IVOD_ID |
154495 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/154495 |
日期 |
2024-07-03 |
會議資料.會議代碼 |
公聽會-2024062769 |
會議資料.會議代碼:str |
舉行「就業服務法家庭外籍看護聘僱制度探討」公聽會 |
會議資料.屆 |
11 |
會議資料.會期 |
1 |
會議資料.種類 |
公聽會 |
會議資料.委員會代碼[0] |
26 |
會議資料.委員會代碼:str[0] |
社會福利及衛生環境委員會 |
會議資料.標題 |
立法院第11屆第1會期社會福利及衛生環境委員會公聽會(事由:舉行「就業服務法家庭外籍看護聘僱制度探討」公聽會) |
影片種類 |
Clip |
開始時間 |
2024-07-03T11:23:05+08:00 |
結束時間 |
2024-07-03T11:31:37+08:00 |
影片長度 |
00:08:32 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5ad2054f9b7cf4bd0bc0ad9aeb394c33916d49e9c2c49f91e8e3eb0bf88d021cc9aefdf55a054d255ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
王鴻薇 |
委員發言時間 |
11:23:05 - 11:31:37 |
會議時間 |
2024-07-03T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期社會福利及衛生環境委員會公聽會(事由:舉行「就業服務法家庭外籍看護聘僱制度探討」公聽會) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
9.36284375 |
transcript.pyannote[0].end |
28.60034375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
28.78596875 |
transcript.pyannote[1].end |
41.81346875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
42.30284375 |
transcript.pyannote[2].end |
43.26471875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
43.43346875 |
transcript.pyannote[3].end |
45.49221875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
45.59346875 |
transcript.pyannote[4].end |
84.47346875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
84.82784375 |
transcript.pyannote[5].end |
90.02534375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
90.39659375 |
transcript.pyannote[6].end |
104.72346875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
105.43221875 |
transcript.pyannote[7].end |
111.79409375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
112.19909375 |
transcript.pyannote[8].end |
114.24096875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
114.83159375 |
transcript.pyannote[9].end |
116.29971875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
116.78909375 |
transcript.pyannote[10].end |
120.23159375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
121.15971875 |
transcript.pyannote[11].end |
121.61534375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
121.83471875 |
transcript.pyannote[12].end |
122.56034375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
123.23534375 |
transcript.pyannote[13].end |
125.51346875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
125.78346875 |
transcript.pyannote[14].end |
130.32284375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
130.42409375 |
transcript.pyannote[15].end |
140.34659375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
140.85284375 |
transcript.pyannote[16].end |
150.74159375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
151.26471875 |
transcript.pyannote[17].end |
152.88471875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
153.30659375 |
transcript.pyannote[18].end |
155.38221875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
155.97284375 |
transcript.pyannote[19].end |
162.40221875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
162.73971875 |
transcript.pyannote[20].end |
163.81971875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
164.19096875 |
transcript.pyannote[21].end |
167.05971875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
167.53221875 |
transcript.pyannote[22].end |
172.86471875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
174.38346875 |
transcript.pyannote[23].end |
175.37909375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
176.25659375 |
transcript.pyannote[24].end |
177.11721875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
177.25221875 |
transcript.pyannote[25].end |
179.12534375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
179.68221875 |
transcript.pyannote[26].end |
181.36971875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
182.19659375 |
transcript.pyannote[27].end |
184.42409375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
184.98096875 |
transcript.pyannote[28].end |
185.45346875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
185.94284375 |
transcript.pyannote[29].end |
188.17034375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
188.81159375 |
transcript.pyannote[30].end |
190.97159375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
191.25846875 |
transcript.pyannote[31].end |
194.76846875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
195.25784375 |
transcript.pyannote[32].end |
198.07596875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
198.76784375 |
transcript.pyannote[33].end |
213.49971875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
214.00596875 |
transcript.pyannote[34].end |
215.38971875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
215.98034375 |
transcript.pyannote[35].end |
217.11096875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
217.44846875 |
transcript.pyannote[36].end |
218.41034375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
218.64659375 |
transcript.pyannote[37].end |
219.62534375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
220.18221875 |
transcript.pyannote[38].end |
222.25784375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
222.52784375 |
transcript.pyannote[39].end |
226.45971875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
226.56096875 |
transcript.pyannote[40].end |
227.86034375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
228.65346875 |
transcript.pyannote[41].end |
230.07096875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
230.45909375 |
transcript.pyannote[42].end |
232.72034375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
233.29409375 |
transcript.pyannote[43].end |
234.91409375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
235.01534375 |
transcript.pyannote[44].end |
236.66909375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
237.15846875 |
transcript.pyannote[45].end |
241.14096875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
241.78221875 |
transcript.pyannote[46].end |
248.88659375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
250.28721875 |
transcript.pyannote[47].end |
253.37534375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
254.16846875 |
transcript.pyannote[48].end |
256.93596875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
257.71221875 |
transcript.pyannote[49].end |
262.35284375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
263.31471875 |
transcript.pyannote[50].end |
264.02346875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
264.34409375 |
transcript.pyannote[51].end |
268.05659375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
268.37721875 |
transcript.pyannote[52].end |
269.81159375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
270.94221875 |
transcript.pyannote[53].end |
273.35534375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
274.19909375 |
transcript.pyannote[54].end |
276.76409375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
277.77659375 |
transcript.pyannote[55].end |
278.56971875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
279.76784375 |
transcript.pyannote[56].end |
281.82659375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
282.80534375 |
transcript.pyannote[57].end |
284.02034375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
284.79659375 |
transcript.pyannote[58].end |
286.63596875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
286.80471875 |
transcript.pyannote[59].end |
291.25971875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
291.96846875 |
transcript.pyannote[60].end |
293.35221875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
294.17909375 |
transcript.pyannote[61].end |
296.18721875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
297.40221875 |
transcript.pyannote[62].end |
299.74784375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
300.25409375 |
transcript.pyannote[63].end |
301.45221875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
301.92471875 |
transcript.pyannote[64].end |
302.68409375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
303.25784375 |
transcript.pyannote[65].end |
306.93659375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
308.26971875 |
transcript.pyannote[66].end |
312.37034375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
312.89346875 |
transcript.pyannote[67].end |
314.69909375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
316.04909375 |
transcript.pyannote[68].end |
317.43284375 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
318.04034375 |
transcript.pyannote[69].end |
319.10346875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
319.35659375 |
transcript.pyannote[70].end |
322.98471875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
323.76096875 |
transcript.pyannote[71].end |
325.92096875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
326.49471875 |
transcript.pyannote[72].end |
327.42284375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
327.94596875 |
transcript.pyannote[73].end |
329.56596875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
329.97096875 |
transcript.pyannote[74].end |
335.16846875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
336.04596875 |
transcript.pyannote[75].end |
337.53096875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
338.45909375 |
transcript.pyannote[76].end |
341.54721875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
342.40784375 |
transcript.pyannote[77].end |
343.50471875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
343.75784375 |
transcript.pyannote[78].end |
344.93909375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
345.42846875 |
transcript.pyannote[79].end |
347.41971875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
348.02721875 |
transcript.pyannote[80].end |
349.24221875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
350.05221875 |
transcript.pyannote[81].end |
351.04784375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
351.23346875 |
transcript.pyannote[82].end |
353.03909375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
353.07284375 |
transcript.pyannote[83].end |
354.55784375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
355.14846875 |
transcript.pyannote[84].end |
356.85284375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
358.00034375 |
transcript.pyannote[85].end |
358.57409375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
359.48534375 |
transcript.pyannote[86].end |
360.44721875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
360.53159375 |
transcript.pyannote[87].end |
361.94909375 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
362.30346875 |
transcript.pyannote[88].end |
366.84284375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
367.19721875 |
transcript.pyannote[89].end |
368.34471875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
368.88471875 |
transcript.pyannote[90].end |
369.82971875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
370.04909375 |
transcript.pyannote[91].end |
371.51721875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
372.59721875 |
transcript.pyannote[92].end |
373.27221875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
373.44096875 |
transcript.pyannote[93].end |
374.40284375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
374.60534375 |
transcript.pyannote[94].end |
376.20846875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
377.32221875 |
transcript.pyannote[95].end |
378.30096875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
378.87471875 |
transcript.pyannote[96].end |
381.06846875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
381.84471875 |
transcript.pyannote[97].end |
384.98346875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
386.19846875 |
transcript.pyannote[98].end |
387.04221875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
388.54409375 |
transcript.pyannote[99].end |
389.57346875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
390.68721875 |
transcript.pyannote[100].end |
394.43346875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
395.05784375 |
transcript.pyannote[101].end |
398.65221875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
399.05721875 |
transcript.pyannote[102].end |
400.30596875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
401.16659375 |
transcript.pyannote[103].end |
402.36471875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
403.34346875 |
transcript.pyannote[104].end |
404.03534375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
404.65971875 |
transcript.pyannote[105].end |
411.10596875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
411.69659375 |
transcript.pyannote[106].end |
413.55284375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
414.39659375 |
transcript.pyannote[107].end |
415.42596875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
415.93221875 |
transcript.pyannote[108].end |
422.58096875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
423.10409375 |
transcript.pyannote[109].end |
427.84596875 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
428.45346875 |
transcript.pyannote[110].end |
429.09471875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
429.66846875 |
transcript.pyannote[111].end |
431.89596875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
432.30096875 |
transcript.pyannote[112].end |
433.66784375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
434.49471875 |
transcript.pyannote[113].end |
437.26221875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
437.85284375 |
transcript.pyannote[114].end |
440.41784375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
440.70471875 |
transcript.pyannote[115].end |
442.35846875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
443.25284375 |
transcript.pyannote[116].end |
445.27784375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
446.20596875 |
transcript.pyannote[117].end |
448.26471875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
448.77096875 |
transcript.pyannote[118].end |
452.78721875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
453.49596875 |
transcript.pyannote[119].end |
455.03159375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
456.85409375 |
transcript.pyannote[120].end |
458.86221875 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
459.23346875 |
transcript.pyannote[121].end |
464.95409375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
466.10159375 |
transcript.pyannote[122].end |
495.26159375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
495.59909375 |
transcript.pyannote[123].end |
507.90096875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
508.39034375 |
transcript.pyannote[124].end |
511.24221875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
512.64284375 |
transcript.pyannote[125].end |
512.96346875 |
transcript.whisperx[0].start |
10.101 |
transcript.whisperx[0].end |
24.093 |
transcript.whisperx[0].text |
謝謝主席還有各位與會代表那今天我們召開公聽會其實是源自於我們現在立法院有好幾個版本是針對這個八四良表的一個修正希望能夠在80歲以上能夠免這個八四良表 |
transcript.whisperx[1].start |
28.917 |
transcript.whisperx[1].end |
29.057 |
transcript.whisperx[1].text |
李慧琼議員 |
transcript.whisperx[2].start |
45.862 |
transcript.whisperx[2].end |
65.482 |
transcript.whisperx[2].text |
那麼家庭看護他們的申請之困難其實已經成為臺灣社會的一個非常非常長期的民怨那這也就是為什麼在去年的時候大家都知道總統大選的選舉那麼侯友宜他是其中候選人他提出來 |
transcript.whisperx[3].start |
66.262 |
transcript.whisperx[3].end |
66.502 |
transcript.whisperx[3].text |
王鴻薇議員 |
transcript.whisperx[4].start |
84.887 |
transcript.whisperx[4].end |
87.851 |
transcript.whisperx[4].text |
但是即使是如此這個問題就解決了嗎當然沒有解決那麼事實上我們今天看到我們在民間有多少如果我們今天將心比心我們設身處地大家可能要自問能不能夠去接受這樣的一個狀況 |
transcript.whisperx[5].start |
105.472 |
transcript.whisperx[5].end |
106.413 |
transcript.whisperx[5].text |
有的有90歲的哥哥帶著這個80歲的弟弟去申請80兩表拜託醫生能夠開給他 |
transcript.whisperx[6].start |
121.221 |
transcript.whisperx[6].end |
121.982 |
transcript.whisperx[6].text |
王鴻薇議員 |
transcript.whisperx[7].start |
151.321 |
transcript.whisperx[7].end |
151.701 |
transcript.whisperx[7].text |
我特別要講 |
transcript.whisperx[8].start |
176.311 |
transcript.whisperx[8].end |
197.691 |
transcript.whisperx[8].text |
我們的外籍家庭幫傭的申請之困難我們可能很多專家寫者他可能有很多的命向要照顧可是今天以我們的申請家庭幫傭的這些標準最近還有一個年輕人跟我講 |
transcript.whisperx[9].start |
198.817 |
transcript.whisperx[9].end |
212.764 |
transcript.whisperx[9].text |
他說他的太太馬上要生三胎了我說很好啊我覺得在這個少子化的過程裡面我只到覺得年輕人願意生小孩願意生到第二個願意生到第三個我都覺得政府應該頒獎狀給他才對然後他就跟我抱怨他說因為呢即便是他的太太即將要生小孩可是因為好像他的這個老大已經到6歲了 |
transcript.whisperx[10].start |
228.683 |
transcript.whisperx[10].end |
229.003 |
transcript.whisperx[10].text |
王鴻薇議員王鴻薇議員 |
transcript.whisperx[11].start |
250.339 |
transcript.whisperx[11].end |
269.755 |
transcript.whisperx[11].text |
要怎麼樣的方式我們才能夠申請到呢你可能要有兩個兩歲以下的子女你要去照顧一個兩個兩歲以下子女應該很辛苦了吧不行你還要再加上一個78歲以上的長者你才能夠申請到然後我另外一個案例那你要同時有一歲三歲五歲可以了吧 |
transcript.whisperx[12].start |
280.384 |
transcript.whisperx[12].end |
305.99 |
transcript.whisperx[12].text |
對不要說對一個媽媽了父母加起來有時候有公公婆婆來幫一歲三歲五歲是不是很辛苦想也知道很辛苦我自己有三個小孩我還好我的三個小孩都長大了我看到這個我都覺得他們很辛苦你能申請到嗎不行還是沒有辦法達到你還要加一個79歲以上長者 |
transcript.whisperx[13].start |
308.305 |
transcript.whisperx[13].end |
334.211 |
transcript.whisperx[13].text |
也就是說如果你家裡有長者要同時你有小孩的話你看這樣的狀況你才能夠申請到無怪乎現在我們有這麼多的這個年輕的夫婦不願生小孩他怎麼辦呢剛才也有特別提到說如果啊我們這樣子的開放的話可能對於健康的老人會被排斥什麼叫做健康的老人 |
transcript.whisperx[14].start |
338.516 |
transcript.whisperx[14].end |
338.836 |
transcript.whisperx[14].text |
王鴻薇議員王鴻薇議員 |
transcript.whisperx[15].start |
359.52 |
transcript.whisperx[15].end |
384.802 |
transcript.whisperx[15].text |
你放心讓他在家裡你放心如果你家裡是沒有電梯的對不起很多都沒有電梯對不對他隨時隨地上下樓梯他就跌倒了他可能到超市他突然走不出超市來這樣的狀況請問一下你作為人子女你覺得你該怎麼照顧他你放心讓他一個人嗎你該怎麼辦 |
transcript.whisperx[16].start |
388.938 |
transcript.whisperx[16].end |
400.324 |
transcript.whisperx[16].text |
辭職在家嗎我真的有很多朋友為了要照顧他的父母最後我都覺得他好優秀但他沒有辦法他說沒有辦法這樣子的民眾他該怎麼辦所以當你講說健康老人會排斥有時候我在想為什麼八十兩秒這麼困難好 我自己作為一個女性 |
transcript.whisperx[17].start |
414.454 |
transcript.whisperx[17].end |
442.192 |
transcript.whisperx[17].text |
我要講的是我們作為女性在臺灣長期以來的問題就是我們的婦女的勞動參與率的偏低而且隨著年齡尤其30歲以後你的勞動參與率就漸漸下降為什麼你要回復到如果你有小孩你就可能要照顧幼我剛剛講嗎你生了三個我覺得這個國家真的應該感謝你用什麼樣方式來感謝你 |
transcript.whisperx[18].start |
443.291 |
transcript.whisperx[18].end |
443.411 |
transcript.whisperx[18].text |
王鴻薇議員 |
transcript.whisperx[19].start |
466.681 |
transcript.whisperx[19].end |
473.084 |
transcript.whisperx[19].text |
幫這些我剛才所講的這些狀況能夠幫忙想一想任何一個人自己設身處地是同樣的狀況的時候我們該怎麼辦所以這也就是為什麼我們要提出這個八十兩表的修正事實上我個人我覺得不止八十歲以上的八十兩表修正甚至幼子女的也一定要放寬啊不然我們憑什麼去跟年輕的夫婦講說請你們生小孩請你們生小孩我怎麼生啊 |
transcript.whisperx[20].start |
495.856 |
transcript.whisperx[20].end |
495.896 |
transcript.whisperx[20].text |
王鴻薇 |