| IVOD_ID |
164697 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/164697 |
| 日期 |
2025-10-23 |
| 會議資料.會議代碼 |
公聽會-2025101636 |
| 會議資料.會議代碼:str |
「公立學校教職員退休資遣撫卹條例部分條文修正草案」公聽會 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
4 |
| 會議資料.種類 |
公聽會 |
| 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 |
立法院第11屆第4會期司法及法制委員會公聽會（事由：「公立學校教職員退休資遣撫卹條例部分條文修正草案」公聽會） |
| 影片種類 |
Clip |
| 開始時間 |
2025-10-23T12:19:01+08:00 |
| 結束時間 |
2025-10-23T12:28:57+08:00 |
| 影片長度 |
00:09:56 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/1f1f5c91750503d34484a89c2b95600b8145a59dfde0be428b7bf11cd0d9a0f43b1f0242bc217b355ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
張啓楷 |
| 委員發言時間 |
12:19:01 - 12:28:57 |
| 會議時間 |
2025-10-23T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期司法及法制委員會公聽會（事由：「公立學校教職員退休資遣撫卹條例部分條文修正草案」公聽會） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
7.35471875 |
| transcript.pyannote[0].end |
17.09159375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
17.34471875 |
| transcript.pyannote[1].end |
19.62284375 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
20.06159375 |
| transcript.pyannote[2].end |
21.32721875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
21.85034375 |
| transcript.pyannote[3].end |
34.48971875 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
34.70909375 |
| transcript.pyannote[4].end |
36.34596875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
38.18534375 |
| transcript.pyannote[5].end |
41.23971875 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
41.74596875 |
| transcript.pyannote[6].end |
42.67409375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
43.63596875 |
| transcript.pyannote[7].end |
46.43721875 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
47.60159375 |
| transcript.pyannote[8].end |
52.79909375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
52.81596875 |
| transcript.pyannote[9].end |
67.22721875 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
67.73346875 |
| transcript.pyannote[10].end |
68.91471875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
69.26909375 |
| transcript.pyannote[11].end |
75.88409375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
76.49159375 |
| transcript.pyannote[12].end |
78.43221875 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
79.07346875 |
| transcript.pyannote[13].end |
82.95471875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
83.47784375 |
| transcript.pyannote[14].end |
85.90784375 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
86.85284375 |
| transcript.pyannote[15].end |
90.34596875 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
91.34159375 |
| transcript.pyannote[16].end |
96.62346875 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
97.11284375 |
| transcript.pyannote[17].end |
99.44159375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
100.53846875 |
| transcript.pyannote[18].end |
102.54659375 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
103.33971875 |
| transcript.pyannote[19].end |
105.26346875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
106.46159375 |
| transcript.pyannote[20].end |
112.48596875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
113.31284375 |
| transcript.pyannote[21].end |
116.83971875 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
117.68346875 |
| transcript.pyannote[22].end |
121.61534375 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
122.42534375 |
| transcript.pyannote[23].end |
123.04971875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
123.85971875 |
| transcript.pyannote[24].end |
128.75346875 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
129.00659375 |
| transcript.pyannote[25].end |
132.33096875 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
132.78659375 |
| transcript.pyannote[26].end |
137.51159375 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
137.81534375 |
| transcript.pyannote[27].end |
139.18221875 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
139.50284375 |
| transcript.pyannote[28].end |
153.57659375 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
154.08284375 |
| transcript.pyannote[29].end |
156.34409375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
157.45784375 |
| transcript.pyannote[30].end |
168.39284375 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
169.20284375 |
| transcript.pyannote[31].end |
172.25721875 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
173.37096875 |
| transcript.pyannote[32].end |
174.61971875 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
175.59846875 |
| transcript.pyannote[33].end |
177.87659375 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
178.45034375 |
| transcript.pyannote[34].end |
182.31471875 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
183.36096875 |
| transcript.pyannote[35].end |
184.74471875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
186.33096875 |
| transcript.pyannote[36].end |
187.52909375 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
188.17034375 |
| transcript.pyannote[37].end |
189.04784375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
189.40221875 |
| transcript.pyannote[38].end |
194.73471875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
195.40971875 |
| transcript.pyannote[39].end |
207.69471875 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
208.75784375 |
| transcript.pyannote[40].end |
209.78721875 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
210.34409375 |
| transcript.pyannote[41].end |
219.43971875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
220.35096875 |
| transcript.pyannote[42].end |
226.52721875 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
227.16846875 |
| transcript.pyannote[43].end |
227.91096875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
228.68721875 |
| transcript.pyannote[44].end |
230.49284375 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
231.15096875 |
| transcript.pyannote[45].end |
231.79221875 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
232.11284375 |
| transcript.pyannote[46].end |
232.88909375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
233.91846875 |
| transcript.pyannote[47].end |
236.23034375 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
237.52971875 |
| transcript.pyannote[48].end |
240.04409375 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
240.41534375 |
| transcript.pyannote[49].end |
249.05534375 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
251.35034375 |
| transcript.pyannote[50].end |
256.12596875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
256.51409375 |
| transcript.pyannote[51].end |
257.25659375 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
257.61096875 |
| transcript.pyannote[52].end |
266.36909375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
266.87534375 |
| transcript.pyannote[53].end |
276.17346875 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
277.08471875 |
| transcript.pyannote[54].end |
279.51471875 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
280.49346875 |
| transcript.pyannote[55].end |
281.60721875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
283.22721875 |
| transcript.pyannote[56].end |
288.57659375 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
289.42034375 |
| transcript.pyannote[57].end |
291.74909375 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
292.60971875 |
| transcript.pyannote[58].end |
294.98909375 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
297.26721875 |
| transcript.pyannote[59].end |
297.95909375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
298.60034375 |
| transcript.pyannote[60].end |
299.59596875 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
300.43971875 |
| transcript.pyannote[61].end |
301.68846875 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
302.34659375 |
| transcript.pyannote[62].end |
305.14784375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
305.85659375 |
| transcript.pyannote[63].end |
309.80534375 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
310.85159375 |
| transcript.pyannote[64].end |
315.42471875 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
316.20096875 |
| transcript.pyannote[65].end |
317.53409375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
318.36096875 |
| transcript.pyannote[66].end |
321.66846875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
323.27159375 |
| transcript.pyannote[67].end |
324.94221875 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
325.31346875 |
| transcript.pyannote[68].end |
327.15284375 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
327.38909375 |
| transcript.pyannote[69].end |
329.02596875 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
329.86971875 |
| transcript.pyannote[70].end |
331.18596875 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
332.45159375 |
| transcript.pyannote[71].end |
333.73409375 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
335.26971875 |
| transcript.pyannote[72].end |
337.98659375 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
338.50971875 |
| transcript.pyannote[73].end |
342.99846875 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
343.63971875 |
| transcript.pyannote[74].end |
345.22596875 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
345.56346875 |
| transcript.pyannote[75].end |
351.31784375 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
351.87471875 |
| transcript.pyannote[76].end |
357.05534375 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
357.91596875 |
| transcript.pyannote[77].end |
358.45596875 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
358.82721875 |
| transcript.pyannote[78].end |
372.14159375 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
373.28909375 |
| transcript.pyannote[79].end |
377.44034375 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
378.75659375 |
| transcript.pyannote[80].end |
381.32159375 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
382.41846875 |
| transcript.pyannote[81].end |
388.93221875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
389.65784375 |
| transcript.pyannote[82].end |
391.61534375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
392.22284375 |
| transcript.pyannote[83].end |
398.11221875 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
399.31034375 |
| transcript.pyannote[84].end |
403.93409375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
404.86221875 |
| transcript.pyannote[85].end |
405.95909375 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
407.22471875 |
| transcript.pyannote[86].end |
408.30471875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
409.03034375 |
| transcript.pyannote[87].end |
414.02534375 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
414.37971875 |
| transcript.pyannote[88].end |
415.44284375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
415.79721875 |
| transcript.pyannote[89].end |
418.86846875 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
419.93159375 |
| transcript.pyannote[90].end |
427.05284375 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
427.37346875 |
| transcript.pyannote[91].end |
428.87534375 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
429.34784375 |
| transcript.pyannote[92].end |
430.41096875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
430.69784375 |
| transcript.pyannote[93].end |
433.12784375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
433.71846875 |
| transcript.pyannote[94].end |
434.84909375 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
435.92909375 |
| transcript.pyannote[95].end |
439.21971875 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
439.82721875 |
| transcript.pyannote[96].end |
443.13471875 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
443.99534375 |
| transcript.pyannote[97].end |
449.54721875 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
449.76659375 |
| transcript.pyannote[98].end |
453.39471875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
453.83346875 |
| transcript.pyannote[99].end |
456.76971875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
457.96784375 |
| transcript.pyannote[100].end |
462.18659375 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
463.45221875 |
| transcript.pyannote[101].end |
465.40971875 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
465.94971875 |
| transcript.pyannote[102].end |
468.88596875 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
469.22346875 |
| transcript.pyannote[103].end |
476.68221875 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
478.04909375 |
| transcript.pyannote[104].end |
479.24721875 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
480.95159375 |
| transcript.pyannote[105].end |
482.38596875 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
483.33096875 |
| transcript.pyannote[106].end |
484.37721875 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
484.93409375 |
| transcript.pyannote[107].end |
486.04784375 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
486.40221875 |
| transcript.pyannote[108].end |
487.51596875 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
487.97159375 |
| transcript.pyannote[109].end |
490.13159375 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
490.77284375 |
| transcript.pyannote[110].end |
492.07221875 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
494.53596875 |
| transcript.pyannote[111].end |
498.09659375 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
498.68721875 |
| transcript.pyannote[112].end |
506.65221875 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
507.19221875 |
| transcript.pyannote[113].end |
508.47471875 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
508.94721875 |
| transcript.pyannote[114].end |
519.78096875 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
520.20284375 |
| transcript.pyannote[115].end |
524.28659375 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
524.87721875 |
| transcript.pyannote[116].end |
532.74096875 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
533.01096875 |
| transcript.pyannote[117].end |
542.22471875 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
543.05159375 |
| transcript.pyannote[118].end |
543.60846875 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
544.46909375 |
| transcript.pyannote[119].end |
549.09284375 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
549.66659375 |
| transcript.pyannote[120].end |
556.29846875 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
556.63596875 |
| transcript.pyannote[121].end |
557.19284375 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
557.42909375 |
| transcript.pyannote[122].end |
559.40346875 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
560.71971875 |
| transcript.pyannote[123].end |
562.71096875 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
563.72346875 |
| transcript.pyannote[124].end |
570.33846875 |
| transcript.pyannote[125].speaker |
SPEAKER_00 |
| transcript.pyannote[125].start |
571.48596875 |
| transcript.pyannote[125].end |
574.27034375 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
574.59096875 |
| transcript.pyannote[126].end |
578.48909375 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
578.77596875 |
| transcript.pyannote[127].end |
585.42471875 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
585.61034375 |
| transcript.pyannote[128].end |
586.92659375 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
587.21346875 |
| transcript.pyannote[129].end |
595.83659375 |
| transcript.whisperx[0].start |
7.832 |
| transcript.whisperx[0].end |
33.787 |
| transcript.whisperx[0].text |
謝謝小玲辦了這麼好的公聽會也謝謝這麼多專家寫者提供了這麼深刻的這個建議我今天要提出兩個水庫三個解決方案兩個水庫呢就是在2017年那時候為什麼要犧牲我們的軍工價要砍退休金因為他們說大水庫國家財政有困難第二個小水庫退府基金的錢不夠啦現在這兩個問題都解決了 |
| transcript.whisperx[1].start |
38.243 |
| transcript.whisperx[1].end |
66.811 |
| transcript.whisperx[1].text |
我們的最近幾年的財政良好過去五年我們的稅收超增了兩兆在2017年推動年金改革的時候國家財政確實是困難的可是那時候的中央政府總預算的規模兩兆出頭現在我們快速膨脹到三兆了我們現在是一個有錢的國家不應該再犧牲我們的金工教人員第二個 |
| transcript.whisperx[2].start |
67.873 |
| transcript.whisperx[2].end |
96.25 |
| transcript.whisperx[2].text |
小水庫以前的經營績效確實也不好以前大概2% 3%有時候還是負的大家知道嗎最近幾年 最近5年退府基金這個小水庫經營績效變好了過去5年平均超過9%你現在去看看那個小水庫裡面的這個這個水位啊105年它裡面的錢是5785億今年呢 我剛剛去看了一下 |
| transcript.whisperx[3].start |
97.439 |
| transcript.whisperx[3].end |
121.301 |
| transcript.whisperx[3].text |
1兆810億水位整整成長了快一倍所以國家財政變好了退伍基金的這個經營績效也變好了我覺得不應該再對不起我們的金工教人員犧牲也過多了好 接下來我要提出三個具體的解決方案 |
| transcript.whisperx[4].start |
122.486 |
| transcript.whisperx[4].end |
136.392 |
| transcript.whisperx[4].text |
第一個 尊重當初的主管機關提出的改革方案那時候的主管機關是考試院我的恩師我台大政治系研究所的恩師黃警長黃老師在現場 |
| transcript.whisperx[5].start |
137.898 |
| transcript.whisperx[5].end |
156.134 |
| transcript.whisperx[5].text |
他是那時候的考試委員當初考試院跟全系部提出的改革方案是從所得替代率的80%開始每一年砍1%就到70%的時候會停然後講這個已經很嚴重了你一開始就被砍了20%後來每一年還要砍1%現在更嚴重是什麼 |
| transcript.whisperx[6].start |
157.503 |
| transcript.whisperx[6].end |
184.138 |
| transcript.whisperx[6].text |
民進黨那時候殺紅了眼砍到刀刀劍骨他把80%又降到75多砍 一開始就多了5%了而且把本來每一年的1.5砍成1.5所以大家可以算一下我們今年已經是年改的第7年了年改的第7年了多了5%再加6乘以5 9%我們已經被砍了14%了如果再加前面的20% |
| transcript.whisperx[7].start |
186.345 |
| transcript.whisperx[7].end |
206.032 |
| transcript.whisperx[7].text |
已經砍了34%了非常嚴重那回到考試院原來的版本他從八成每一年只有砍1%應該到70%就要停了大家很明顯的看得出來當初民進黨砍得太兇了你說尊重主管機關考試院的版本事實上也是蔡英文臨改會議的結論 |
| transcript.whisperx[8].start |
208.803 |
| transcript.whisperx[8].end |
232.236 |
| transcript.whisperx[8].text |
尊重專業的話現在已經砍過頭了所以應該回過頭去尊重是不是要慎重考慮 填砍這是第一個解決方案第二個方案更簡單就比較勞工同樣在這個地方每次我在質詢每次有勞動部的部長來勞動部說撥補就是改革他們有三個地方我記得清空教應該都一樣 |
| transcript.whisperx[9].start |
234.159 |
| transcript.whisperx[9].end |
242.609 |
| transcript.whisperx[9].text |
勞工沒有砍 到現在沒有砍 對不對第二個更重要的 他撥補很多最近這7年已經撥補超過5000億了今年撥補1100億 上個禮拜喔特別預算又多了100億 對不對 |
| transcript.whisperx[10].start |
251.363 |
| transcript.whisperx[10].end |
278.603 |
| transcript.whisperx[10].text |
第三個更重要的 每次勞動部長都講啊我們不會破產 因為政府一定會負責到底只要跟對我們的公教人員 對我們的這個教育人員請教育部間在場的同仁 權序部在場的同仁跟勞動部部長都學一點撥補就是改革 不只不要再砍 該撥補的要撥補而且要抬頭挺胸 我們保障公教人員不會破產 政府負最大責任第三個解決方案 問他錢哪邊來 |
| transcript.whisperx[11].start |
280.763 |
| transcript.whisperx[11].end |
306.428 |
| transcript.whisperx[11].text |
減少浪費啊我們的政府現在是歷年來114年最有錢的中央政府一年有三兆的預算可是浪費非常的多我講最近幾個案子光是上個禮拜通過的特別預算出現什麼國防部說國防部說編那個編那個長效的飲用水一瓶水120塊錢一共編了8億要去買水我們民眾黨說哇這個太離譜了 |
| transcript.whisperx[12].start |
310.882 |
| transcript.whisperx[12].end |
330.036 |
| transcript.whisperx[12].text |
我們說砍兩億後來國安部長自己講抱歉抱歉我們之前沒有房價我們自己砍 砍四億四億就省下來啦可以給公教成員給警校啊 給軍公教啊說聯合作戰中心桌椅啊什麼設備要整修一張桌子250萬一張椅子五萬塊錢那是空間還是防彈 |
| transcript.whisperx[13].start |
335.842 |
| transcript.whisperx[13].end |
356.76 |
| transcript.whisperx[13].text |
後來國防部連部長自己都拍謝他吃太多了國防部的錢一下子編太多了自己都吐出來了這個錢也都四處都砍了所以光是去上個禮拜通過這個三讀預算國防部編的預算裡面就省了51下來這51就可以給軍公教給公教人員啊為什麼會說他們的錢不夠呢 |
| transcript.whisperx[14].start |
357.97 |
| transcript.whisperx[14].end |
380.792 |
| transcript.whisperx[14].text |
另外你看光電板幣那麼多浪費那麼多錢幣又那麼多還發生槍擊案那個錢只要整下來錢怎麼會不過呢所以我今天提出了三個解決方案另外我做幾個簡單的提醒我們現在公教之前坎德太兄這個事情已經發生了後遺症了我們的公教我給大家看一下這個圖 |
| transcript.whisperx[15].start |
382.492 |
| transcript.whisperx[15].end |
401.919 |
| transcript.whisperx[15].text |
我去統計了106年到113年各項公務員考試來報考的人大家知道多嚴重嗎 大家看這個圖106年 就是年金改革之前一年來報考公務人員的47萬到了年金改革完之後到了去年113 剩下29萬少了17萬 |
| transcript.whisperx[16].start |
407.284 |
| transcript.whisperx[16].end |
427.693 |
| transcript.whisperx[16].text |
公務員是這樣子這不只傷害公務員的品質啊傷害也是國家啊傷害是我們全民啊再來看教育右邊這個你看那個土那個像一個剖頭多嚴重在107年年金改革的時候你如果拿到教師證的你會進到這個職場去當老師的70%到了111年已經那個抖到什麼地方剩下57 |
| transcript.whisperx[17].start |
435.973 |
| transcript.whisperx[17].end |
464.37 |
| transcript.whisperx[17].text |
就是你也連拿到老師的這個資格你都不一定再去教書了那不只傷害到老師啊傷害到學生 對不對所以他後遺症已經出現了嘛傷害到公務員 傷害到老師也傷害到學生 傷害到整個社會了這個後遺症非常嚴重我們要趕快去補破網 把它補起來另外今天全系部在現場 我要提醒一下今年一月份的時候我在這邊大罵全系部部長說你是八十八點因為他每次精算報告都亂搞 |
| transcript.whisperx[18].start |
466.004 |
| transcript.whisperx[18].end |
491.416 |
| transcript.whisperx[18].text |
他竟然那天對著全國的民眾講說退休的這個警消人員啦有八成領的錢平均起來是七萬六千塊錢我問你對他眼睛看到這個後來真相是什麼可以領到七萬六的不到千分之一一千個不到一個那今天讓我生氣的今天全席部會報告他什麼樣下的你為什麼要去強調 |
| transcript.whisperx[19].start |
494.877 |
| transcript.whisperx[19].end |
519.395 |
| transcript.whisperx[19].text |
約有31%的退休人員超過5萬5你應該是對那個一般可能領的更少人家去講啊你這個報告不是自拿嘴巴嗎你講31%你為什麼不講69%的呢你到底要凸顯什麼所以我剛在講第一個你們學一學人家勞動部好不好去爭取公務員跟教師應該有這個權利好不好我拜託一下請教育部的人員跟前續部抬頭挺胸 |
| transcript.whisperx[20].start |
520.276 |
| transcript.whisperx[20].end |
541.571 |
| transcript.whisperx[20].text |
好 捍衛自己該有的這個權益最後我做一個很重要的提議事實上年金改革這是急著要再處理的是因為當初在年金改革的時候沒有算到高齡的CPI物價指數這個事情所以我們在1120的8月份開始要求高齡超過65歲的CPI是要我給大家看一下大家看一下一般的家庭是左邊這個 |
| transcript.whisperx[21].start |
544.524 |
| transcript.whisperx[21].end |
569.462 |
| transcript.whisperx[21].text |
從 你看 從108年到113年如果算一般的家庭成長多少 9.91可是如果是高齡的 高齡的這個很多長輩因為退下來嘛 可能醫療要很多啊 對不對他是多少 11.39結果他越 年紀越長越沒有錢所以這個是迫切的 迫切的一個改革好 最後說一個結論啦我們今天談的不是一個冰冷這個數據 |
| transcript.whisperx[22].start |
572.028 |
| transcript.whisperx[22].end |
595.334 |
| transcript.whisperx[22].text |
我們希望給我們的公教人員一個有尊嚴有保障的晚年因為我們肯定他們一輩子對我們國家的這個貢獻那今天我也提出三個解決方案好不好請大家好好去看一下減少浪費尊重主管機關而且只要像在照顧勞工一樣來照顧我們的公教人員所有問題都可以解決好 我們一起努力 謝謝 |