IVOD_ID |
150503 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/150503 |
日期 |
2024-03-27 |
會議資料.會議代碼 |
委員會-11-1-36-9 |
會議資料.會議代碼:str |
第11屆第1會期司法及法制委員會第9次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
1 |
會議資料.會次 |
9 |
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1會期司法及法制委員會第9次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-03-27T11:46:01+08:00 |
結束時間 |
2024-03-27T11:52:59+08:00 |
影片長度 |
00:06:58 |
支援功能[0] |
ai-transcript |
支援功能[1] |
gazette |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/8fc09d97f3151fdfefd524cef45293a56e9ac27f41e17f3cf8ba9b0039caa7a6cc0bfe413a39fb5b5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
鄭天財Sra Kacaw |
委員發言時間 |
11:46:01 - 11:52:59 |
會議時間 |
2024-03-27T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期司法及法制委員會第9次全體委員會議(事由:一、邀請行政院人事行政總處人事長及行政院相關機關(含事業單位)列席就「政府機關推動人事服務數位轉型」進行專題報告,並備質詢。
二、審查及處理113年度中央政府總預算關於行政院人事行政總處及所屬主管預算凍結項目共8案。
【其中7案如經院會復議,則不予審查、處理】) |
gazette.lineno |
924 |
gazette.blocks[0][0] |
鄭天財Sra Kacaw委員:(11時46分)主席、各位委員。有請人事長。 |
gazette.blocks[1][0] |
蘇人事長俊榮:委員早。 |
gazette.blocks[2][0] |
鄭天財Sra Kacaw委員:人事長好、辛苦了。我已經不只一次提了,蔡總統的原住民族就業政策,現在已經快八年了,要保障上萬「新的」工作機會、開創永續的原住民族經濟發展。政府要負擔保障原住民就業之責,人事行政總處就是其中之一。我們看公務人員特種考試,公務人員特種考試很久很久了,已經幾十年了,原民特考這幾年逐年減少,錄取人數更是逐年減少。如果相較於107年當時的一個考試規則,尤其是民國95年公務人員原民特考的附表十,這個附表現在已經沒有了。為什麼要特別要把這個列出來?你看看,當時有列在這個表裡面會進用原住民特考的有司法院、內政部、教育部、交通部、法務部、財政部、經濟部、外交部、衛生福利部、農委會、勞動部、僑委會、人事行政總處、主計總處、海巡署、退輔會、文化部還有各縣市政府,所以當時中央各部會都會進用。之前我質詢過,人事行政總處有一年有進用,後來又沒有進用,這幾年有進用嗎? |
gazette.blocks[3][0] |
蘇人事長俊榮:有,我們現在有從原民會挖了一個非常優秀的原住民同仁過來。 |
gazette.blocks[4][0] |
鄭天財Sra Kacaw委員:我講的是特考,不是…… |
gazette.blocks[5][0] |
蘇人事長俊榮:沒有。 |
gazette.blocks[6][0] |
鄭天財Sra Kacaw委員:對啊,之前有列,所以這個部分是這樣。就以原民會的人事室來講,過去人事室主任是原住民,而且是原住民族裡面人口最少的邵族去擔任主任,都是在省府時代透過原住民行政特考所培養出來的,現在他退休很多年了。 |
gazette.blocks[7][0] |
蘇人事長俊榮:我跟委員補充一下,人總今年沒有提原住民的特考,可是我們整個人事體系的總共提了三位。 |
gazette.blocks[8][0] |
鄭天財Sra Kacaw委員:這個一條鞭,三位太少了,所以這個部分…… |
gazette.blocks[9][0] |
蘇人事長俊榮:會再加強,會再加強。 |
gazette.blocks[10][0] |
鄭天財Sra Kacaw委員:不只是要這樣,因為所有各部會提報有兩個管道,以中央部會來講都是人事單位。人事室、人事處在負責的,都是一條鞭的。它要提報到高考、普考還是要提報到原住民族行政特考,就是人事單位在負責,所以這個部分要去協調。我為什麼要特別列?就是這幾年各部會都不提,你們想想看,當時連外交部都提、僑委會都提,我那時候當副主委,我就拜託人事行政總處去指定、指示各部會的人事處。因為你們都是一條鞭,所以各部會一定要主動才有辦法去增加或是維持,但是目前是遞減,這個部分人事長可以請同仁來協調各部會的人事處嗎? |
gazette.blocks[11][0] |
蘇人事長俊榮:有,我會積極努力來做,除了提報缺額以外,委員很在乎的原住民同仁在人事機關的這一種升遷的路徑,事實上目前臺東跟宜蘭的副處長也都是具原住民身分。 |
gazette.blocks[12][0] |
鄭天財Sra Kacaw委員:要繼續努力。好,接下來是原住民族博物館,原住民族已經等待超過八年以上了。因為時間的關係我就不一個一個來談,就看最後一個部分,有一個公文就是說,原民會有函報給國發會有關原住民族博物館的一個籌備處的文,你們到現在還沒有同意,是不是可以請人事行政總處這邊來支持?就是原住民族博物館的籌備處。 |
gazette.blocks[13][0] |
蘇人事長俊榮:在今年的2月2號的時候監察院有約詢,我們有請原民會提供一些相關的資料,會盡力來支持。 |
gazette.blocks[14][0] |
鄭天財Sra Kacaw委員:因為111年的時候,原民會有答復說他們有提報國立原住民族博物館籌備處的暫行組織規程給行政院,行政院交給人事行政總處,這個部分要積極的來處理。 |
gazette.blocks[15][0] |
蘇人事長俊榮:好,謝謝。 |
gazette.blocks[16][0] |
鄭天財Sra Kacaw委員:主動請原民會再提報一次,好不好? |
gazette.blocks[17][0] |
蘇人事長俊榮:好,好,謝謝。 |
gazette.blocks[18][0] |
主席(吳委員宗憲代):好,謝謝。接下來請游顥委員、游顥委員、游顥委員不在。 |
gazette.blocks[18][1] |
請蘇清泉委員、蘇清泉委員、蘇清泉委員不在。 |
gazette.blocks[18][2] |
請楊瓊瓔委員、楊瓊瓔委員、楊瓊瓔委員不在。 |
gazette.blocks[18][3] |
請鄭正鈐委員、鄭正鈐委員、鄭正鈐委員不在。 |
gazette.blocks[18][4] |
請林德福委員、林德福委員、林德福委員不在。 |
gazette.blocks[18][5] |
目前所有登記發言委員均已發言完畢,詢答結束,委員質詢時若要求提供相關資料或以書面答復者,請相關機關儘速送交個別委員及本會。現在休息,休息後我們再繼續處理預算解凍案。 |
gazette.blocks[18][6] |
休息(11時54分) |
gazette.blocks[18][7] |
繼續開會(11時57分) |
gazette.agenda.page_end |
210 |
gazette.agenda.meet_id |
委員會-11-1-36-9 |
gazette.agenda.speakers[0] |
鍾佳濱 |
gazette.agenda.speakers[1] |
黃國昌 |
gazette.agenda.speakers[2] |
沈發惠 |
gazette.agenda.speakers[3] |
陳俊宇 |
gazette.agenda.speakers[4] |
林思銘 |
gazette.agenda.speakers[5] |
羅智強 |
gazette.agenda.speakers[6] |
莊瑞雄 |
gazette.agenda.speakers[7] |
吳思瑤 |
gazette.agenda.speakers[8] |
翁曉玲 |
gazette.agenda.speakers[9] |
謝龍介 |
gazette.agenda.speakers[10] |
傅崐萁 |
gazette.agenda.speakers[11] |
吳宗憲 |
gazette.agenda.speakers[12] |
鄭天財Sra Kacaw |
gazette.agenda.page_start |
151 |
gazette.agenda.meetingDate[0] |
2024-03-27 |
gazette.agenda.gazette_id |
1132001 |
gazette.agenda.agenda_lcidc_ids[0] |
1132001_00008 |
gazette.agenda.meet_name |
立法院第11屆第1會期司法及法制委員會第9次全體委員會議紀錄 |
gazette.agenda.content |
一、邀請行政院人事行政總處人事長及行政院相關機關(含事業單位)列席就「政府機關推動人
事服務數位轉型」進行專題報告,並備質詢;二、審查及處理113年度中央政府總預算關於行政
院人事行政總處及所屬主管預算凍結項目共7案 |
gazette.agenda.agenda_id |
1132001_00017 |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
6.76409375 |
transcript.pyannote[0].end |
8.99159375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
12.56909375 |
transcript.pyannote[1].end |
15.58971875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
19.52159375 |
transcript.pyannote[2].end |
22.23846875 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
22.94721875 |
transcript.pyannote[3].end |
26.60909375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
27.26721875 |
transcript.pyannote[4].end |
31.70534375 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
32.21159375 |
transcript.pyannote[5].end |
33.73034375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
34.47284375 |
transcript.pyannote[6].end |
40.32846875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
40.95284375 |
transcript.pyannote[7].end |
45.72846875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
46.21784375 |
transcript.pyannote[8].end |
50.30159375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
50.92596875 |
transcript.pyannote[9].end |
53.86221875 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
54.35159375 |
transcript.pyannote[10].end |
60.98346875 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
61.87784375 |
transcript.pyannote[11].end |
62.82284375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
63.00846875 |
transcript.pyannote[12].end |
63.02534375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
63.05909375 |
transcript.pyannote[13].end |
64.10534375 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
64.99971875 |
transcript.pyannote[14].end |
65.74221875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
66.94034375 |
transcript.pyannote[15].end |
68.40846875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
69.18471875 |
transcript.pyannote[16].end |
69.60659375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
70.02846875 |
transcript.pyannote[17].end |
71.53034375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
72.49221875 |
transcript.pyannote[18].end |
74.16284375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
76.45784375 |
transcript.pyannote[19].end |
78.83721875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
79.64721875 |
transcript.pyannote[20].end |
80.99721875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
82.00971875 |
transcript.pyannote[21].end |
85.40159375 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
86.07659375 |
transcript.pyannote[22].end |
86.51534375 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
87.12284375 |
transcript.pyannote[23].end |
89.53596875 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
90.09284375 |
transcript.pyannote[24].end |
91.57784375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
92.69159375 |
transcript.pyannote[25].end |
93.82221875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
93.92346875 |
transcript.pyannote[26].end |
95.29034375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
96.26909375 |
transcript.pyannote[27].end |
97.28159375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
97.53471875 |
transcript.pyannote[28].end |
99.17159375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
100.09971875 |
transcript.pyannote[29].end |
102.54659375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
102.69846875 |
transcript.pyannote[30].end |
103.52534375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
104.89221875 |
transcript.pyannote[31].end |
106.02284375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
106.76534375 |
transcript.pyannote[32].end |
108.70596875 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
109.43159375 |
transcript.pyannote[33].end |
110.41034375 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
110.59596875 |
transcript.pyannote[34].end |
111.47346875 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
112.13159375 |
transcript.pyannote[35].end |
113.16096875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
114.52784375 |
transcript.pyannote[36].end |
120.43409375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
121.22721875 |
transcript.pyannote[37].end |
126.23909375 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
126.98159375 |
transcript.pyannote[38].end |
128.73659375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
130.10346875 |
transcript.pyannote[39].end |
131.41971875 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
131.67284375 |
transcript.pyannote[40].end |
133.37721875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
133.98471875 |
transcript.pyannote[41].end |
135.03096875 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
136.16159375 |
transcript.pyannote[42].end |
137.14034375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
137.71409375 |
transcript.pyannote[43].end |
139.03034375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
139.97534375 |
transcript.pyannote[44].end |
140.97096875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
142.00034375 |
transcript.pyannote[45].end |
143.55284375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
144.10971875 |
transcript.pyannote[46].end |
145.71284375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
146.15159375 |
transcript.pyannote[47].end |
147.28221875 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
147.75471875 |
transcript.pyannote[48].end |
148.96971875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
149.57721875 |
transcript.pyannote[49].end |
150.89346875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
151.90596875 |
transcript.pyannote[50].end |
152.53034375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
152.69909375 |
transcript.pyannote[51].end |
160.78221875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
160.47846875 |
transcript.pyannote[52].end |
160.83284375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
160.83284375 |
transcript.pyannote[53].end |
160.91721875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
161.49096875 |
transcript.pyannote[54].end |
162.73971875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
163.75221875 |
transcript.pyannote[55].end |
163.97159375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
163.97159375 |
transcript.pyannote[56].end |
164.14034375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
164.14034375 |
transcript.pyannote[57].end |
164.17409375 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
164.17409375 |
transcript.pyannote[58].end |
164.20784375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
164.20784375 |
transcript.pyannote[59].end |
164.30909375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
164.30909375 |
transcript.pyannote[60].end |
165.57471875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
166.33409375 |
transcript.pyannote[61].end |
166.50284375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
166.50284375 |
transcript.pyannote[62].end |
167.65034375 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
168.13971875 |
transcript.pyannote[63].end |
169.67534375 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
170.13096875 |
transcript.pyannote[64].end |
171.64971875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
172.81409375 |
transcript.pyannote[65].end |
174.02909375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
174.18096875 |
transcript.pyannote[66].end |
175.58159375 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
176.67846875 |
transcript.pyannote[67].end |
177.96096875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
178.33221875 |
transcript.pyannote[68].end |
180.03659375 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
180.34034375 |
transcript.pyannote[69].end |
181.15034375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
181.50471875 |
transcript.pyannote[70].end |
182.21346875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
182.95596875 |
transcript.pyannote[71].end |
183.61409375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
183.98534375 |
transcript.pyannote[72].end |
186.46596875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
187.00596875 |
transcript.pyannote[73].end |
189.13221875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
189.80721875 |
transcript.pyannote[74].end |
194.71784375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
195.02159375 |
transcript.pyannote[75].end |
196.38846875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
196.38846875 |
transcript.pyannote[76].end |
196.54034375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
196.54034375 |
transcript.pyannote[77].end |
198.02534375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
198.02534375 |
transcript.pyannote[78].end |
211.76159375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
212.41971875 |
transcript.pyannote[79].end |
215.96346875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
215.96346875 |
transcript.pyannote[80].end |
216.16596875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
216.16596875 |
transcript.pyannote[81].end |
216.19971875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
216.19971875 |
transcript.pyannote[82].end |
216.21659375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
216.52034375 |
transcript.pyannote[83].end |
217.66784375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
218.46096875 |
transcript.pyannote[84].end |
218.98409375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
219.79409375 |
transcript.pyannote[85].end |
221.11034375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
221.90346875 |
transcript.pyannote[86].end |
222.81471875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
224.13096875 |
transcript.pyannote[87].end |
225.54846875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
226.47659375 |
transcript.pyannote[88].end |
227.69159375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
228.43409375 |
transcript.pyannote[89].end |
229.17659375 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
229.91909375 |
transcript.pyannote[90].end |
231.06659375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
231.53909375 |
transcript.pyannote[91].end |
232.95659375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
232.97346875 |
transcript.pyannote[92].end |
233.02409375 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
233.29409375 |
transcript.pyannote[93].end |
235.67346875 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
236.56784375 |
transcript.pyannote[94].end |
237.63096875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
238.17096875 |
transcript.pyannote[95].end |
239.31846875 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
240.24659375 |
transcript.pyannote[96].end |
241.37721875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
241.93409375 |
transcript.pyannote[97].end |
243.50346875 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
244.46534375 |
transcript.pyannote[98].end |
246.25409375 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
246.74346875 |
transcript.pyannote[99].end |
248.27909375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
248.46471875 |
transcript.pyannote[100].end |
250.28721875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
250.43909375 |
transcript.pyannote[101].end |
252.37971875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
253.32471875 |
transcript.pyannote[102].end |
254.10096875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
254.18534375 |
transcript.pyannote[103].end |
255.26534375 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
255.99096875 |
transcript.pyannote[104].end |
257.37471875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
258.48846875 |
transcript.pyannote[105].end |
259.80471875 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
261.52596875 |
transcript.pyannote[106].end |
263.63534375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
264.12471875 |
transcript.pyannote[107].end |
267.01034375 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
267.58409375 |
transcript.pyannote[108].end |
270.26721875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
271.49909375 |
transcript.pyannote[109].end |
275.49846875 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
275.93721875 |
transcript.pyannote[110].end |
277.54034375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
277.69221875 |
transcript.pyannote[111].end |
280.27409375 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
280.74659375 |
transcript.pyannote[112].end |
281.99534375 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
282.97409375 |
transcript.pyannote[113].end |
283.68284375 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
283.88534375 |
transcript.pyannote[114].end |
286.88909375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
287.49659375 |
transcript.pyannote[115].end |
289.57221875 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
290.17971875 |
transcript.pyannote[116].end |
292.03596875 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
292.64346875 |
transcript.pyannote[117].end |
293.43659375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
293.43659375 |
transcript.pyannote[118].end |
293.95971875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
293.95971875 |
transcript.pyannote[119].end |
293.99346875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
294.36471875 |
transcript.pyannote[120].end |
318.83346875 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
318.63096875 |
transcript.pyannote[121].end |
319.77846875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
320.45346875 |
transcript.pyannote[122].end |
322.52909375 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
323.17034375 |
transcript.pyannote[123].end |
324.58784375 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
325.60034375 |
transcript.pyannote[124].end |
329.39721875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
329.90346875 |
transcript.pyannote[125].end |
336.97409375 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
338.49284375 |
transcript.pyannote[126].end |
338.99909375 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
341.59784375 |
transcript.pyannote[127].end |
341.86784375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
342.57659375 |
transcript.pyannote[128].end |
342.69471875 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
343.75784375 |
transcript.pyannote[129].end |
345.39471875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
346.17096875 |
transcript.pyannote[130].end |
347.75721875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
348.44909375 |
transcript.pyannote[131].end |
351.60471875 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
352.17846875 |
transcript.pyannote[132].end |
353.24159375 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
353.69721875 |
transcript.pyannote[133].end |
356.66721875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
357.35909375 |
transcript.pyannote[134].end |
363.53534375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
364.22721875 |
transcript.pyannote[135].end |
367.29846875 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
368.04096875 |
transcript.pyannote[136].end |
370.82534375 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
375.87096875 |
transcript.pyannote[137].end |
375.88784375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
375.88784375 |
transcript.pyannote[138].end |
376.44471875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
376.73159375 |
transcript.pyannote[139].end |
377.37284375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
377.57534375 |
transcript.pyannote[140].end |
389.10096875 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
390.40034375 |
transcript.pyannote[141].end |
392.29034375 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
392.69534375 |
transcript.pyannote[142].end |
394.34909375 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
394.66971875 |
transcript.pyannote[143].end |
396.37409375 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
397.11659375 |
transcript.pyannote[144].end |
397.97721875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
398.31471875 |
transcript.pyannote[145].end |
403.32659375 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
403.64721875 |
transcript.pyannote[146].end |
407.25846875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
408.06846875 |
transcript.pyannote[147].end |
415.30784375 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
412.48971875 |
transcript.pyannote[148].end |
413.06346875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
414.41346875 |
transcript.pyannote[149].end |
414.91971875 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
414.97034375 |
transcript.pyannote[150].end |
415.27409375 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
415.30784375 |
transcript.pyannote[151].end |
416.18534375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
416.18534375 |
transcript.pyannote[152].end |
417.24846875 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
416.25284375 |
transcript.pyannote[153].end |
416.75909375 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
417.58596875 |
transcript.pyannote[154].end |
418.07534375 |
transcript.whisperx[0].start |
6.766 |
transcript.whisperx[0].end |
33.432 |
transcript.whisperx[0].text |
好,我們請政委員天才主席,各位委員,有請人事長委員長,人事長好,辛苦了我看這個,我已經不只一次提了這個蔡總統的一個原住民族就業的政策現在已經這個快8年了 |
transcript.whisperx[1].start |
34.52 |
transcript.whisperx[1].end |
60.648 |
transcript.whisperx[1].text |
要保障上萬新的工作機會開創永續的原住民族經濟發展政府要負擔保障原住民就業之責人事行政總處其中之一公務令特種考試公務令特種考試很久很久了已經幾十年了 |
transcript.whisperx[2].start |
61.926 |
transcript.whisperx[2].end |
80.757 |
transcript.whisperx[2].text |
我們看這個嚴明特考這幾年了逐年減少這個入企人數更是逐年減少如果我們去相較於這個107年107年這是一個當時的一個考試規則好尤其是民國95年民國95年的 |
transcript.whisperx[3].start |
93.105 |
transcript.whisperx[3].end |
120.214 |
transcript.whisperx[3].text |
公務人員移民特考的副表10這個副表現在已經沒有了當時為什麼要特別要把這個列出來的你看看當時有列在這個表裡面的有司法院他會禁用員住民特考內政部、教育部、交通部、法務部、財政部、經濟部、外交部、衛生福利部 |
transcript.whisperx[4].start |
121.277 |
transcript.whisperx[4].end |
140.667 |
transcript.whisperx[4].text |
啊、農委會、勞動部、僑委會、人事行政總處、主計總處、海巡署、退府會、文化部、各縣市政府。所以當時啊、中央各部會都會禁用 |
transcript.whisperx[5].start |
142.305 |
transcript.whisperx[5].end |
171.088 |
transcript.whisperx[5].text |
這個之前我質詢過人事行政總處有一年有禁用後來又沒有禁用這幾年有禁用嗎?有有我們現在有有從人民會挖了一個非常優秀的原住民同仁過來不是我講的是特考不是不是沒有對啊之前有喔有列喔所以這個部分是這樣 |
transcript.whisperx[6].start |
172.864 |
transcript.whisperx[6].end |
181.958 |
transcript.whisperx[6].text |
由我們就以這個園民會的人事室來講啊過去人事室主任是原住民哦而且是 |
transcript.whisperx[7].start |
183.064 |
transcript.whisperx[7].end |
211.283 |
transcript.whisperx[7].text |
超原住民族裡面人口最少的少族去擔任主任喔那個都是在神父時代啊所培養的透過原住民行政特考所培養出來的現在他退休很多年了我跟委員補充一下齁人總今年沒有提原住民的特考可是我們整個人事體系的總共提了3位3位?對有提3位這個一條邊3位是太少了齁 |
transcript.whisperx[8].start |
212.672 |
transcript.whisperx[8].end |
239.077 |
transcript.whisperx[8].text |
所以這個部會在加獎啦會在加獎對不只是要這樣因為所有各部會要提報有兩個管道嘛以中央部會來講一個你要都是人事單位啊人事室人事處在負責的嘛都是你一條邊的他要提報到高考補考 |
transcript.whisperx[9].start |
240.445 |
transcript.whisperx[9].end |
259.46 |
transcript.whisperx[9].text |
還是要提報到嚴重民主行政特考就是人事單位在負責所以這個部分要去協調為什麼要特別列這個就是這幾年各部會都不提當時很 你們想想看連外交部都提喲僑委會都提喲 |
transcript.whisperx[10].start |
261.527 |
transcript.whisperx[10].end |
282.244 |
transcript.whisperx[10].text |
議員議員議員議員議員 |
transcript.whisperx[11].start |
282.978 |
transcript.whisperx[11].end |
294.206 |
transcript.whisperx[11].text |
議員議員議員議員 |
transcript.whisperx[12].start |
294.423 |
transcript.whisperx[12].end |
296.964 |
transcript.whisperx[12].text |
接下來這個博物館 |
transcript.whisperx[13].start |
323.263 |
transcript.whisperx[13].end |
336.559 |
transcript.whisperx[13].text |
原住民族博物館原住民族已經等待超過8年以上了那因為時間的關係我就不繼續一個一個來談我就看最後一個部分這個 |
transcript.whisperx[14].start |
343.838 |
transcript.whisperx[14].end |
369.617 |
transcript.whisperx[14].text |
有一個文號就是說這個顏明會顏明會有含報給這個國發會就是有關原住民族博物館的一個籌備處籌備處的這個你們到現在還沒有寫同意是不是可以請人事行政總處這邊來支持就是原住民族博物館的籌備處 |
transcript.whisperx[15].start |
378.02 |
transcript.whisperx[15].end |
395.511 |
transcript.whisperx[15].text |
我們在今年的2月2號的時候監察院有約詢那我們有請園民會提供一些相關的資料我們會盡力來支持因為111年的時候園民會有答覆就是說他們有提報這個 |
transcript.whisperx[16].start |
399.127 |
transcript.whisperx[16].end |
408.276 |
transcript.whisperx[16].text |
國立原住民族博物館籌備處的暫行組織規程報給行政院,行政院交給人事行政總處,這個部分要積極的來處理。 |