| IVOD_ID |
162664 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/162664 |
| 日期 |
2025-06-18 |
| 會議資料.會議代碼 |
聯席會議-11-3-19,26,22-1 |
| 會議資料.會議代碼:str |
第11屆第3會期經濟、社會福利及衛生環境、教育及文化三委員會第1次聯席會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
3 |
| 會議資料.會次 |
1 |
| 會議資料.種類 |
聯席會議 |
| 會議資料.委員會代碼[0] |
19 |
| 會議資料.委員會代碼[1] |
26 |
| 會議資料.委員會代碼[2] |
22 |
| 會議資料.委員會代碼:str[0] |
經濟委員會 |
| 會議資料.委員會代碼:str[1] |
社會福利及衛生環境委員會 |
| 會議資料.委員會代碼:str[2] |
教育及文化委員會 |
| 會議資料.標題 |
第11屆第3會期經濟、社會福利及衛生環境、教育及文化三委員會第1次聯席會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-06-18T13:55:09+08:00 |
| 結束時間 |
2025-06-18T14:03:10+08:00 |
| 影片長度 |
00:08:01 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5617cf280bc2552a580c6366876d3fbe5c8a36db9e18c27bd4357e50006fd97312711eb9931fe1bb5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
張雅琳 |
| 委員發言時間 |
13:55:09 - 14:03:10 |
| 會議時間 |
2025-06-18T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第3會期經濟、社會福利及衛生環境、教育及文化三委員會第1次聯席會議（事由：審查：
一、行政院函請審議「外國專業人才延攬及僱用法修正草案」案。
二、本院委員何欣純等19人擬具「外國專業人才延攬及僱用法第十二條及第十四條條文修正草案」案。
三、本院委員陳亭妃等16人擬具「外國專業人才延攬及僱用法第四條、第六條及第十四條條文修正草案」案。
四、本院委員蔡易餘等17人擬具「外國專業人才延攬及僱用法修正草案」案。
五、本院委員羅美玲等16人擬具「外國專業人才延攬及僱用法修正草案」案。(詢答)
（第一案如未接獲議事處來函則不予審查。）） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
11.67471875 |
| transcript.pyannote[0].end |
14.99909375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
15.35346875 |
| transcript.pyannote[1].end |
16.21409375 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
17.71596875 |
| transcript.pyannote[2].end |
18.01971875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
21.31034375 |
| transcript.pyannote[3].end |
23.14971875 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
23.57159375 |
| transcript.pyannote[4].end |
24.39846875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
25.32659375 |
| transcript.pyannote[5].end |
25.74846875 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
32.16096875 |
| transcript.pyannote[6].end |
32.71784375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
32.71784375 |
| transcript.pyannote[7].end |
46.28534375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
46.57221875 |
| transcript.pyannote[8].end |
49.82909375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
50.72346875 |
| transcript.pyannote[9].end |
51.90471875 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
52.17471875 |
| transcript.pyannote[10].end |
63.76784375 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
64.00409375 |
| transcript.pyannote[11].end |
72.22221875 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
72.64409375 |
| transcript.pyannote[12].end |
74.38221875 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
74.73659375 |
| transcript.pyannote[13].end |
86.31284375 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
77.85846875 |
| transcript.pyannote[14].end |
78.12846875 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
86.59971875 |
| transcript.pyannote[15].end |
96.84284375 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
91.74659375 |
| transcript.pyannote[16].end |
92.15159375 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
97.43346875 |
| transcript.pyannote[17].end |
99.91409375 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
97.87221875 |
| transcript.pyannote[18].end |
98.12534375 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
100.28534375 |
| transcript.pyannote[19].end |
106.02284375 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
100.31909375 |
| transcript.pyannote[20].end |
101.48346875 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
106.27596875 |
| transcript.pyannote[21].end |
108.35159375 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
107.99721875 |
| transcript.pyannote[22].end |
110.51159375 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
109.07721875 |
| transcript.pyannote[23].end |
112.82346875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
112.62096875 |
| transcript.pyannote[24].end |
112.92471875 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
112.92471875 |
| transcript.pyannote[25].end |
113.02596875 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
113.07659375 |
| transcript.pyannote[26].end |
116.83971875 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
115.52346875 |
| transcript.pyannote[27].end |
116.21534375 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
116.78909375 |
| transcript.pyannote[28].end |
117.10971875 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
116.97471875 |
| transcript.pyannote[29].end |
118.54409375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
118.62846875 |
| transcript.pyannote[30].end |
119.03346875 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
119.05034375 |
| transcript.pyannote[31].end |
122.07096875 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
122.49284375 |
| transcript.pyannote[32].end |
129.63096875 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
122.81346875 |
| transcript.pyannote[33].end |
124.29846875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
130.28909375 |
| transcript.pyannote[34].end |
134.96346875 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
131.75721875 |
| transcript.pyannote[35].end |
132.14534375 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
133.81596875 |
| transcript.pyannote[36].end |
134.18721875 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
134.96346875 |
| transcript.pyannote[37].end |
136.31346875 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
135.45284375 |
| transcript.pyannote[38].end |
136.14471875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
136.48221875 |
| transcript.pyannote[39].end |
137.69721875 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
136.81971875 |
| transcript.pyannote[40].end |
139.24971875 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
139.51971875 |
| transcript.pyannote[41].end |
140.00909375 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
139.72221875 |
| transcript.pyannote[42].end |
143.62034375 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
140.56596875 |
| transcript.pyannote[43].end |
140.90346875 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
141.86534375 |
| transcript.pyannote[44].end |
142.16909375 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
142.75971875 |
| transcript.pyannote[45].end |
149.74596875 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
149.83034375 |
| transcript.pyannote[46].end |
150.26909375 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
150.10034375 |
| transcript.pyannote[47].end |
152.61471875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
152.80034375 |
| transcript.pyannote[48].end |
166.78971875 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
157.89659375 |
| transcript.pyannote[49].end |
158.28471875 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
160.73159375 |
| transcript.pyannote[50].end |
161.10284375 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
162.25034375 |
| transcript.pyannote[51].end |
163.97159375 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
166.24971875 |
| transcript.pyannote[52].end |
168.89909375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
169.11846875 |
| transcript.pyannote[53].end |
211.99784375 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
178.33221875 |
| transcript.pyannote[54].end |
178.41659375 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
178.63596875 |
| transcript.pyannote[55].end |
178.65284375 |
| transcript.pyannote[56].speaker |
SPEAKER_01 |
| transcript.pyannote[56].start |
180.67784375 |
| transcript.pyannote[56].end |
180.91409375 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
180.99846875 |
| transcript.pyannote[57].end |
181.04909375 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
212.50409375 |
| transcript.pyannote[58].end |
226.78034375 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
226.98284375 |
| transcript.pyannote[59].end |
238.69409375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
239.43659375 |
| transcript.pyannote[60].end |
244.81971875 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
244.11096875 |
| transcript.pyannote[61].end |
244.49909375 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
244.81971875 |
| transcript.pyannote[62].end |
252.44721875 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
252.71721875 |
| transcript.pyannote[63].end |
254.35409375 |
| transcript.pyannote[64].speaker |
SPEAKER_01 |
| transcript.pyannote[64].start |
254.62409375 |
| transcript.pyannote[64].end |
258.64034375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
258.80909375 |
| transcript.pyannote[65].end |
260.68221875 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
260.78346875 |
| transcript.pyannote[66].end |
266.53784375 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
260.85096875 |
| transcript.pyannote[67].end |
261.18846875 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
266.31846875 |
| transcript.pyannote[68].end |
270.13221875 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
267.31409375 |
| transcript.pyannote[69].end |
267.61784375 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
268.17471875 |
| transcript.pyannote[70].end |
268.93409375 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
270.13221875 |
| transcript.pyannote[71].end |
273.08534375 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
273.32159375 |
| transcript.pyannote[72].end |
275.38034375 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
273.37221875 |
| transcript.pyannote[73].end |
273.77721875 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
275.49846875 |
| transcript.pyannote[74].end |
288.91409375 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
282.70409375 |
| transcript.pyannote[75].end |
283.12596875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
288.66096875 |
| transcript.pyannote[76].end |
289.33596875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
288.94784375 |
| transcript.pyannote[77].end |
288.96471875 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
288.98159375 |
| transcript.pyannote[78].end |
293.09909375 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
293.85846875 |
| transcript.pyannote[79].end |
300.77721875 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
300.89534375 |
| transcript.pyannote[80].end |
334.24034375 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
334.42596875 |
| transcript.pyannote[81].end |
336.50159375 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
336.78846875 |
| transcript.pyannote[82].end |
361.44284375 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
359.99159375 |
| transcript.pyannote[83].end |
364.90221875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
365.12159375 |
| transcript.pyannote[84].end |
368.02409375 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
368.31096875 |
| transcript.pyannote[85].end |
372.49596875 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
372.63096875 |
| transcript.pyannote[86].end |
378.13221875 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
378.09846875 |
| transcript.pyannote[87].end |
380.25846875 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
380.17409375 |
| transcript.pyannote[88].end |
385.99596875 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
380.57909375 |
| transcript.pyannote[89].end |
381.06846875 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
385.15221875 |
| transcript.pyannote[90].end |
386.55284375 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
387.04221875 |
| transcript.pyannote[91].end |
387.81846875 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
389.55659375 |
| transcript.pyannote[92].end |
391.00784375 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
390.09659375 |
| transcript.pyannote[93].end |
390.38346875 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
391.00784375 |
| transcript.pyannote[94].end |
391.17659375 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
391.49721875 |
| transcript.pyannote[95].end |
392.22284375 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
394.63596875 |
| transcript.pyannote[96].end |
396.25596875 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
396.94784375 |
| transcript.pyannote[97].end |
397.13346875 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
397.23471875 |
| transcript.pyannote[98].end |
401.31846875 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
401.53784375 |
| transcript.pyannote[99].end |
402.38159375 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
401.63909375 |
| transcript.pyannote[100].end |
406.19534375 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
404.65971875 |
| transcript.pyannote[101].end |
404.96346875 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
406.07721875 |
| transcript.pyannote[102].end |
406.16159375 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
406.19534375 |
| transcript.pyannote[103].end |
406.24596875 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
406.24596875 |
| transcript.pyannote[104].end |
411.29159375 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
410.07659375 |
| transcript.pyannote[105].end |
415.88159375 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
416.25284375 |
| transcript.pyannote[106].end |
417.55221875 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
417.58596875 |
| transcript.pyannote[107].end |
423.55971875 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
418.68284375 |
| transcript.pyannote[108].end |
418.71659375 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
419.66159375 |
| transcript.pyannote[109].end |
420.52221875 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
423.72846875 |
| transcript.pyannote[110].end |
424.79159375 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
425.34846875 |
| transcript.pyannote[111].end |
436.84034375 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
437.12721875 |
| transcript.pyannote[112].end |
442.83096875 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
442.35846875 |
| transcript.pyannote[113].end |
442.74659375 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
443.11784375 |
| transcript.pyannote[114].end |
443.53971875 |
| transcript.pyannote[115].speaker |
SPEAKER_01 |
| transcript.pyannote[115].start |
443.15159375 |
| transcript.pyannote[115].end |
444.18096875 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
444.65346875 |
| transcript.pyannote[116].end |
448.50096875 |
| transcript.pyannote[117].speaker |
SPEAKER_01 |
| transcript.pyannote[117].start |
445.56471875 |
| transcript.pyannote[117].end |
447.10034375 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
448.97346875 |
| transcript.pyannote[118].end |
463.67159375 |
| transcript.pyannote[119].speaker |
SPEAKER_01 |
| transcript.pyannote[119].start |
452.61846875 |
| transcript.pyannote[119].end |
453.04034375 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
463.97534375 |
| transcript.pyannote[120].end |
466.16909375 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
466.23659375 |
| transcript.pyannote[121].end |
473.23971875 |
| transcript.pyannote[122].speaker |
SPEAKER_01 |
| transcript.pyannote[122].start |
469.07159375 |
| transcript.pyannote[122].end |
469.72971875 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
473.32409375 |
| transcript.pyannote[123].end |
475.33221875 |
| transcript.pyannote[124].speaker |
SPEAKER_01 |
| transcript.pyannote[124].start |
475.06221875 |
| transcript.pyannote[124].end |
475.31534375 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
475.33221875 |
| transcript.pyannote[125].end |
475.39971875 |
| transcript.pyannote[126].speaker |
SPEAKER_01 |
| transcript.pyannote[126].start |
475.73721875 |
| transcript.pyannote[126].end |
476.32784375 |
| transcript.pyannote[127].speaker |
SPEAKER_01 |
| transcript.pyannote[127].start |
480.15846875 |
| transcript.pyannote[127].end |
480.88409375 |
| transcript.whisperx[0].start |
11.781 |
| transcript.whisperx[0].end |
22.112 |
| transcript.whisperx[0].text |
我的投影片是我的投影片好那我們有請主委來請主委好 |
| transcript.whisperx[1].start |
32.342 |
| transcript.whisperx[1].end |
45.377 |
| transcript.whisperx[1].text |
張委員好主委好我想先請教一個問題就是說我知道在那個國發會這一次在做這個攬財條例的時候其實參考了日本的JSKIP的這個制度來去做一些修正相較於原本的三年明顯縮短申請永居的門檻就是 |
| transcript.whisperx[2].start |
50.763 |
| transcript.whisperx[2].end |
71.691 |
| transcript.whisperx[2].text |
看起來好像是有比較好但我想請教一個問題就是說到底你們認為因為我看這個日本分兩階它有分專業人才跟經營管理人才但我們現在只有一個600萬那這樣子的600萬您覺得為什麼當時不去做設計兩階只設計一階呢這會不會造成未來我們找不到相關的高階管理人才呢您認為 |
| transcript.whisperx[3].start |
73.331 |
| transcript.whisperx[3].end |
90.939 |
| transcript.whisperx[3].text |
日本的經營人才主要是以投資為主我們這次的修法還是以找專業人士為主因為在投資的部分本來就有一些他可以金卡等等不同的方向所以我們當時有參考因為日本兩個一個是我們取中間值600萬我們認為應該這樣可以找到應該相應的技術人才 |
| transcript.whisperx[4].start |
97.506 |
| transcript.whisperx[4].end |
110.091 |
| transcript.whisperx[4].text |
技術人才 但是管理人才呢管理人才其實也是在這次裡面存在的我們就是所謂的經濟 我們在分類裡面經濟的分經濟領域就對了我們認為一個應該就夠因為日本把投資專業人才拉得很高到800萬的收入這個是比較高了一點那我們想增加我們的誘因 |
| transcript.whisperx[5].start |
122.555 |
| transcript.whisperx[5].end |
138.78 |
| transcript.whisperx[5].text |
所以這個是你們可能跟業界評估一下了解一下大概這個薪資的Range大概可能是在600萬的時候是可以招募到高階的專業人才跟管理人才都一起試用就對了對 我們希望是這樣這個是最頂尖的人才 |
| transcript.whisperx[6].start |
139.8 |
| transcript.whisperx[6].end |
167.438 |
| transcript.whisperx[6].text |
最頂尖嗎?600萬有辦法嗎?這個我是蠻質疑的600萬對我們來講是這個特專就外國特定專業人才對至於專業人才就沒有那麼高的標準對所以我只是想確定這個因為看起來如果要找到那種非常高階類似像CEO的可能這個薪水是非常困難的但是如果想要找到那種專業人才或是Director的等級可能是勉強可以啦對不對這個是比較偏這個層級 |
| transcript.whisperx[7].start |
169.175 |
| transcript.whisperx[7].end |
191.995 |
| transcript.whisperx[7].text |
好那這個部分的話我想這個可能我們之後上路之後呢我們也要持續的來去追蹤到底是不是真的有達到這個成效是好我們希望我們也要有相關的一些評估的機制那接下來我想要來針對去年我們其實有個非常紅的案例就是樂樂法例跟直播主氣而昧在拿到救援機卡之後反而無法入境 |
| transcript.whisperx[8].start |
192.495 |
| transcript.whisperx[8].end |
211.5 |
| transcript.whisperx[8].text |
那當時呢他們是當時是因為說移民署因為入出國籍移民法第18條所進行的處分因為他們之前有非法打工的關係所以禁止他們入境可是他們在申請的時候呢我們申請是依據外國人特定專業人才申請就業金卡需求辦法第5條只要違反只有違反入出國 |
| transcript.whisperx[9].start |
212.6 |
| transcript.whisperx[9].end |
238.435 |
| transcript.whisperx[9].text |
及移民法的第24條所以這個是完全沒有管到18條當時是這樣子的狀況那當時呢這些像那個法律就對於一些外國的人才他可能就想說我已經把我的外國的家其他的地方處理好了我就準備舉家搬來台灣結果卻最後變成兩頭空因為這邊也進不來可是那邊可能又處理掉了所以為了避免這樣子的狀況我不曉得說我們到底在現在 |
| transcript.whisperx[10].start |
239.505 |
| transcript.whisperx[10].end |
259.295 |
| transcript.whisperx[10].text |
有沒有去針對於禁止入境的情形先行勾擊呢有沒有做一個改善這個我們做過檢討當時其實電腦系統有註記它被限制入境但是在當時移民署的承辦同仁疏忽了那我們經過這個案子檢討以後移民署現在是修改系統那系統會自動勾擊 |
| transcript.whisperx[11].start |
260.896 |
| transcript.whisperx[11].end |
274.813 |
| transcript.whisperx[11].text |
所以他一旦是被認定以後呢就是人就沒辦法介入他就得一定要停下來所以基本上他應該也不會信到就業金卡嘛對不對不會造成這樣子的誤解嘛對以後這個情形就不會發生了那目前大概是這樣的一個狀態好 |
| transcript.whisperx[12].start |
275.814 |
| transcript.whisperx[12].end |
292.78 |
| transcript.whisperx[12].text |
那我希望就是说在未来我们修法通过之后呢我们对于整个相关的作业流程也要实时的保持一个滚动式检讨的方式才能避免可能会不会还有什么其他我们目前目前还没有看到的一个状况发生这样子那接下来我也想要询问一下就是有关于说 |
| transcript.whisperx[13].start |
293.94 |
| transcript.whisperx[13].end |
320.998 |
| transcript.whisperx[13].text |
我们现在就在金卡持有的领域里面当然经济 科技或是教育的师资其实都非常相对来说是多的可是在体育的领域相对来说是比较少的但是因为接下来我们要成立运动部然后整个国家在备战未来的2028年洛杉矶奥运等等我们可能会有相关的需求因为今天教育体育署没有人来我想请问一下针对于国科 |
| transcript.whisperx[14].start |
322.018 |
| transcript.whisperx[14].end |
347.508 |
| transcript.whisperx[14].text |
跟針對於之前其實在你們的書面報告裡面有提到說未來會將運科中心也可以進行申請就業金卡但是目前我們在你們的網站上面也沒有看到這個部分所以我想了解目前的這個進度是什麼因為其實運科中心也非常需要我們的一些更引用國外的一些不管是國際的專家學者來協助 |
| transcript.whisperx[15].start |
350.229 |
| transcript.whisperx[15].end |
371.301 |
| transcript.whisperx[15].text |
我們台灣的運動的這個科學領域可以發展也可以協助我們教練用更運動科學的方式來訓練所以我想知道因為目前你們之前你們有寫可是現在我都沒有看到任何的進度所以可不可以簡單說明一下現在的制度是由運科中心進行推薦那他推薦的人就我們就會核定就是來審核來核定他的金卡資格 |
| transcript.whisperx[16].start |
372.682 |
| transcript.whisperx[16].end |
387.248 |
| transcript.whisperx[16].text |
我想先確定一件事情是說他到底我們現在有沒有開放給運科中心這個就業金卡目前是有 由他們來推薦他現在是已經因為你們是有申請單位的限制啊他已經是可以申請的單位了嗎確定他可以確定嗎 我想旁邊看起來有點猶豫運動部沒有來 |
| transcript.whisperx[17].start |
397.863 |
| transcript.whisperx[17].end |
424.551 |
| transcript.whisperx[17].text |
就我們了解是這樣要不然我們委員我們再去確認一次跟你報告因為這個是你們之前書面報告寫的啦所以我就想要了解一下因為這個應該相關的進度也會是由你們這邊來去追蹤嘛對不對到底哪些單位配合運動部我想我們在這個領域也會去放寬各種相關的相關的那個條件那包括甚至包括連將來會在國發基金也會在這個領域會也以協助 |
| transcript.whisperx[18].start |
425.632 |
| transcript.whisperx[18].end |
444.005 |
| transcript.whisperx[18].text |
所以我想确认一下所以接下来我们我想了解一下那个作业流程就是说因为接下来运动部会成立那我们会主动的来去跟运动部征询说你的可能你的运产中心你的那个国训中心其实都可以来申请我们会主动来征询他们因为现在没有人我们会主动 |
| transcript.whisperx[19].start |
444.725 |
| transcript.whisperx[19].end |
458.118 |
| transcript.whisperx[19].text |
我們會主動而來去徵詢他們讓他們來去讓他們來做這個也是就業金卡的一個申請單位那我也非常期待就是說未來就是國發會跟運動部未來的運動部一起來合作讓我們的運動產業 |
| transcript.whisperx[20].start |
459.979 |
| transcript.whisperx[20].end |
475.036 |
| transcript.whisperx[20].text |
因為運動產業其實也非常非常仰賴國際的一些不管是管理管理者或是教練等等都非常的仰賴他們來協助台灣的運動科學領域的運動的發展那未來我也非常期待兩個部會的一起合作這樣謝謝好謝謝好謝謝 |