| IVOD_ID |
169938 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/169938 |
| 日期 |
2026-06-10 |
| 會議資料.會議代碼 |
委員會-11-5-36-18 |
| 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18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 |
18 |
| 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18次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2026-06-10T11:49:25+08:00 |
| 結束時間 |
2026-06-10T12:06:39+08:00 |
| 影片長度 |
00:17:14 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/dee24285c0428ea56ec958607540604a02c75a4b042dc367519726d100e90c4d59a766c9ad8cead35ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
葉元之 |
| 委員發言時間 |
11:49:25 - 12:06:39 |
| 會議時間 |
2026-06-10T09:00:00+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18次全體委員會議（事由：併案審查
（一）台灣民眾黨黨團擬具「軍公教人員待遇調整條例草案」案。
（二）委員翁曉玲等16人擬具「軍公教人員待遇調整條例草案」案。
【6月10日會議僅進行詢答】
【6月10日及11日兩天一次會】） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
13.53096875 |
| transcript.pyannote[0].end |
14.59409375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
14.89784375 |
| transcript.pyannote[1].end |
15.80909375 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
16.31534375 |
| transcript.pyannote[2].end |
17.56409375 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
21.09096875 |
| transcript.pyannote[3].end |
47.51721875 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
47.98971875 |
| transcript.pyannote[4].end |
57.62534375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
48.95159375 |
| transcript.pyannote[5].end |
49.22159375 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
53.23784375 |
| transcript.pyannote[6].end |
54.08159375 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
57.74346875 |
| transcript.pyannote[7].end |
64.10534375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
59.44784375 |
| transcript.pyannote[8].end |
77.74034375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
77.95971875 |
| transcript.pyannote[9].end |
87.86534375 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
87.32534375 |
| transcript.pyannote[10].end |
88.01721875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
88.01721875 |
| transcript.pyannote[11].end |
88.18596875 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
88.18596875 |
| transcript.pyannote[12].end |
90.80159375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
90.48096875 |
| transcript.pyannote[13].end |
134.08596875 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
92.75909375 |
| transcript.pyannote[14].end |
95.57721875 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
95.61096875 |
| transcript.pyannote[15].end |
95.66159375 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
95.71221875 |
| transcript.pyannote[16].end |
97.39971875 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
103.13721875 |
| transcript.pyannote[17].end |
104.60534375 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
118.08846875 |
| transcript.pyannote[18].end |
118.66221875 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
135.48659375 |
| transcript.pyannote[19].end |
136.02659375 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
136.02659375 |
| transcript.pyannote[20].end |
144.26159375 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
144.66659375 |
| transcript.pyannote[21].end |
147.80534375 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
148.68284375 |
| transcript.pyannote[22].end |
162.40221875 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
162.79034375 |
| transcript.pyannote[23].end |
164.46096875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
164.79846875 |
| transcript.pyannote[24].end |
170.13096875 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
170.72159375 |
| transcript.pyannote[25].end |
223.89471875 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
224.38409375 |
| transcript.pyannote[26].end |
277.32096875 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
277.89471875 |
| transcript.pyannote[27].end |
292.57596875 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
291.83346875 |
| transcript.pyannote[28].end |
294.39846875 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
293.09909375 |
| transcript.pyannote[29].end |
294.98909375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
295.32659375 |
| transcript.pyannote[30].end |
301.90784375 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
295.46159375 |
| transcript.pyannote[31].end |
296.08596875 |
| transcript.pyannote[32].speaker |
SPEAKER_01 |
| transcript.pyannote[32].start |
296.47409375 |
| transcript.pyannote[32].end |
297.35159375 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
301.90784375 |
| transcript.pyannote[33].end |
302.09346875 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
302.46471875 |
| transcript.pyannote[34].end |
315.20534375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
303.39284375 |
| transcript.pyannote[35].end |
303.74721875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
305.08034375 |
| transcript.pyannote[36].end |
310.48034375 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
313.95659375 |
| transcript.pyannote[37].end |
314.80034375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
315.20534375 |
| transcript.pyannote[38].end |
315.25596875 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
315.81284375 |
| transcript.pyannote[39].end |
316.03221875 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
316.03221875 |
| transcript.pyannote[40].end |
319.60971875 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
320.28471875 |
| transcript.pyannote[41].end |
321.16221875 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
320.95971875 |
| transcript.pyannote[42].end |
332.82284375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
321.51659375 |
| transcript.pyannote[43].end |
324.70596875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
330.35909375 |
| transcript.pyannote[44].end |
334.88159375 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
334.96596875 |
| transcript.pyannote[45].end |
335.18534375 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
335.45534375 |
| transcript.pyannote[46].end |
339.65721875 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
336.48471875 |
| transcript.pyannote[47].end |
339.70784375 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
339.70784375 |
| transcript.pyannote[48].end |
339.72471875 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
339.80909375 |
| transcript.pyannote[49].end |
347.18346875 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
342.89721875 |
| transcript.pyannote[50].end |
343.30221875 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
347.68971875 |
| transcript.pyannote[51].end |
347.89221875 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
347.97659375 |
| transcript.pyannote[52].end |
351.89159375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
350.98034375 |
| transcript.pyannote[53].end |
362.47221875 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
352.39784375 |
| transcript.pyannote[54].end |
353.02221875 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
358.67534375 |
| transcript.pyannote[55].end |
360.76784375 |
| transcript.pyannote[56].speaker |
SPEAKER_01 |
| transcript.pyannote[56].start |
362.55659375 |
| transcript.pyannote[56].end |
365.03721875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
365.03721875 |
| transcript.pyannote[57].end |
375.26346875 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
365.05409375 |
| transcript.pyannote[58].end |
367.65284375 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
367.68659375 |
| transcript.pyannote[59].end |
367.70346875 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
368.32784375 |
| transcript.pyannote[60].end |
369.32346875 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
369.44159375 |
| transcript.pyannote[61].end |
369.71159375 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
375.26346875 |
| transcript.pyannote[62].end |
385.47284375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
380.49471875 |
| transcript.pyannote[63].end |
381.27096875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
382.08096875 |
| transcript.pyannote[64].end |
390.77159375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
386.21534375 |
| transcript.pyannote[65].end |
390.73784375 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
390.77159375 |
| transcript.pyannote[66].end |
391.41284375 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
391.41284375 |
| transcript.pyannote[67].end |
392.98221875 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
391.46346875 |
| transcript.pyannote[68].end |
393.33659375 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
393.82596875 |
| transcript.pyannote[69].end |
408.45659375 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
395.66534375 |
| transcript.pyannote[70].end |
397.38659375 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
399.00659375 |
| transcript.pyannote[71].end |
400.25534375 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
402.60096875 |
| transcript.pyannote[72].end |
403.63034375 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
404.94659375 |
| transcript.pyannote[73].end |
411.32534375 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
411.57846875 |
| transcript.pyannote[74].end |
423.67784375 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
424.09971875 |
| transcript.pyannote[75].end |
450.27284375 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
451.47096875 |
| transcript.pyannote[76].end |
453.00659375 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
453.29346875 |
| transcript.pyannote[77].end |
453.83346875 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
453.96846875 |
| transcript.pyannote[78].end |
464.00909375 |
| transcript.pyannote[79].speaker |
SPEAKER_01 |
| transcript.pyannote[79].start |
464.27909375 |
| transcript.pyannote[79].end |
467.40096875 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
467.99159375 |
| transcript.pyannote[80].end |
469.52721875 |
| transcript.pyannote[81].speaker |
SPEAKER_01 |
| transcript.pyannote[81].start |
470.87721875 |
| transcript.pyannote[81].end |
471.41721875 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
471.63659375 |
| transcript.pyannote[82].end |
473.76284375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
471.80534375 |
| transcript.pyannote[83].end |
474.64034375 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
475.19721875 |
| transcript.pyannote[84].end |
476.07471875 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
476.07471875 |
| transcript.pyannote[85].end |
477.72846875 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
477.72846875 |
| transcript.pyannote[86].end |
478.08284375 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
478.08284375 |
| transcript.pyannote[87].end |
510.41534375 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
486.01409375 |
| transcript.pyannote[88].end |
490.03034375 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
510.34784375 |
| transcript.pyannote[89].end |
510.36471875 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
510.41534375 |
| transcript.pyannote[90].end |
510.95534375 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
510.95534375 |
| transcript.pyannote[91].end |
511.88346875 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
510.97221875 |
| transcript.pyannote[92].end |
514.85346875 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
515.20784375 |
| transcript.pyannote[93].end |
520.72596875 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
521.28284375 |
| transcript.pyannote[94].end |
522.97034375 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
521.77221875 |
| transcript.pyannote[95].end |
526.73346875 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
525.94034375 |
| transcript.pyannote[96].end |
527.71221875 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
526.78409375 |
| transcript.pyannote[97].end |
527.62784375 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
527.71221875 |
| transcript.pyannote[98].end |
527.77971875 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
528.58971875 |
| transcript.pyannote[99].end |
531.74534375 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
528.84284375 |
| transcript.pyannote[100].end |
534.02346875 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
534.05721875 |
| transcript.pyannote[101].end |
542.03909375 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
534.20909375 |
| transcript.pyannote[102].end |
536.99346875 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
538.88346875 |
| transcript.pyannote[103].end |
539.87909375 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
547.74284375 |
| transcript.pyannote[104].end |
549.68346875 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
550.08846875 |
| transcript.pyannote[105].end |
557.54721875 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
550.22346875 |
| transcript.pyannote[106].end |
550.86471875 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
556.58534375 |
| transcript.pyannote[107].end |
559.40346875 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
560.04471875 |
| transcript.pyannote[108].end |
563.33534375 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
564.17909375 |
| transcript.pyannote[109].end |
567.60471875 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
567.92534375 |
| transcript.pyannote[110].end |
569.02221875 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
570.11909375 |
| transcript.pyannote[111].end |
571.58721875 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
572.38034375 |
| transcript.pyannote[112].end |
572.86971875 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
573.27471875 |
| transcript.pyannote[113].end |
575.43471875 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
576.00846875 |
| transcript.pyannote[114].end |
578.96159375 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
578.97846875 |
| transcript.pyannote[115].end |
579.01221875 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
579.31596875 |
| transcript.pyannote[116].end |
585.18846875 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
585.44159375 |
| transcript.pyannote[117].end |
589.10346875 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
589.57596875 |
| transcript.pyannote[118].end |
593.25471875 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
593.87909375 |
| transcript.pyannote[119].end |
596.42721875 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
597.65909375 |
| transcript.pyannote[120].end |
600.19034375 |
| transcript.pyannote[121].speaker |
SPEAKER_01 |
| transcript.pyannote[121].start |
601.13534375 |
| transcript.pyannote[121].end |
608.00346875 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
603.93659375 |
| transcript.pyannote[122].end |
605.25284375 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
605.75909375 |
| transcript.pyannote[123].end |
606.04596875 |
| transcript.pyannote[124].speaker |
SPEAKER_01 |
| transcript.pyannote[124].start |
608.98221875 |
| transcript.pyannote[124].end |
616.39034375 |
| transcript.pyannote[125].speaker |
SPEAKER_00 |
| transcript.pyannote[125].start |
610.29846875 |
| transcript.pyannote[125].end |
610.38284375 |
| transcript.pyannote[126].speaker |
SPEAKER_01 |
| transcript.pyannote[126].start |
616.96409375 |
| transcript.pyannote[126].end |
617.74034375 |
| transcript.pyannote[127].speaker |
SPEAKER_01 |
| transcript.pyannote[127].start |
618.39846875 |
| transcript.pyannote[127].end |
619.76534375 |
| transcript.pyannote[128].speaker |
SPEAKER_01 |
| transcript.pyannote[128].start |
620.50784375 |
| transcript.pyannote[128].end |
622.98846875 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
623.51159375 |
| transcript.pyannote[129].end |
624.91221875 |
| transcript.pyannote[130].speaker |
SPEAKER_01 |
| transcript.pyannote[130].start |
625.51971875 |
| transcript.pyannote[130].end |
629.89034375 |
| transcript.pyannote[131].speaker |
SPEAKER_01 |
| transcript.pyannote[131].start |
630.61596875 |
| transcript.pyannote[131].end |
631.91534375 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
631.91534375 |
| transcript.pyannote[132].end |
632.75909375 |
| transcript.pyannote[133].speaker |
SPEAKER_01 |
| transcript.pyannote[133].start |
632.55659375 |
| transcript.pyannote[133].end |
632.77596875 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
632.77596875 |
| transcript.pyannote[134].end |
635.88096875 |
| transcript.pyannote[135].speaker |
SPEAKER_01 |
| transcript.pyannote[135].start |
636.52221875 |
| transcript.pyannote[135].end |
642.00659375 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
642.25971875 |
| transcript.pyannote[136].end |
654.24096875 |
| transcript.pyannote[137].speaker |
SPEAKER_00 |
| transcript.pyannote[137].start |
654.57846875 |
| transcript.pyannote[137].end |
656.33346875 |
| transcript.pyannote[138].speaker |
SPEAKER_00 |
| transcript.pyannote[138].start |
657.32909375 |
| transcript.pyannote[138].end |
657.73409375 |
| transcript.pyannote[139].speaker |
SPEAKER_00 |
| transcript.pyannote[139].start |
658.45971875 |
| transcript.pyannote[139].end |
661.53096875 |
| transcript.pyannote[140].speaker |
SPEAKER_00 |
| transcript.pyannote[140].start |
661.56471875 |
| transcript.pyannote[140].end |
661.69971875 |
| transcript.pyannote[141].speaker |
SPEAKER_01 |
| transcript.pyannote[141].start |
661.69971875 |
| transcript.pyannote[141].end |
661.78409375 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
661.78409375 |
| transcript.pyannote[142].end |
674.17034375 |
| transcript.pyannote[143].speaker |
SPEAKER_01 |
| transcript.pyannote[143].start |
665.91846875 |
| transcript.pyannote[143].end |
665.96909375 |
| transcript.pyannote[144].speaker |
SPEAKER_02 |
| transcript.pyannote[144].start |
665.96909375 |
| transcript.pyannote[144].end |
666.44159375 |
| transcript.pyannote[145].speaker |
SPEAKER_00 |
| transcript.pyannote[145].start |
674.32221875 |
| transcript.pyannote[145].end |
676.26284375 |
| transcript.pyannote[146].speaker |
SPEAKER_00 |
| transcript.pyannote[146].start |
676.65096875 |
| transcript.pyannote[146].end |
678.76034375 |
| transcript.pyannote[147].speaker |
SPEAKER_01 |
| transcript.pyannote[147].start |
678.70971875 |
| transcript.pyannote[147].end |
683.68784375 |
| transcript.pyannote[148].speaker |
SPEAKER_00 |
| transcript.pyannote[148].start |
679.43534375 |
| transcript.pyannote[148].end |
679.89096875 |
| transcript.pyannote[149].speaker |
SPEAKER_01 |
| transcript.pyannote[149].start |
683.94096875 |
| transcript.pyannote[149].end |
688.75034375 |
| transcript.pyannote[150].speaker |
SPEAKER_00 |
| transcript.pyannote[150].start |
686.33721875 |
| transcript.pyannote[150].end |
686.48909375 |
| transcript.pyannote[151].speaker |
SPEAKER_00 |
| transcript.pyannote[151].start |
688.34534375 |
| transcript.pyannote[151].end |
688.64909375 |
| transcript.pyannote[152].speaker |
SPEAKER_00 |
| transcript.pyannote[152].start |
688.75034375 |
| transcript.pyannote[152].end |
697.94721875 |
| transcript.pyannote[153].speaker |
SPEAKER_01 |
| transcript.pyannote[153].start |
689.61096875 |
| transcript.pyannote[153].end |
691.43346875 |
| transcript.pyannote[154].speaker |
SPEAKER_01 |
| transcript.pyannote[154].start |
692.63159375 |
| transcript.pyannote[154].end |
693.10409375 |
| transcript.pyannote[155].speaker |
SPEAKER_01 |
| transcript.pyannote[155].start |
695.17971875 |
| transcript.pyannote[155].end |
696.76596875 |
| transcript.pyannote[156].speaker |
SPEAKER_01 |
| transcript.pyannote[156].start |
697.45784375 |
| transcript.pyannote[156].end |
697.93034375 |
| transcript.pyannote[157].speaker |
SPEAKER_01 |
| transcript.pyannote[157].start |
697.94721875 |
| transcript.pyannote[157].end |
698.03159375 |
| transcript.pyannote[158].speaker |
SPEAKER_00 |
| transcript.pyannote[158].start |
698.36909375 |
| transcript.pyannote[158].end |
702.25034375 |
| transcript.pyannote[159].speaker |
SPEAKER_01 |
| transcript.pyannote[159].start |
698.58846875 |
| transcript.pyannote[159].end |
699.34784375 |
| transcript.pyannote[160].speaker |
SPEAKER_01 |
| transcript.pyannote[160].start |
701.49096875 |
| transcript.pyannote[160].end |
702.04784375 |
| transcript.pyannote[161].speaker |
SPEAKER_01 |
| transcript.pyannote[161].start |
702.25034375 |
| transcript.pyannote[161].end |
702.28409375 |
| transcript.pyannote[162].speaker |
SPEAKER_00 |
| transcript.pyannote[162].start |
702.28409375 |
| transcript.pyannote[162].end |
702.43596875 |
| transcript.pyannote[163].speaker |
SPEAKER_01 |
| transcript.pyannote[163].start |
702.43596875 |
| transcript.pyannote[163].end |
702.45284375 |
| transcript.pyannote[164].speaker |
SPEAKER_00 |
| transcript.pyannote[164].start |
702.45284375 |
| transcript.pyannote[164].end |
711.05909375 |
| transcript.pyannote[165].speaker |
SPEAKER_01 |
| transcript.pyannote[165].start |
704.35971875 |
| transcript.pyannote[165].end |
705.62534375 |
| transcript.pyannote[166].speaker |
SPEAKER_00 |
| transcript.pyannote[166].start |
711.36284375 |
| transcript.pyannote[166].end |
711.64971875 |
| transcript.pyannote[167].speaker |
SPEAKER_01 |
| transcript.pyannote[167].start |
711.64971875 |
| transcript.pyannote[167].end |
711.86909375 |
| transcript.pyannote[168].speaker |
SPEAKER_00 |
| transcript.pyannote[168].start |
711.86909375 |
| transcript.pyannote[168].end |
711.90284375 |
| transcript.pyannote[169].speaker |
SPEAKER_01 |
| transcript.pyannote[169].start |
711.90284375 |
| transcript.pyannote[169].end |
711.91971875 |
| transcript.pyannote[170].speaker |
SPEAKER_00 |
| transcript.pyannote[170].start |
711.91971875 |
| transcript.pyannote[170].end |
711.93659375 |
| transcript.pyannote[171].speaker |
SPEAKER_01 |
| transcript.pyannote[171].start |
711.93659375 |
| transcript.pyannote[171].end |
711.95346875 |
| transcript.pyannote[172].speaker |
SPEAKER_00 |
| transcript.pyannote[172].start |
711.95346875 |
| transcript.pyannote[172].end |
711.97034375 |
| transcript.pyannote[173].speaker |
SPEAKER_01 |
| transcript.pyannote[173].start |
711.97034375 |
| transcript.pyannote[173].end |
712.69596875 |
| transcript.pyannote[174].speaker |
SPEAKER_00 |
| transcript.pyannote[174].start |
712.69596875 |
| transcript.pyannote[174].end |
714.56909375 |
| transcript.pyannote[175].speaker |
SPEAKER_01 |
| transcript.pyannote[175].start |
712.71284375 |
| transcript.pyannote[175].end |
717.99471875 |
| transcript.pyannote[176].speaker |
SPEAKER_00 |
| transcript.pyannote[176].start |
716.08784375 |
| transcript.pyannote[176].end |
716.72909375 |
| transcript.pyannote[177].speaker |
SPEAKER_01 |
| transcript.pyannote[177].start |
718.28159375 |
| transcript.pyannote[177].end |
722.46659375 |
| transcript.pyannote[178].speaker |
SPEAKER_01 |
| transcript.pyannote[178].start |
722.66909375 |
| transcript.pyannote[178].end |
725.25096875 |
| transcript.pyannote[179].speaker |
SPEAKER_01 |
| transcript.pyannote[179].start |
725.58846875 |
| transcript.pyannote[179].end |
727.63034375 |
| transcript.pyannote[180].speaker |
SPEAKER_00 |
| transcript.pyannote[180].start |
728.18721875 |
| transcript.pyannote[180].end |
751.20471875 |
| transcript.pyannote[181].speaker |
SPEAKER_01 |
| transcript.pyannote[181].start |
728.54159375 |
| transcript.pyannote[181].end |
728.76096875 |
| transcript.pyannote[182].speaker |
SPEAKER_01 |
| transcript.pyannote[182].start |
740.10096875 |
| transcript.pyannote[182].end |
741.36659375 |
| transcript.pyannote[183].speaker |
SPEAKER_00 |
| transcript.pyannote[183].start |
751.91346875 |
| transcript.pyannote[183].end |
758.20784375 |
| transcript.pyannote[184].speaker |
SPEAKER_00 |
| transcript.pyannote[184].start |
758.57909375 |
| transcript.pyannote[184].end |
760.73909375 |
| transcript.pyannote[185].speaker |
SPEAKER_00 |
| transcript.pyannote[185].start |
761.24534375 |
| transcript.pyannote[185].end |
761.93721875 |
| transcript.pyannote[186].speaker |
SPEAKER_00 |
| transcript.pyannote[186].start |
762.64596875 |
| transcript.pyannote[186].end |
765.76784375 |
| transcript.pyannote[187].speaker |
SPEAKER_00 |
| transcript.pyannote[187].start |
765.86909375 |
| transcript.pyannote[187].end |
767.80971875 |
| transcript.pyannote[188].speaker |
SPEAKER_01 |
| transcript.pyannote[188].start |
767.80971875 |
| transcript.pyannote[188].end |
780.80346875 |
| transcript.pyannote[189].speaker |
SPEAKER_01 |
| transcript.pyannote[189].start |
780.97221875 |
| transcript.pyannote[189].end |
787.03034375 |
| transcript.pyannote[190].speaker |
SPEAKER_00 |
| transcript.pyannote[190].start |
787.03034375 |
| transcript.pyannote[190].end |
787.48596875 |
| transcript.pyannote[191].speaker |
SPEAKER_01 |
| transcript.pyannote[191].start |
787.48596875 |
| transcript.pyannote[191].end |
787.62096875 |
| transcript.pyannote[192].speaker |
SPEAKER_00 |
| transcript.pyannote[192].start |
787.62096875 |
| transcript.pyannote[192].end |
797.39159375 |
| transcript.pyannote[193].speaker |
SPEAKER_01 |
| transcript.pyannote[193].start |
787.65471875 |
| transcript.pyannote[193].end |
788.48159375 |
| transcript.pyannote[194].speaker |
SPEAKER_01 |
| transcript.pyannote[194].start |
788.78534375 |
| transcript.pyannote[194].end |
788.80221875 |
| transcript.pyannote[195].speaker |
SPEAKER_01 |
| transcript.pyannote[195].start |
788.88659375 |
| transcript.pyannote[195].end |
789.34221875 |
| transcript.pyannote[196].speaker |
SPEAKER_01 |
| transcript.pyannote[196].start |
793.45971875 |
| transcript.pyannote[196].end |
797.64471875 |
| transcript.pyannote[197].speaker |
SPEAKER_01 |
| transcript.pyannote[197].start |
797.71221875 |
| transcript.pyannote[197].end |
808.17471875 |
| transcript.pyannote[198].speaker |
SPEAKER_00 |
| transcript.pyannote[198].start |
810.08159375 |
| transcript.pyannote[198].end |
811.65096875 |
| transcript.pyannote[199].speaker |
SPEAKER_01 |
| transcript.pyannote[199].start |
811.65096875 |
| transcript.pyannote[199].end |
814.70534375 |
| transcript.pyannote[200].speaker |
SPEAKER_00 |
| transcript.pyannote[200].start |
814.31721875 |
| transcript.pyannote[200].end |
828.40784375 |
| transcript.pyannote[201].speaker |
SPEAKER_01 |
| transcript.pyannote[201].start |
821.11784375 |
| transcript.pyannote[201].end |
822.48471875 |
| transcript.pyannote[202].speaker |
SPEAKER_01 |
| transcript.pyannote[202].start |
827.81721875 |
| transcript.pyannote[202].end |
829.58909375 |
| transcript.pyannote[203].speaker |
SPEAKER_00 |
| transcript.pyannote[203].start |
828.96471875 |
| transcript.pyannote[203].end |
846.32909375 |
| transcript.pyannote[204].speaker |
SPEAKER_00 |
| transcript.pyannote[204].start |
847.62846875 |
| transcript.pyannote[204].end |
861.71909375 |
| transcript.pyannote[205].speaker |
SPEAKER_00 |
| transcript.pyannote[205].start |
861.98909375 |
| transcript.pyannote[205].end |
873.02534375 |
| transcript.pyannote[206].speaker |
SPEAKER_00 |
| transcript.pyannote[206].start |
873.46409375 |
| transcript.pyannote[206].end |
878.25659375 |
| transcript.pyannote[207].speaker |
SPEAKER_00 |
| transcript.pyannote[207].start |
878.83034375 |
| transcript.pyannote[207].end |
926.51909375 |
| transcript.pyannote[208].speaker |
SPEAKER_00 |
| transcript.pyannote[208].start |
926.92409375 |
| transcript.pyannote[208].end |
931.14284375 |
| transcript.pyannote[209].speaker |
SPEAKER_00 |
| transcript.pyannote[209].start |
931.73346875 |
| transcript.pyannote[209].end |
933.58971875 |
| transcript.pyannote[210].speaker |
SPEAKER_00 |
| transcript.pyannote[210].start |
934.02846875 |
| transcript.pyannote[210].end |
952.57409375 |
| transcript.pyannote[211].speaker |
SPEAKER_00 |
| transcript.pyannote[211].start |
952.89471875 |
| transcript.pyannote[211].end |
959.25659375 |
| transcript.pyannote[212].speaker |
SPEAKER_00 |
| transcript.pyannote[212].start |
959.71221875 |
| transcript.pyannote[212].end |
964.67346875 |
| transcript.pyannote[213].speaker |
SPEAKER_00 |
| transcript.pyannote[213].start |
964.89284375 |
| transcript.pyannote[213].end |
969.76971875 |
| transcript.pyannote[214].speaker |
SPEAKER_00 |
| transcript.pyannote[214].start |
971.59221875 |
| transcript.pyannote[214].end |
975.35534375 |
| transcript.pyannote[215].speaker |
SPEAKER_01 |
| transcript.pyannote[215].start |
972.92534375 |
| transcript.pyannote[215].end |
974.08971875 |
| transcript.pyannote[216].speaker |
SPEAKER_00 |
| transcript.pyannote[216].start |
975.52409375 |
| transcript.pyannote[216].end |
978.93284375 |
| transcript.pyannote[217].speaker |
SPEAKER_00 |
| transcript.pyannote[217].start |
979.32096875 |
| transcript.pyannote[217].end |
981.56534375 |
| transcript.pyannote[218].speaker |
SPEAKER_00 |
| transcript.pyannote[218].start |
982.08846875 |
| transcript.pyannote[218].end |
982.84784375 |
| transcript.pyannote[219].speaker |
SPEAKER_00 |
| transcript.pyannote[219].start |
984.36659375 |
| transcript.pyannote[219].end |
986.07096875 |
| transcript.pyannote[220].speaker |
SPEAKER_00 |
| transcript.pyannote[220].start |
987.13409375 |
| transcript.pyannote[220].end |
988.88909375 |
| transcript.pyannote[221].speaker |
SPEAKER_00 |
| transcript.pyannote[221].start |
989.80034375 |
| transcript.pyannote[221].end |
1000.16159375 |
| transcript.pyannote[222].speaker |
SPEAKER_00 |
| transcript.pyannote[222].start |
1000.17846875 |
| transcript.pyannote[222].end |
1000.81971875 |
| transcript.pyannote[223].speaker |
SPEAKER_02 |
| transcript.pyannote[223].start |
1001.74784375 |
| transcript.pyannote[223].end |
1010.99534375 |
| transcript.pyannote[224].speaker |
SPEAKER_02 |
| transcript.pyannote[224].start |
1011.06284375 |
| transcript.pyannote[224].end |
1016.44596875 |
| transcript.pyannote[225].speaker |
SPEAKER_00 |
| transcript.pyannote[225].start |
1015.83846875 |
| transcript.pyannote[225].end |
1021.18784375 |
| transcript.pyannote[226].speaker |
SPEAKER_02 |
| transcript.pyannote[226].start |
1017.37409375 |
| transcript.pyannote[226].end |
1018.55534375 |
| transcript.pyannote[227].speaker |
SPEAKER_00 |
| transcript.pyannote[227].start |
1021.20471875 |
| transcript.pyannote[227].end |
1021.25534375 |
| transcript.pyannote[228].speaker |
SPEAKER_02 |
| transcript.pyannote[228].start |
1021.25534375 |
| transcript.pyannote[228].end |
1027.61721875 |
| transcript.pyannote[229].speaker |
SPEAKER_00 |
| transcript.pyannote[229].start |
1021.27221875 |
| transcript.pyannote[229].end |
1021.35659375 |
| transcript.pyannote[230].speaker |
SPEAKER_00 |
| transcript.pyannote[230].start |
1021.84596875 |
| transcript.pyannote[230].end |
1029.62534375 |
| transcript.pyannote[231].speaker |
SPEAKER_00 |
| transcript.pyannote[231].start |
1030.70534375 |
| transcript.pyannote[231].end |
1031.02596875 |
| transcript.pyannote[232].speaker |
SPEAKER_00 |
| transcript.pyannote[232].start |
1033.01721875 |
| transcript.pyannote[232].end |
1035.09284375 |
| transcript.whisperx[0].start |
13.651 |
| transcript.whisperx[0].end |
15.46 |
| transcript.whisperx[0].text |
麻煩請那個副市長請副市長 |
| transcript.whisperx[1].start |
23.869 |
| transcript.whisperx[1].end |
45.768 |
| transcript.whisperx[1].text |
我們現在討論軍公教育加薪除了給軍公教育一定的尊重之外其實是要解決全台公務人員缺額率逐漸創新高的問題現在數據是缺額逐漸是創新高報考人數也變少了離職跟離退同步攀升而且都會缺口最嚴重現在台北市的缺額已經到20%這個嚴重狀況你應該知道吧 |
| transcript.whisperx[2].start |
48.192 |
| transcript.whisperx[2].end |
63.777 |
| transcript.whisperx[2].text |
跟委員報告這個台北市那個可能就是美女報點有一點偏誤因為他們是他最大的問題應該是在勢力聯誼他雖然有正式的原則他為了經營的關係因為我要問的重點在後面但是公務人員變就是缺額變多是事實是一個趨勢這個是不容否認所以我不太懂說前一個范雲委員去懲罵總統時代加薪多少幹嘛馬總統時代公務人員有離職潮那麼高嗎有缺額這麼多嗎 |
| transcript.whisperx[3].start |
78.061 |
| transcript.whisperx[3].end |
100.152 |
| transcript.whisperx[3].text |
沒有嘛 那時候公務員鐵半碗欸 大家擠得進欸大家都搶著要報效國家 搶著然後軍公教那時候待遇也比較好嘛跟委員報告就是跟經濟情況有很大的關係對嘛 所以跟經濟情況就有關係所以兩個年代就不 現在是民間的經濟比較差的話所以副委員長你就講對 那你剛剛就不敢講啊你就不敢講說馬總統那時候經濟狀況沒有差到那麼大啊 |
| transcript.whisperx[4].start |
103.334 |
| transcript.whisperx[4].end |
130.392 |
| transcript.whisperx[4].text |
然後所以去扯這個我真的覺得有時候去脈絡化的討論喔在這邊帶風向好像民進黨做得比較好啊什麼什麼馬總統對軍工業比較差啊這種我真的有時候真的聽不太下去啦我們大家就就事論事要解決問題嘛好那這個副仁市長對啦那副仁市長您自己也常常在臉書發表文章啦有一篇文章我也看了你說明你說明年政府肯定會調薪啦只是你那個不是我的臉書發表員不是你的臉書是不是 |
| transcript.whisperx[5].start |
133.234 |
| transcript.whisperx[5].end |
146.91 |
| transcript.whisperx[5].text |
那這是這不是我不是 這另外一位啦另外一位 對不起沒有 是另外一位那這一個這一個人 施能傑對不起他不是你 對不起他講說 |
| transcript.whisperx[6].start |
149.137 |
| transcript.whisperx[6].end |
169.703 |
| transcript.whisperx[6].text |
前面他是在講他不支持定額調薪他不是定額調薪他是支持按照比例調薪原因是因為如果按照如果定額調薪的話那高薪的跟低薪的最後的差距會越來越小他認為責任責任的重點應該是說越高薪的負越大的責任這就是他的看法可是他下面講了一個他說 |
| transcript.whisperx[7].start |
170.823 |
| transcript.whisperx[7].end |
192.337 |
| transcript.whisperx[7].text |
主張定額調薪論點總是拿第一跟第二值月薪低為理由認為和最低工資差距只有幾千塊然後他講說這個解決這個方案應該是其他什麼意思呢就是我們先不去炒說到底要定額調薪還是按照比例調薪但是大家都可以有共識的就是值等比較低的他的薪水確實是很低 |
| transcript.whisperx[8].start |
192.777 |
| transcript.whisperx[8].end |
217.297 |
| transcript.whisperx[8].text |
因為我也有跟很多就是很基層的他做很久了十幾二十年了薪水都加一點點每次都會按照那個比例加薪加到後來他都無感他說他按照比例加薪有時候不如不加那是某一個人的特定看法也不見得代表全部啦為什麼呢因為通常這樣子加的結果呢通膨就會比較嚴重他買便當的錢會變高有時候他加薪的一點點呢其實抵不上通膨的速度 |
| transcript.whisperx[9].start |
218.139 |
| transcript.whisperx[9].end |
223.435 |
| transcript.whisperx[9].text |
這個是某一位某一部分的人的心聲我是給你參考所以我覺得現在 |
| transcript.whisperx[10].start |
224.851 |
| transcript.whisperx[10].end |
248.952 |
| transcript.whisperx[10].text |
我們先不去炒說到底要按照比例調薪還是定額調薪但是針對很基層的人他們的薪水的樓地板把它提高我覺得是有必要的那我特別去看的就是公務人員公友跟技工的薪水像公務人員現在最低薪資的三萬四這就按照富人市長所講的在跟業界是沒有競爭力的啦那更不要講公友現在是三萬二啦技工是三萬三這樣的薪水啊 |
| transcript.whisperx[11].start |
249.733 |
| transcript.whisperx[11].end |
276.333 |
| transcript.whisperx[11].text |
你要請到人來其實真的非常困難你到公部門的責任壓力啊受的法規的約束規範都是比較嚴格的所以我在想你們可不可以針對樓地板的部分至少針對樓地板的部分做一個定額的調薪嘛比如說怎麼樣把它拉到跟這個業界至少差不多的水準甚至稍微有點誘因讓大家願意進來我知道這個人事總署有沒有做這樣的規劃有沒有 |
| transcript.whisperx[12].start |
278.313 |
| transcript.whisperx[12].end |
292.169 |
| transcript.whisperx[12].text |
跟委員報告這一段期間我們都一直在蒐集各界的意見當然各種意見都有就是包括委員剛才講的到底是怎麼調調多少其實大家都很多針對問題回答我們會 |
| transcript.whisperx[13].start |
296.254 |
| transcript.whisperx[13].end |
306.263 |
| transcript.whisperx[13].text |
針對問題回答所有的我們都會去考慮針對問題回答我的問題是什麼問題是說基層的部分要不要把它對所以我就針對我這個問題針對這個問題回答這是以我們主管機關立場我們提方案的時候我們會去考慮你說考慮什麼但是我們還要通過你不要講一個那麼籠統什麼什麼方案都可以我現在的問題是什麼 |
| transcript.whisperx[14].start |
320.359 |
| transcript.whisperx[14].end |
346.688 |
| transcript.whisperx[14].text |
我的問題是什麼我花那麼多時間跟你陳述這個事情低階的公務員的薪水能夠把他提高一點嘛樓地板提高那針對這件事情您的看法是什麼我們會去努力啦你們會去努力那大概什麼時候會有方案出來我們的方案我們之前有報告過我們這個是要搭配總預算一定要提高 |
| transcript.whisperx[15].start |
348.129 |
| transcript.whisperx[15].end |
361.264 |
| transcript.whisperx[15].text |
搭配總預算的期程所以上次我在委員會有報告說所以針對就是七一層的公務人員的樓地板提高這個方案什麼時候會提出來只要搭配總預算所以這大概是什麼時候所以大概是什麼時候 |
| transcript.whisperx[16].start |
362.625 |
| transcript.whisperx[16].end |
370.787 |
| transcript.whisperx[16].text |
我們就希望7月以前可以送到7月以前針對這個樓地板提高的這個方案7月我們會通案對不要講通案我現在沒有講通案我說針對樓地板提高這個方案你是說7月會提出來嗎是不是我們是整個方案會去考慮不會單獨一個方案不是啦那你就在糊弄我嘛我在外面打B我不會是糊弄你 |
| transcript.whisperx[17].start |
382.571 |
| transcript.whisperx[17].end |
390.896 |
| transcript.whisperx[17].text |
那副委員市長你覺得應不應該樓地板提高你覺得應不應該樓地板提高你覺得應不應該樓地板提高你樓地板提高你覺得應不應該樓地板提高這個我不反對我不反對你覺得應不應該上次我其實已經你覺得應不應該我已經報告過了照顧基層也是你覺得應不應該照顧基層是應該的你覺得應該照顧基層所以要做嘛那什麼時辰什麼時辰的話是七月嘛OK好謝謝 |
| transcript.whisperx[18].start |
411.93 |
| transcript.whisperx[18].end |
427.377 |
| transcript.whisperx[18].text |
接下來我們再來看還有一個跟公務人員福利也比較有關的就是所謂的育嬰留職停薪現在因為公務人員育嬰留職停薪他的勤領的津貼是按照本縫乘以0.8 |
| transcript.whisperx[19].start |
428.297 |
| transcript.whisperx[19].end |
449.591 |
| transcript.whisperx[19].text |
但是因為很多公務員他們的其實所有的薪資是本奉加上加給嘛所以才是他真正每個月的薪資但本奉通常比較不是不是完成的薪資嘛那你如果用本奉去乘0.8會造成一個狀況就是他們勤領的預因留職停薪的津貼比勞保還要低啦比一般勞保還要低啦那這個部分人事總署有發現嗎 |
| transcript.whisperx[20].start |
452.337 |
| transcript.whisperx[20].end |
469.112 |
| transcript.whisperx[20].text |
這個問題就是因為現在的育嬰留子今天不管是公園老公其實都是在保險裡面去處理公保老闆去處理那公保老闆處理他的財務是自主所以他都是用他的保訪 |
| transcript.whisperx[21].start |
470.939 |
| transcript.whisperx[21].end |
484.654 |
| transcript.whisperx[21].text |
去當然嘛但是這個制度是政府訂的嘛委員的意見我們可以這是政府訂的這是你知道你自己在講什麼嗎這個制度是政府訂的當然是按照保險但是這個制度是政府訂的我現在是指出這個問題嘛 |
| transcript.whisperx[22].start |
486.195 |
| transcript.whisperx[22].end |
511.468 |
| transcript.whisperx[22].text |
就是現在公務人員的公務人員在請育嬰停職津貼他所請領的是比一般勞工還有低因為他本分低於最低薪資嘛而且這人不少啊去年我問了大概五千個公務人員去請育嬰留職津貼然後大概有兩成的人一千的人他領的錢是比最低薪資能夠領到的育嬰留職津貼的津貼還要少嘛跟委員跟委員報告其實這個 |
| transcript.whisperx[23].start |
515.97 |
| transcript.whisperx[23].end |
541.698 |
| transcript.whisperx[23].text |
這個主管機關全局部其實之前就有在考慮這個問題他們會在這個去考慮因為你是人總人總其實也是就管所有公務人員的嗎我們跟考試院我們跟考試院都是協作很多跌床架屋的狀況我們就不去講了啦但是如果就是對啦這個部分你們去注意大概什麼時候會提出一個方案出來 |
| transcript.whisperx[24].start |
548.025 |
| transcript.whisperx[24].end |
571.457 |
| transcript.whisperx[24].text |
應該是在這個年度內就會提啦這個年度就是這個年度就會提因為那個是法案嘛他要有法案他要送到考試院院會然後再來我跟您請教一下齁這個有關於身心調適加我請教育部一起上來好不好教育部的人一起上來齁身心現在這個政府啊之前很高調的宣布啊 |
| transcript.whisperx[25].start |
572.441 |
| transcript.whisperx[25].end |
596.656 |
| transcript.whisperx[25].text |
所以為了要推動健康台灣所以呢要給公務人員包括老師在內要有三天的身心調適假就是讓大家可以保持良好的身心狀態而且感覺上很體恤公務人員很體恤老師啦那這裡面有幾個問題第一個我問一下富仁市長身心調適假目前實施以來請人多不多我看的數字是 |
| transcript.whisperx[26].start |
601.286 |
| transcript.whisperx[26].end |
628.863 |
| transcript.whisperx[26].text |
也還蠻多的現在中央跟地方我們統計到4月底因為他那個每個的這個採集系統是各自不一樣他們會有一個定期的時間會到給我們現在是有申請的是有29673人次大概佔多少比例比例我是倒是沒去算但是這個比例應該 |
| transcript.whisperx[27].start |
630.683 |
| transcript.whisperx[27].end |
656.474 |
| transcript.whisperx[27].text |
也不算低啦不算低所以你自己覺得生性調適價的成果好嗎現在看起來是有一些效果因為總的時數也達到26萬多小時如果生性調適價有人請的話那我就舉出幾個我覺得不合理的地方第一個你的生性調適價是併入7天市價計算對不對換言之在人事總署的觀念裡面生性調適價就是有市對吧 |
| transcript.whisperx[28].start |
658.516 |
| transcript.whisperx[28].end |
675.924 |
| transcript.whisperx[28].text |
你們的價別分併價 市價 公價嘛結果你認為身心條市價你有市 所以你請身心條市價他是併入市價計算他不是獨立的價別所以換言之你有七天的免就是不用薪資的市價他請的身心條市價 那個七天 |
| transcript.whisperx[29].start |
676.744 |
| transcript.whisperx[29].end |
682.051 |
| transcript.whisperx[29].text |
就是不扣薪的市價就少了三天跟葉委員報告他其實莊瑞雄莊召委也有提同樣的問題啦有提同樣的問題你特別提到莊瑞雄幹嘛剛剛有 他剛剛有講剛剛他們有提問所以我今天有請人是總長不是啦 那現在是我在質詢啊 |
| transcript.whisperx[30].start |
694.668 |
| transcript.whisperx[30].end |
712.964 |
| transcript.whisperx[30].text |
所以我會說我這個會移併我不知道他講什麼啊因為我剛剛在忙別的事啊就是新一條市價這個什麼樣啊新一條市價怎麼樣啊你就針對我的問題回答就好了所以是現在是怎麼樣莊惠熊我沒有聽啊一樣啦就是一樣的問題什麼問題啊就是新一條市價併入市價這個問題所以是外加三天是不是 |
| transcript.whisperx[31].start |
718.368 |
| transcript.whisperx[31].end |
726.138 |
| transcript.whisperx[31].text |
他也認為這個可以再放寬那這個部分我們就一併跟全局部來討論 |
| transcript.whisperx[32].start |
728.846 |
| transcript.whisperx[32].end |
750.895 |
| transcript.whisperx[32].text |
因為不好意思啦 因為這是我的職運時間我是外委員會的 所以其他你們的委員會在問什麼我並沒有聽所以他講什麼我不知道所以我今天針對我的問題 我覺得七天試駕 你是含三天而且你把身心調適駕是病毒試駕 你感覺是有人請身心調適駕代表他有事 |
| transcript.whisperx[33].start |
751.977 |
| transcript.whisperx[33].end |
767.519 |
| transcript.whisperx[33].text |
可是你們當初提說要提這個身心調適之下說健康台灣是為了身心健康結果你把他定位在有事你有事很奇怪我覺得第一個這個很奇怪第二個第二就是外加的部分 |
| transcript.whisperx[34].start |
767.879 |
| transcript.whisperx[34].end |
774.343 |
| transcript.whisperx[34].text |
委員要不要給我一點時間說明我其實可以跟委員做說明當初這個身心調適駕並試駕其實有很多各種不同的聲音在考慮也有一部分人認為說你如果給他這個太明顯的標籤話會讓同仁不敢申請不是一樣嗎你現在就鼓勵大家去請身心調適駕然後你還說我怕標籤話所以你就偷偷默默請就好你只要請試駕不要請身心調適駕 |
| transcript.whisperx[35].start |
798.42 |
| transcript.whisperx[35].end |
807.96 |
| transcript.whisperx[35].text |
那所以最後的大概建議是說先併入試駕然後就是不需要提旅遊然後身心調適下也不會影響到烤雞等等的其實它還是有差別 |
| transcript.whisperx[36].start |
811.07 |
| transcript.whisperx[36].end |
832.365 |
| transcript.whisperx[36].text |
還是有差別對他不會影響他考進去請試駕考進去所以有兩個問題嘛第一個我覺得不應該叫試駕啦身心調適駕不應該叫試駕啦我覺得啦因為你主要是要大家調適身心嘛這是第一個層次的問題第二個層次的問題才是說你外加要加幾天嘛他還是叫身心調適駕他叫身心調適駕但是是外加的你等於多給他三天駕 |
| transcript.whisperx[37].start |
833.146 |
| transcript.whisperx[37].end |
844.893 |
| transcript.whisperx[37].text |
那這個三天假是不是三天是不是三天然後是不是外加這是第二個層次的問題這是我提出來的好不好然後然後教育部教育部我跟您請教一下這個 |
| transcript.whisperx[38].start |
847.677 |
| transcript.whisperx[38].end |
872.802 |
| transcript.whisperx[38].text |
身心調試這樣 一樣站在公務人員角度是希望公務人員維持身心健康 放鬆心情然後讓他可以這個工作上面或者是在各方面可以更順利在職場 在教師的現場也是一樣但是其實你有沒有發現現在其實老師壓力非常大我跟非常多老師聊天 都跟我反應他們都帶著熱忱到教育現場裡面去很多老師現在都在看身心科了 |
| transcript.whisperx[39].start |
873.542 |
| transcript.whisperx[39].end |
898.568 |
| transcript.whisperx[39].text |
但他看身心科絕對不是你放個三天身心調適假就可以解決這個問題了嘛所以你們有沒有去特別去了解一下背後真正原因是什麼有嗎這才是你要去解決的我就舉一個大家都知道前一段時間很不幸就是高雄有一個老師選擇用方式結束他的生命大家都覺得非常的難過教育現場已經失序了然後最近又有一個高雄一個網紅的老師忽然間問說學校最高有幾層樓 |
| transcript.whisperx[40].start |
899.628 |
| transcript.whisperx[40].end |
925.719 |
| transcript.whisperx[40].text |
然後被大家勸去送醫這個我不知道教育部知不知道情況是逐漸在惡化當中這不是靠三天身心調試假就可以解決的然後發生這樣的不幸事件的時候教育部是怎麼叫老師們去維持身心健康呢怎麼解決教師情緒呢去上自殺防治研習就叫他老師去唱研習老師更生氣 |
| transcript.whisperx[41].start |
927.04 |
| transcript.whisperx[41].end |
951.992 |
| transcript.whisperx[41].text |
因為上研習還要額外排自己的時間上那種研習有用嗎你不如讓他好好休息所以很多老師就講你看一年的研習那麼多時間環境教育 交通安全 特殊教育又防智商 情緒教育又一大堆只要好像注意到什麼就叫老師去做研習重視交通安全就叫老師去研習重視情緒教育又老師又要去研習 |
| transcript.whisperx[42].start |
953.012 |
| transcript.whisperx[42].end |
969.549 |
| transcript.whisperx[42].text |
一直去研習研習有用研習如果有用的話現在這個狀況不會這麼嚴重所以真的請教育部我覺得人總也要負起責任教育教師也是公務人員吧應該人總也管得到吧 |
| transcript.whisperx[43].start |
971.857 |
| transcript.whisperx[43].end |
999.524 |
| transcript.whisperx[43].text |
好 是麻煩那個葉委員這個禁訴是不是可以你們真的請教育部你們去針對真的會造成老師身心會有壓力的那個部分去檢討而不是這民進黨政府都很會宣傳啊身心調度假好棒啊這樣子啊就可以促進健康台灣的有那麼容易嗎如果那麼容易的話會造成這些狀況嗎教育部 |
| transcript.whisperx[44].start |
1001.769 |
| transcript.whisperx[44].end |
1029.295 |
| transcript.whisperx[44].text |
跟委員報告教育部其實一直都很重視我們教師的一個職場環境那也做了很多的努力啦那我相信委員在教委在教委委員會裡面應該都有看到教育部的努力我是沒看到很努力啦不要在這邊內宣啦要講講不完的啦如果教育部那麼努力的話老師都不會這麼無力了啦我現在發現教育部的問題就是自我感覺良好謝謝 |
| transcript.whisperx[45].start |
1033.069 |
| transcript.whisperx[45].end |
1033.19 |
| transcript.whisperx[45].text |
好 謝謝葉委員的資訊 |