pyannote[75].speaker |
SPEAKER_02 |
| transcript.pyannote[75].start |
410.12721875 |
| transcript.pyannote[75].end |
412.03409375 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
412.03409375 |
| transcript.pyannote[76].end |
412.38846875 |
| transcript.pyannote[77].speaker |
SPEAKER_02 |
| transcript.pyannote[77].start |
412.57409375 |
| transcript.pyannote[77].end |
416.77596875 |
| transcript.pyannote[78].speaker |
SPEAKER_02 |
| transcript.pyannote[78].start |
417.33284375 |
| transcript.pyannote[78].end |
421.02846875 |
| transcript.pyannote[79].speaker |
SPEAKER_02 |
| transcript.pyannote[79].start |
421.93971875 |
| transcript.pyannote[79].end |
424.75784375 |
| transcript.pyannote[80].speaker |
SPEAKER_02 |
| transcript.pyannote[80].start |
424.97721875 |
| transcript.pyannote[80].end |
429.43221875 |
| transcript.pyannote[81].speaker |
SPEAKER_02 |
| transcript.pyannote[81].start |
430.30971875 |
| transcript.pyannote[81].end |
432.89159375 |
| transcript.pyannote[82].speaker |
SPEAKER_02 |
| transcript.pyannote[82].start |
433.76909375 |
| transcript.pyannote[82].end |
435.16971875 |
| transcript.pyannote[83].speaker |
SPEAKER_02 |
| transcript.pyannote[83].start |
435.37221875 |
| transcript.pyannote[83].end |
445.12596875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
440.01284375 |
| transcript.pyannote[84].end |
444.28221875 |
| transcript.pyannote[85].speaker |
SPEAKER_02 |
| transcript.pyannote[85].start |
446.03721875 |
| transcript.pyannote[85].end |
450.99846875 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
449.76659375 |
| transcript.pyannote[86].end |
455.48721875 |
| transcript.pyannote[87].speaker |
SPEAKER_02 |
| transcript.pyannote[87].start |
452.82096875 |
| transcript.pyannote[87].end |
453.29346875 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
455.92596875 |
| transcript.pyannote[88].end |
467.92409375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
457.64721875 |
| transcript.pyannote[89].end |
457.66409375 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
457.68096875 |
| transcript.pyannote[90].end |
457.69784375 |
| transcript.pyannote[91].speaker |
SPEAKER_02 |
| transcript.pyannote[91].start |
457.69784375 |
| transcript.pyannote[91].end |
457.76534375 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
457.76534375 |
| transcript.pyannote[92].end |
457.84971875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
458.23784375 |
| transcript.pyannote[93].end |
458.27159375 |
| transcript.pyannote[94].speaker |
SPEAKER_02 |
| transcript.pyannote[94].start |
458.27159375 |
| transcript.pyannote[94].end |
459.85784375 |
| transcript.pyannote[95].speaker |
SPEAKER_02 |
| transcript.pyannote[95].start |
459.94221875 |
| transcript.pyannote[95].end |
462.10221875 |
| transcript.pyannote[96].speaker |
SPEAKER_02 |
| transcript.pyannote[96].start |
462.43971875 |
| transcript.pyannote[96].end |
462.45659375 |
| transcript.pyannote[97].speaker |
SPEAKER_02 |
| transcript.pyannote[97].start |
462.70971875 |
| transcript.pyannote[97].end |
465.13971875 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
465.13971875 |
| transcript.pyannote[98].end |
465.15659375 |
| transcript.pyannote[99].speaker |
SPEAKER_02 |
| transcript.pyannote[99].start |
465.37596875 |
| transcript.pyannote[99].end |
465.74721875 |
| transcript.pyannote[100].speaker |
SPEAKER_02 |
| transcript.pyannote[100].start |
467.29971875 |
| transcript.pyannote[100].end |
467.78909375 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
468.26159375 |
| transcript.pyannote[101].end |
470.62409375 |
| transcript.pyannote[102].speaker |
SPEAKER_02 |
| transcript.pyannote[102].start |
468.39659375 |
| transcript.pyannote[102].end |
468.90284375 |
| transcript.pyannote[103].speaker |
SPEAKER_02 |
| transcript.pyannote[103].start |
470.62409375 |
| transcript.pyannote[103].end |
477.22221875 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
473.67846875 |
| transcript.pyannote[104].end |
474.01596875 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
476.61471875 |
| transcript.pyannote[105].end |
480.76596875 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
480.98534375 |
| transcript.pyannote[106].end |
493.43909375 |
| transcript.pyannote[107].speaker |
SPEAKER_02 |
| transcript.pyannote[107].start |
483.44909375 |
| transcript.pyannote[107].end |
484.37721875 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
484.37721875 |
| transcript.pyannote[108].end |
484.42784375 |
| transcript.pyannote[109].speaker |
SPEAKER_02 |
| transcript.pyannote[109].start |
486.03096875 |
| transcript.pyannote[109].end |
486.21659375 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
486.21659375 |
| transcript.pyannote[110].end |
486.43596875 |
| transcript.pyannote[111].speaker |
SPEAKER_02 |
| transcript.pyannote[111].start |
493.18596875 |
| transcript.pyannote[111].end |
497.20221875 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
496.56096875 |
| transcript.pyannote[112].end |
501.60659375 |
| transcript.pyannote[113].speaker |
SPEAKER_02 |
| transcript.pyannote[113].start |
498.87284375 |
| transcript.pyannote[113].end |
502.02846875 |
| transcript.pyannote[114].speaker |
SPEAKER_01 |
| transcript.pyannote[114].start |
502.02846875 |
| transcript.pyannote[114].end |
502.18034375 |
| transcript.pyannote[115].speaker |
SPEAKER_02 |
| transcript.pyannote[115].start |
502.18034375 |
| transcript.pyannote[115].end |
502.21409375 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
502.21409375 |
| transcript.pyannote[116].end |
502.73721875 |
| transcript.pyannote[117].speaker |
SPEAKER_02 |
| transcript.pyannote[117].start |
502.73721875 |
| transcript.pyannote[117].end |
502.85534375 |
| transcript.pyannote[118].speaker |
SPEAKER_01 |
| transcript.pyannote[118].start |
502.85534375 |
| transcript.pyannote[118].end |
502.99034375 |
| transcript.pyannote[119].speaker |
SPEAKER_02 |
| transcript.pyannote[119].start |
502.99034375 |
| transcript.pyannote[119].end |
503.02409375 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
503.02409375 |
| transcript.pyannote[120].end |
504.00284375 |
| transcript.pyannote[121].speaker |
SPEAKER_01 |
| transcript.pyannote[121].start |
504.45846875 |
| transcript.pyannote[121].end |
528.21846875 |
| transcript.pyannote[122].speaker |
SPEAKER_02 |
| transcript.pyannote[122].start |
521.85659375 |
| transcript.pyannote[122].end |
522.49784375 |
| transcript.pyannote[123].speaker |
SPEAKER_02 |
| transcript.pyannote[123].start |
524.03346875 |
| transcript.pyannote[123].end |
524.57346875 |
| transcript.pyannote[124].speaker |
SPEAKER_02 |
| transcript.pyannote[124].start |
527.71221875 |
| transcript.pyannote[124].end |
533.43284375 |
| transcript.pyannote[125].speaker |
SPEAKER_02 |
| transcript.pyannote[125].start |
533.66909375 |
| transcript.pyannote[125].end |
540.13221875 |
| transcript.pyannote[126].speaker |
SPEAKER_01 |
| transcript.pyannote[126].start |
535.01909375 |
| transcript.pyannote[126].end |
536.04846875 |
| transcript.pyannote[127].speaker |
SPEAKER_02 |
| transcript.pyannote[127].start |
540.28409375 |
| transcript.pyannote[127].end |
558.03659375 |
| transcript.pyannote[128].speaker |
SPEAKER_01 |
| transcript.pyannote[128].start |
541.51596875 |
| transcript.pyannote[128].end |
543.15284375 |
| transcript.pyannote[129].speaker |
SPEAKER_01 |
| transcript.pyannote[129].start |
543.40596875 |
| transcript.pyannote[129].end |
545.83596875 |
| transcript.pyannote[130].speaker |
SPEAKER_01 |
| transcript.pyannote[130].start |
546.08909375 |
| transcript.pyannote[130].end |
546.61221875 |
| transcript.pyannote[131].speaker |
SPEAKER_00 |
| transcript.pyannote[131].start |
553.44659375 |
| transcript.pyannote[131].end |
553.64909375 |
| transcript.pyannote[132].speaker |
SPEAKER_01 |
| transcript.pyannote[132].start |
556.92284375 |
| transcript.pyannote[132].end |
557.24346875 |
| transcript.pyannote[133].speaker |
SPEAKER_01 |
| transcript.pyannote[133].start |
558.03659375 |
| transcript.pyannote[133].end |
570.96284375 |
| transcript.pyannote[134].speaker |
SPEAKER_02 |
| transcript.pyannote[134].start |
570.96284375 |
| transcript.pyannote[134].end |
595.44846875 |
| transcript.pyannote[135].speaker |
SPEAKER_01 |
| transcript.pyannote[135].start |
582.55596875 |
| transcript.pyannote[135].end |
583.46721875 |
| transcript.pyannote[136].speaker |
SPEAKER_01 |
| transcript.pyannote[136].start |
584.39534375 |
| transcript.pyannote[136].end |
585.32346875 |
| transcript.pyannote[137].speaker |
SPEAKER_01 |
| transcript.pyannote[137].start |
595.11096875 |
| transcript.pyannote[137].end |
595.97159375 |
| transcript.pyannote[138].speaker |
SPEAKER_02 |
| transcript.pyannote[138].start |
595.70159375 |
| transcript.pyannote[138].end |
605.50596875 |
| transcript.pyannote[139].speaker |
SPEAKER_01 |
| transcript.pyannote[139].start |
604.39221875 |
| transcript.pyannote[139].end |
629.33346875 |
| transcript.pyannote[140].speaker |
SPEAKER_02 |
| transcript.pyannote[140].start |
622.95471875 |
| transcript.pyannote[140].end |
623.56221875 |
| transcript.pyannote[141].speaker |
SPEAKER_02 |
| transcript.pyannote[141].start |
624.77721875 |
| transcript.pyannote[141].end |
625.38471875 |
| transcript.pyannote[142].speaker |
SPEAKER_02 |
| transcript.pyannote[142].start |
625.97534375 |
| transcript.pyannote[142].end |
627.64596875 |
| transcript.pyannote[143].speaker |
SPEAKER_01 |
| transcript.pyannote[143].start |
630.19409375 |
| transcript.pyannote[143].end |
640.55534375 |
| transcript.pyannote[144].speaker |
SPEAKER_01 |
| transcript.pyannote[144].start |
641.06159375 |
| transcript.pyannote[144].end |
657.29534375 |
| transcript.pyannote[145].speaker |
SPEAKER_00 |
| transcript.pyannote[145].start |
652.67159375 |
| transcript.pyannote[145].end |
653.29596875 |
| transcript.pyannote[146].speaker |
SPEAKER_01 |
| transcript.pyannote[146].start |
657.68346875 |
| transcript.pyannote[146].end |
659.97846875 |
| transcript.pyannote[147].speaker |
SPEAKER_01 |
| transcript.pyannote[147].start |
660.58596875 |
| transcript.pyannote[147].end |
662.05409375 |
| transcript.pyannote[148].speaker |
SPEAKER_01 |
| transcript.pyannote[148].start |
663.13409375 |
| transcript.pyannote[148].end |
667.23471875 |
| transcript.pyannote[149].speaker |
SPEAKER_02 |
| transcript.pyannote[149].start |
667.77471875 |
| transcript.pyannote[149].end |
671.72346875 |
| transcript.pyannote[150].speaker |
SPEAKER_02 |
| transcript.pyannote[150].start |
672.21284375 |
| transcript.pyannote[150].end |
677.46096875 |
| transcript.pyannote[151].speaker |
SPEAKER_01 |
| transcript.pyannote[151].start |
674.69346875 |
| transcript.pyannote[151].end |
675.16596875 |
| transcript.pyannote[152].speaker |
SPEAKER_02 |
| transcript.pyannote[152].start |
678.06846875 |
| transcript.pyannote[152].end |
678.89534375 |
| transcript.pyannote[153].speaker |
SPEAKER_01 |
| transcript.pyannote[153].start |
678.16971875 |
| transcript.pyannote[153].end |
680.26221875 |
| transcript.pyannote[154].speaker |
SPEAKER_02 |
| transcript.pyannote[154].start |
679.18221875 |
| transcript.pyannote[154].end |
692.80034375 |
| transcript.pyannote[155].speaker |
SPEAKER_01 |
| transcript.pyannote[155].start |
690.60659375 |
| transcript.pyannote[155].end |
691.45034375 |
| transcript.pyannote[156].speaker |
SPEAKER_01 |
| transcript.pyannote[156].start |
692.80034375 |
| transcript.pyannote[156].end |
707.32971875 |
| transcript.pyannote[157].speaker |
SPEAKER_02 |
| transcript.pyannote[157].start |
692.85096875 |
| transcript.pyannote[157].end |
693.98159375 |
| transcript.pyannote[158].speaker |
SPEAKER_02 |
| transcript.pyannote[158].start |
694.48784375 |
| transcript.pyannote[158].end |
694.55534375 |
| transcript.pyannote[159].speaker |
SPEAKER_02 |
| transcript.pyannote[159].start |
695.55096875 |
| transcript.pyannote[159].end |
696.20909375 |
| transcript.pyannote[160].speaker |
SPEAKER_02 |
| transcript.pyannote[160].start |
696.78284375 |
| transcript.pyannote[160].end |
697.32284375 |
| transcript.pyannote[161].speaker |
SPEAKER_00 |
| transcript.pyannote[161].start |
698.47034375 |
| transcript.pyannote[161].end |
698.52096875 |
| transcript.pyannote[162].speaker |
SPEAKER_00 |
| transcript.pyannote[162].start |
698.53784375 |
| transcript.pyannote[162].end |
698.58846875 |
| transcript.pyannote[163].speaker |
SPEAKER_02 |
| transcript.pyannote[163].start |
705.35534375 |
| transcript.pyannote[163].end |
706.08096875 |
| transcript.pyannote[164].speaker |
SPEAKER_02 |
| transcript.pyannote[164].start |
707.32971875 |
| transcript.pyannote[164].end |
707.36346875 |
| transcript.pyannote[165].speaker |
SPEAKER_01 |
| transcript.pyannote[165].start |
707.36346875 |
| transcript.pyannote[165].end |
707.54909375 |
| transcript.pyannote[166].speaker |
SPEAKER_02 |
| transcript.pyannote[166].start |
707.39721875 |
| transcript.pyannote[166].end |
707.68409375 |
| transcript.pyannote[167].speaker |
SPEAKER_01 |
| transcript.pyannote[167].start |
707.68409375 |
| transcript.pyannote[167].end |
707.97096875 |
| transcript.pyannote[168].speaker |
SPEAKER_02 |
| transcript.pyannote[168].start |
707.97096875 |
| transcript.pyannote[168].end |
712.05471875 |
| transcript.pyannote[169].speaker |
SPEAKER_02 |
| transcript.pyannote[169].start |
712.29096875 |
| transcript.pyannote[169].end |
712.56096875 |
| transcript.pyannote[170].speaker |
SPEAKER_01 |
| transcript.pyannote[170].start |
712.56096875 |
| transcript.pyannote[170].end |
712.74659375 |
| transcript.pyannote[171].speaker |
SPEAKER_02 |
| transcript.pyannote[171].start |
712.74659375 |
| transcript.pyannote[171].end |
713.03346875 |
| transcript.pyannote[172].speaker |
SPEAKER_01 |
| transcript.pyannote[172].start |
713.03346875 |
| transcript.pyannote[172].end |
713.06721875 |
| transcript.pyannote[173].speaker |
SPEAKER_02 |
| transcript.pyannote[173].start |
713.06721875 |
| transcript.pyannote[173].end |
724.79534375 |
| transcript.pyannote[174].speaker |
SPEAKER_01 |
| transcript.pyannote[174].start |
713.48909375 |
| transcript.pyannote[174].end |
713.87721875 |
| transcript.pyannote[175].speaker |
SPEAKER_01 |
| transcript.pyannote[175].start |
723.09096875 |
| transcript.pyannote[175].end |
738.39659375 |
| transcript.pyannote[176].speaker |
SPEAKER_02 |
| transcript.pyannote[176].start |
730.61721875 |
| transcript.pyannote[176].end |
730.65096875 |
| transcript.pyannote[177].speaker |
SPEAKER_01 |
| transcript.pyannote[177].start |
738.61596875 |
| transcript.pyannote[177].end |
744.64034375 |
| transcript.pyannote[178].speaker |
SPEAKER_02 |
| transcript.pyannote[178].start |
743.89784375 |
| transcript.pyannote[178].end |
757.49909375 |
| transcript.pyannote[179].speaker |
SPEAKER_01 |
| transcript.pyannote[179].start |
756.70596875 |
| transcript.pyannote[179].end |
756.73971875 |
| transcript.pyannote[180].speaker |
SPEAKER_01 |
| transcript.pyannote[180].start |
757.36409375 |
| transcript.pyannote[180].end |
757.46534375 |
| transcript.pyannote[181].speaker |
SPEAKER_01 |
| transcript.pyannote[181].start |
757.49909375 |
| transcript.pyannote[181].end |
757.54971875 |
| transcript.pyannote[182].speaker |
SPEAKER_02 |
| transcript.pyannote[182].start |
757.54971875 |
| transcript.pyannote[182].end |
757.63409375 |
| transcript.pyannote[183].speaker |
SPEAKER_01 |
| transcript.pyannote[183].start |
757.63409375 |
| transcript.pyannote[183].end |
759.60846875 |
| transcript.pyannote[184].speaker |
SPEAKER_01 |
| transcript.pyannote[184].start |
760.11471875 |
| transcript.pyannote[184].end |
783.06471875 |
| transcript.pyannote[185].speaker |
SPEAKER_00 |
| transcript.pyannote[185].start |
766.99971875 |
| transcript.pyannote[185].end |
769.12596875 |
| transcript.pyannote[186].speaker |
SPEAKER_00 |
| transcript.pyannote[186].start |
783.45284375 |
| transcript.pyannote[186].end |
792.48096875 |
| transcript.pyannote[187].speaker |
SPEAKER_00 |
| transcript.pyannote[187].start |
792.73409375 |
| transcript.pyannote[187].end |
806.16659375 |
| transcript.pyannote[188].speaker |
SPEAKER_01 |
| transcript.pyannote[188].start |
792.85221875 |
| transcript.pyannote[188].end |
793.13909375 |
| transcript.pyannote[189].speaker |
SPEAKER_01 |
| transcript.pyannote[189].start |
796.96971875 |
| transcript.pyannote[189].end |
797.29034375 |
| transcript.pyannote[190].speaker |
SPEAKER_01 |
| transcript.pyannote[190].start |
797.40846875 |
| transcript.pyannote[190].end |
797.44221875 |
| transcript.pyannote[191].speaker |
SPEAKER_00 |
| transcript.pyannote[191].start |
806.72346875 |
| transcript.pyannote[191].end |
814.84034375 |
| transcript.pyannote[192].speaker |
SPEAKER_00 |
| transcript.pyannote[192].start |
815.19471875 |
| transcript.pyannote[192].end |
818.01284375 |
| transcript.pyannote[193].speaker |
SPEAKER_00 |
| transcript.pyannote[193].start |
818.35034375 |
| transcript.pyannote[193].end |
840.00096875 |
| transcript.pyannote[194].speaker |
SPEAKER_01 |
| transcript.pyannote[194].start |
825.03284375 |
| transcript.pyannote[194].end |
825.42096875 |
| transcript.pyannote[195].speaker |
SPEAKER_01 |
| transcript.pyannote[195].start |
830.78721875 |
| transcript.pyannote[195].end |
831.29346875 |
| transcript.pyannote[196].speaker |
SPEAKER_01 |
| transcript.pyannote[196].start |
832.47471875 |
| transcript.pyannote[196].end |
832.55909375 |
| transcript.pyannote[197].speaker |
SPEAKER_01 |
| transcript.pyannote[197].start |
838.90409375 |
| transcript.pyannote[197].end |
843.27471875 |
| transcript.pyannote[198].speaker |
SPEAKER_00 |
| transcript.pyannote[198].start |
840.91221875 |
| transcript.pyannote[198].end |
841.19909375 |
| transcript.pyannote[199].speaker |
SPEAKER_00 |
| transcript.pyannote[199].start |
841.31721875 |
| transcript.pyannote[199].end |
841.67159375 |
| transcript.pyannote[200].speaker |
SPEAKER_01 |
| transcript.pyannote[200].start |
843.62909375 |
| transcript.pyannote[200].end |
866.29221875 |
| transcript.pyannote[201].speaker |
SPEAKER_01 |
| transcript.pyannote[201].start |
866.66346875 |
| transcript.pyannote[201].end |
876.07971875 |
| transcript.pyannote[202].speaker |
SPEAKER_01 |
| transcript.pyannote[202].start |
876.23159375 |
| transcript.pyannote[202].end |
891.31784375 |
| transcript.pyannote[203].speaker |
SPEAKER_02 |
| transcript.pyannote[203].start |
883.33596875 |
| transcript.pyannote[203].end |
884.21346875 |
| transcript.pyannote[204].speaker |
SPEAKER_02 |
| transcript.pyannote[204].start |
887.77409375 |
| transcript.pyannote[204].end |
888.06096875 |
| transcript.pyannote[205].speaker |
SPEAKER_01 |
| transcript.pyannote[205].start |
891.41909375 |
| transcript.pyannote[205].end |
892.56659375 |
| transcript.whisperx[0].start |
13.212 |
| transcript.whisperx[0].end |
40.491 |
| transcript.whisperx[0].text |
主席 我們請全序部施部長好 請施部長秘書長 我主要是要針對這個相關考機法我在請教這個施部長那如果有其他有關政策部分秘書長如果要補充就請秘書長可以上台來做政策上面的這個整理政策的表述那這個施部長我想這個剛才前面也有委員有詢問到有關於我們這個公務人員的考機制度的相關問題 |
| transcript.whisperx[1].start |
42.079 |
| transcript.whisperx[1].end |
57.572 |
| transcript.whisperx[1].text |
那我看你們這個業務報告,你們今天業務報告裡面有關今年工作重點及立法計畫第四點裡面就列入說你們要精進考機法制,建構完善的考機制度這是你們的工作重點,今年度的工作重點 |
| transcript.whisperx[2].start |
58.649 |
| transcript.whisperx[2].end |
79.021 |
| transcript.whisperx[2].text |
那這個事實上我個人在這個我們在這個公共政策網路參與平台所謂中台獎裡面事實上也是有這樣子有關於這個考機法的這個相關提案這個部分市部長你有了解嗎我理解我知道這個網路我們公共政策網路平台也就是我們考機法的這個修改的部分事實上在這個 |
| transcript.whisperx[3].start |
83.063 |
| transcript.whisperx[3].end |
87.864 |
| transcript.whisperx[3].text |
社會上面也是很重視這個議題而且已經討論多時了有各種不一樣的意見我在天下雜誌上面看到我們師部長關於烤雞法的發言基本上講說現行的烤雞法已經沒有獎勵效果了 |
| transcript.whisperx[4].start |
102.208 |
| transcript.whisperx[4].end |
123.501 |
| transcript.whisperx[4].text |
這是用引號,這是事務長講的啦現行的考記法已經沒有獎勵的效果那他的標題,這個文章的標題就是說有做事沒做事,薪水都一樣就因為這些原因,所以我今天大概就針對考記法的部分,我會來跟事務長討論接下來在我們業務報告,一樣在我們業務報告裡面有關於近期已執行的業務情形 |
| transcript.whisperx[5].start |
124.261 |
| transcript.whisperx[5].end |
145.36 |
| transcript.whisperx[5].text |
裡面你們提了兩點第一點是通盤檢討修正公務員考積法剛才討論的這個部分那第二點是檢討研修公務員任用法所以今天大概就考積法跟任用法這兩個部分來請教那這個其實公務員考積法它裡面的這些相關的問題很多是 |
| transcript.whisperx[6].start |
147.659 |
| transcript.whisperx[6].end |
170.828 |
| transcript.whisperx[6].text |
同樣兩個價值的橫平啦就是這個公務體認用公平但是他同時他又要能夠這個這個這個激勵績效這樣子兩個價值之間的橫平會造這個橫平所以他在從過去一直到現在公務員考積法他一直是大法官會議解釋的常客就是說可以說大法官會議解釋裡面最多的就是公務員考積法 |
| transcript.whisperx[7].start |
171.848 |
| transcript.whisperx[7].end |
191.784 |
| transcript.whisperx[7].text |
從歷年來大法官會議解釋有八次大法官會議解釋針對我們這個公務員考機法那在憲法法庭還有一次憲法判決加起來其實九次的這個判決那事實上在這個從民國75年到114年我們也提過五次修法整個這個公務員考機法有五次修法 |
| transcript.whisperx[8].start |
192.825 |
| transcript.whisperx[8].end |
208.759 |
| transcript.whisperx[8].text |
那這整個這種體系我想從過去到現在其實市部長我想給你相當的肯定啦因為你大概非常我看你非常用心的是真的真的把它當作一個志業啦要改革這公務人員考機制度我看你是真的很用心的在在談但這個問題 |
| transcript.whisperx[9].start |
211.653 |
| transcript.whisperx[9].end |
240.815 |
| transcript.whisperx[9].text |
非常很重要而且你很用心但是他偏偏他就是在在他的改革是不容易的不容易的那所以我大概就是從這個從過去這個公務人員考機考機法的修法經驗過去說五次提我們五次提到立法院來修法但是都後來都沒有修成了都沒有修成了因為這個都都每次一到這個什麼考機比例到比例要不要要不要維持到這些爭議這個就大家就這個共識就很低了所以每一次都沒有修法修成了那 |
| transcript.whisperx[10].start |
241.636 |
| transcript.whisperx[10].end |
268.337 |
| transcript.whisperx[10].text |
我們大概在整個我們把它提到這個既然你們又把它列為今年度的重要工作事項那也是你們的重要工作成果所以我們就重點就是說我們這個公務員考機法修法到底有哪幾個重點我這裡是提出這個三個大變相第一個就是我剛剛提的這個等地的比例就是到甲等有沒有要設置比例多少比例甲等地的比例這是第一個面向第二面向就是你在打考機的你那個區別 |
| transcript.whisperx[11].start |
270.325 |
| transcript.whisperx[11].end |
283.676 |
| transcript.whisperx[11].text |
他到底具不具區別性的這個平良的機制到底要建立這是過去一直詬病的就是我們這個到底為什麼我甲等為什麼我乙等這個平良的這個機制這個東西這個平良性這個是第二個面向 |
| transcript.whisperx[12].start |
285.08 |
| transcript.whisperx[12].end |
305.572 |
| transcript.whisperx[12].text |
那第三個面向就是大概就是這個一般基層公務員比較關心的就是那你主管打烤雞你要不要負責就是你這個主管的平和責任我做平和這個責任大概這三個面向是我們如果我們要做烤雞法的改革我想這三個是重要的面向所以一個一個面向來跟這個部長討論你們在全區部我看在這個 |
| transcript.whisperx[13].start |
309.909 |
| transcript.whisperx[13].end |
329.51 |
| transcript.whisperx[13].text |
一個禮拜前你們全區部有講說你們這個其實你們過去到現在你們已經經過這個向考試院進行了五次的專案說明進行五次的專案說明而且你們在這個你們報告裡面也提到從114年6月到8月召開三次的專案會議這個專案說明會議而且 |
| transcript.whisperx[14].start |
332.498 |
| transcript.whisperx[14].end |
359.551 |
| transcript.whisperx[14].text |
達成一定的共識之後在十月跟十一月又召開兩次總共召開五次的專案說明會議嘛對不對那有關於這個我現在要請問部長就是說有關這個長期大家對於這個比例配合的這個僵化這部分我們什麼樣的改革方向我想我用更整體來跟委員報告可能因為我們的方向會跟現在不一樣所以不能用現在甲乙丙這種概念來看我們未來的方向簡單講 |
| transcript.whisperx[15].start |
361.192 |
| transcript.whisperx[15].end |
370.051 |
| transcript.whisperx[15].text |
我長期在政府部門服務那我自己是學人資的那我還是要坦白講人資的那一套理論 |
| transcript.whisperx[16].start |
371.394 |
| transcript.whisperx[16].end |
394.921 |
| transcript.whisperx[16].text |
或技術放在政府部門來必須要做修正要不然會沒有辦法可行性在政府部門如果沒有辦法可行性就是為什麼以前送的五次烤雞法的方式通通沒有下文對 沒有下文就是因為它會有可行性的問題但是我們希望又可行又要兼顧一些也不要說完全沒有效果所以我們大的方向是這樣子 |
| transcript.whisperx[17].start |
395.741 |
| transcript.whisperx[17].end |
420.837 |
| transcript.whisperx[17].text |
我們不會再有夾魚餅那個概念我們會重新用另外簡化的等次我不贊成如果我們現在連夾魚都很難區別的如果你再把顆粒再拉高老實說那爭論會更大所以我們的方式是簡化方式簡單講我們大概會當烤雞簡單講未來機關要達到最重要兩件事情 |
| transcript.whisperx[18].start |
422.011 |
| transcript.whisperx[18].end |
444.587 |
| transcript.whisperx[18].text |
如果我們會設定條件那個真的是做不好的符合什麼條件你就是未打良好那只要你沒有未打良好基本上就是就是非常好 良好那在良好上面如果我們再有一個條件如果你真的符合更好 優等 特優我們就這樣子而已那所以但是從 |
| transcript.whisperx[19].start |
446.528 |
| transcript.whisperx[19].end |
455.049 |
| transcript.whisperx[19].text |
從理論的實務或者人質的實務不可能特優惹人會比那所謂良好跟對好這是我們要改變嘛那所謂良好跟不良 |
| transcript.whisperx[20].start |
456.444 |
| transcript.whisperx[20].end |
480.343 |
| transcript.whisperx[20].text |
這兩個中有比例我們不會設定比例這是重點我們絕對不會設定比例不設定比例 這個比例才是重點何時根據法定的標準不管它叫做假等 叫做疑等還是它叫做良好 叫做優良都是到底要不要設定比例這個問題我們不會去設定所謂叫未達良好了這個比例不會 因為我們就根據你符合這個條項 機關就要何時考基本上我們的整個修法方向是要把過去的這個比例 |
| transcript.whisperx[21].start |
481.664 |
| transcript.whisperx[21].end |
503.016 |
| transcript.whisperx[21].text |
這個比例配額的僵化要把它廢除掉這是第一個方向這是第一個面向第二個面向有關於評量方式過去這個評量方式大家一直在講說不過如果你簡化之後這個評量方式就比較容易了我們就是有兩個主要的標準一個是如果未達良好必須要什麼標準未達良好基本上要有一些具體的事證如果你要更好你就要有什麼標準我們主要是用這兩個概念 |
| transcript.whisperx[22].start |
504.537 |
| transcript.whisperx[22].end |
523.107 |
| transcript.whisperx[22].text |
接下來就是第三個面向就是我們所提到的主管平和的責任這個有我們剛剛講在這撞開講這個網路政策平台上面大家提到說你要付理由啦要付理由所以你剛剛講說如果我們未來改成說良好跟未達良好那未達良好部分你一定要 |
| transcript.whisperx[23].start |
523.447 |
| transcript.whisperx[23].end |
539.613 |
| transcript.whisperx[23].text |
一定要附相關的書面理由跟說明而且我們會認為如果你年終要打人家未了良好在平常的考核裡面就一定要先示警平常要示警就是平常考核的時候如果你覺得他真的不好 |
| transcript.whisperx[24].start |
540.433 |
| transcript.whisperx[24].end |
568.406 |
| transcript.whisperx[24].text |
未達人你一定要在 你在真正最後做考機之前而且要跟他溝通因為我們不希望 老實說政府部門大家辛辛苦苦考進來我們不希望呢好像是隨便就fire一個同仁這也不是好事情啦所以過程要給他這個知道說他做得好不好好 這樣子的修法方向我個人是非常支持而且我認為說這樣子事實上可以解決一下我剛剛講這整個三大面向的這些問題啦 這個可以一併解決那我們希望說 那時程呢你們計畫什麼時候 |
| transcript.whisperx[25].start |
570.708 |
| transcript.whisperx[25].end |
588.303 |
| transcript.whisperx[25].text |
應該這樣講我們大概我剛剛有報告我預計在這個月會正式進入跟各機關發出正式的這個意見徵詢但是我們會請各機關也要把這個意見那你們預計在什麼時候完成如果順利的話我想我希望在下個月如果順利啦 |
| transcript.whisperx[26].start |
588.723 |
| transcript.whisperx[26].end |
607.869 |
| transcript.whisperx[26].text |
大家同意我們這個做法的話我不希望說大家有意見我還往考試院送老實說也沒有意義啦所以我希望在這樣一個過程裡面大概能夠順利到下個月四月到五月之中間我能夠順利把這個法案草案送到考試院因為還是要經過考試院就是希望說四月五月能夠送到考試院 |
| transcript.whisperx[27].start |
609.189 |
| transcript.whisperx[27].end |
626.479 |
| transcript.whisperx[27].text |
這樣子就時程也很具體了那一個小問題就是過去在修法的時候常常說在打烤機的時候你們這個修法的時程跟這個打烤機的時間重疊人事行政局就說你這樣子我根本我就這個部分要注意一下謝謝委員的提醒這個部分烤機法到這裡 |
| transcript.whisperx[28].start |
630.439 |
| transcript.whisperx[28].end |
652.964 |
| transcript.whisperx[28].text |
關於公務人員任用法的部分,我這邊給你顯示一個比例我看這近六年公務人員辭職的人數看比例,其實辭職率看起來提升沒有很多,從0.8%提升到1.4%比例看起來沒有很高但其實實際上的辭職人數是攀升從1157個人到將近2000人 |
| transcript.whisperx[29].start |
658.085 |
| transcript.whisperx[29].end |
677.299 |
| transcript.whisperx[29].text |
這個其實攀升的比例那這樣子的你們是怎麼看待你們覺得這個是人力結構的流失還是你們覺得這個影響有限我做一個部長我長期觀察這個數字來講事實上人數在增加沒有錯但是它佔整個公務人員比例真的是很低 |
| transcript.whisperx[30].start |
678.683 |
| transcript.whisperx[30].end |
696.235 |
| transcript.whisperx[30].text |
這剛我講的比例1.4而已那我再講一個數字我們在很多辭職的同仁裡面大部分都是新進的沒幾年的同仁那他後來又重新考試回來快有兩成左右已經考回來我接下來就是要講這個所以我的意思在講是所以問題一定有問題 |
| transcript.whisperx[31].start |
698.596 |
| transcript.whisperx[31].end |
718.213 |
| transcript.whisperx[31].text |
為什麼我考上了我要辭掉然後在兩年內我再去拚另外一個考試再考進來因為我們是分發考試我們是分發考試他可能分到了機關他覺得而且不得轉任不得轉任對不對因為我們現在有高普考三年地特有六年 |
| transcript.whisperx[32].start |
718.974 |
| transcript.whisperx[32].end |
736.575 |
| transcript.whisperx[32].text |
那我跟委員報告,這個一定是用人機關很複雜議題的政策啦,算在法律裡面這近六年來齁,這個辭職的公務員,剛剛你講有兩層會在任公職這兩人裡面有七成五次,第二次在考試考進來的再重新再考試的齁所以這個,我們 |
| transcript.whisperx[33].start |
738.897 |
| transcript.whisperx[33].end |
757.145 |
| transcript.whisperx[33].text |
對於這個高考的這些綁約地特這樣子的這些問題我們有沒有想要做改變或檢討我跟委員報告我們現在當然已經有一個室友是說如果他有育三歲以下的一個小孩子可以在一定條件裡面他可以轉啦那我們一方面也在檢討這個可能要請秘書長我們這個 |
| transcript.whisperx[34].start |
760.425 |
| transcript.whisperx[34].end |
782.619 |
| transcript.whisperx[34].text |
這個其實不得轉調的這些相關的法條依據是在公務人員考試法裡面那這個部分我們是不是能夠整體做結構性的調整要不然這實在是我們一說出來就很荒謬這麼多人大家考上了我還辭掉辭掉再去重新考再考回來如果這掉了我還是不高興那我再辭我再考 |
| transcript.whisperx[35].start |
783.776 |
| transcript.whisperx[35].end |
805.964 |
| transcript.whisperx[35].text |
我瞭解委員講這個問題這個是我們國家的特殊結構下的特殊的副作用因為我們是統一考試統一分發用人機關完全不能選擇他就等著我們分發一個人給他但是分發的這個權利是在於考生依照分數去填寫他的志願但他填寫志願的時候我簡單講他最後填了一個譬如說在東部 |
| transcript.whisperx[36].start |
806.764 |
| transcript.whisperx[36].end |
834.6 |
| transcript.whisperx[36].text |
他並不是真的想去東部服務但他只是想要拿到這個分發以後完成訓練使得他可以得到公務員資格那所以 拿到公務員資格之後他就有一個底氣他可以重考在職重考或離職重考但他已經具備資格所以這個對用人機關來講是很大的困擾就是說我提供了一個職缺但這個人心不在此然後我們就變成一個過水跟新人訓練的機關所以我們也必須考慮到他們的需求要有限制轉調這個要求啦 |
| transcript.whisperx[37].start |
835 |
| transcript.whisperx[37].end |
841.583 |
| transcript.whisperx[37].text |
那但是這個現在要怎麼樣提前解除這個條件我們可以來討論你們檢討一下除了這個離職率以外我們看看我最後提到這個你看我們這個辭職的從108年到113年辭職的人員的職等跟年資 |
| transcript.whisperx[38].start |
854.548 |
| transcript.whisperx[38].end |
865.197 |
| transcript.whisperx[38].text |
其實蠻集中的,其實真的蠻集中,集中在幾個職等在委任三職等跟建任六職等、建任七職等加起來,這三個加起來就到68% |
| transcript.whisperx[39].start |
866.809 |
| transcript.whisperx[39].end |
892.365 |
| transcript.whisperx[39].text |
這個就要實質的68%快到七成了那如果是70等以下的幾乎就是九成了幾乎就是九成了這問題我希望說我們能夠也能夠針對這樣子這個做一些具體的改革方向包括考機機效這些聯動機制還是要留才啦還是要留才好不好 曾委員希望報這個值等就是剛剛好那個考試剛分發的對就是考試剛分發就集中在這裡就快到七成了好以上 |