iVOD / 151744

Field Value
IVOD_ID 151744
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/151744
日期 2024-04-25
會議資料.會議代碼 委員會-11-1-26-13
會議資料.會議代碼:str 第11屆第1會期社會福利及衛生環境委員會第13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 13
會議資料.種類 委員會
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 第11屆第1會期社會福利及衛生環境委員會第13次全體委員會議
影片種類 Clip
開始時間 2024-04-25T10:59:47+08:00
結束時間 2024-04-25T11:07:20+08:00
影片長度 00:07:33
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/37a05b44d500ce15d0092d1d9a5f6d03c97d93183120460dc68e374cd8c4bed04af671f0839fd99a5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鄭天財Sra Kacaw
委員發言時間 10:59:47 - 11:07:20
會議時間 2024-04-25T09:00:00+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第13次全體委員會議(事由:邀請勞動部部長、法務部、原住民族委員會、內政部、衛生福利部就「就業服務法上路逾三十年,針對就業促進、歧視禁止、外國勞動力權益保障等面向進行全面檢視」進行專題報告,並備質詢。 【4月22日、24日及25日三天一次會】)
gazette.lineno 667
gazette.blocks[0][0] 鄭天財Sra Kacaw委員:(10時59分)主席、各位委員。有請勞動力發展署蔡署長,還有原民會羅處長。
gazette.blocks[1][0] 主席:請蔡署長、羅處長。
gazette.blocks[2][0] 蔡署長孟良:委員好。
gazette.blocks[3][0] 鄭天財Sra Kacaw委員:署長好。因為部長很辛苦,所以讓他休息。今天的報告提到就業服務法是民國81年4月17日公布施行,到現在已經30多年了,第二十四條當初只有6款,其中一款就有原住民,所以當時的立法院、當時的政府都非常重視。不僅僅這樣,「原住民」這3個字是第一次出現在中華民國的法律上,那時候憲法還沒有修,憲法是民國83年才修正,把「山胞」正名為「原住民」,所以在當時憲法還是寫山胞的時候,中華民國的法律多重視原住民立委的意見;順便說一下這個故事。
gazette.blocks[3][1] 現在的就業服務法第二十四條一樣有原住民的部分,就業服務法第六條也特別規定,中央主管機關應會同原住民族委員會辦理相關原住民就業服務事項,但現在勞動部一直比較努力的地方是在就業服務法的第六條第六款,這個等一下我會談,你們很努力在這個部分。
gazette.blocks[3][2] 羅處長,今天原民會的報告裡寫了很多,當然我們的失業率有減少,但這有很多因素,在報告中有關就業促進部分,你特別提到這麼長的這些內容,但很多其實跟今天的主題是沒有關係的。今天的主題是就業服務法上路30年了,但你寫了這一大堆,問題是很多都是新的法律才有的,譬如原住民族語言發展法,這是我在立法院推動的,然後相關的語推人員或相關的族語專職化,也都是我在立法院推動的。又譬如長期照顧服務法,這也是新的法律,我們特別請衛福部一定要弄個原住民族專章,而相關的文化健康站的推動、經費的挹注,都是我去協調的,你們在這個部分寫了一堆話,大家會以為原住民的就業已經完全沒有需要了,大家會這樣想。原民會要思考的是如何真正協助原住民,你提到我們的薪資差額還超過1萬以上,對不對?這才是你們要去努力、協調的,但今天你的報告裡有太多跟今天的主題沒有關係的部分也都放進去,像工作權保障法,這是楊仁福立法委員在立法院提案,弄了老半天才三讀通過,這個部分跟就業服務法也沒有關係。
gazette.blocks[3][3] 現在我們就談勞動部的部分。今年4月25日勞動部在委員會提出一份報告,其中提到「延攬外國專業人才」,上次我在這裡也質詢過;112年3月6日勞動部跨國勞動力政策協商諮詢小組召開第35次會議,會議結論是原則同意營造業引進營造移工採階段性先行開放總額8,000名,並視執行情形可增加開放至1.5萬名。請問署長,現在開放進來多少了?
gazette.blocks[4][0] 蔡署長孟良:跟委員報告,這個部分是內政部、國產署,這1.5萬名是以他們設定的條件去做分配,據我們的瞭解,這1.5萬名目前已經陸陸續續在核配,也接近快要核配完。
gazette.blocks[5][0] 鄭天財Sra Kacaw委員:大約多少?
gazette.blocks[6][0] 蔡署長孟良:人數大概1萬……
gazette.blocks[7][0] 鄭天財Sra Kacaw委員:沒關係,再回復好了。
gazette.blocks[8][0] 蔡署長孟良:差不多快1萬2。
gazette.blocks[9][0] 鄭天財Sra Kacaw委員:再書面提供給我好了。
gazette.blocks[9][1] 羅處長,原民會有沒有參加這個會議?
gazette.blocks[10][0] 羅處長赫踛:報告,有。
gazette.blocks[11][0] 鄭天財Sra Kacaw委員:有,所以這是一個很嚴重需要去檢討的地方。外國人從事就業服務法第四十六條第一項第八款至第十一款工作資格一再的修、一再的修,8年來修了18次,很重要的是一再放寬;放寬沒關係,但不要把原住民進用的唯一條款刪除掉!羅處長,當初開會時你們有沒有反對?還是你們沒有注意看這個條文?保障原住民的進用還是要有,因為缺工讓外國人進來,我們支持,但是不要把保障的條款拿掉,以後要再放進來不容易啊!這個部分需要原民會還有勞動部的重視,希望還是要把它修回來。羅處長,要加油啊!好不好?
gazette.blocks[12][0] 羅處長赫踛:是,我們再跟勞動部這邊協商。
gazette.blocks[13][0] 鄭天財Sra Kacaw委員:好,謝謝。
gazette.blocks[14][0] 主席:謝謝鄭天財委員的發言。
gazette.blocks[14][1] 接下來請林淑芬委員發言。
gazette.agenda.page_end 424
gazette.agenda.meet_id 委員會-11-1-26-13
gazette.agenda.speakers[0] 黃秀芳
gazette.agenda.speakers[1] 陳昭姿
gazette.agenda.speakers[2] 林月琴
gazette.agenda.speakers[3] 王育敏
gazette.agenda.speakers[4] 陳菁徽
gazette.agenda.speakers[5] 邱鎮軍
gazette.agenda.speakers[6] 涂權吉
gazette.agenda.speakers[7] 王正旭
gazette.agenda.speakers[8] 蘇清泉
gazette.agenda.speakers[9] 鄭天財Sra Kacaw
gazette.agenda.speakers[10] 林淑芬
gazette.agenda.speakers[11] 黃國昌
gazette.agenda.speakers[12] 麥玉珍
gazette.agenda.speakers[13] 洪孟楷
gazette.agenda.speakers[14] 伍麗華Saidhai‧Tahovecahe
gazette.agenda.speakers[15] 牛煦庭
gazette.agenda.speakers[16] 張啓楷
gazette.agenda.speakers[17] 吳春城
gazette.agenda.speakers[18] 何欣純
gazette.agenda.speakers[19] 陳瑩
gazette.agenda.speakers[20] 劉建國
gazette.agenda.speakers[21] 林倩綺
gazette.agenda.speakers[22] 廖偉翔
gazette.agenda.speakers[23] 楊曜
gazette.agenda.speakers[24] 盧縣一
gazette.agenda.speakers[25] 翁曉玲
gazette.agenda.speakers[26] 羅智強
gazette.agenda.page_start 347
gazette.agenda.meetingDate[0] 2024-04-25
gazette.agenda.gazette_id 1133401
gazette.agenda.agenda_lcidc_ids[0] 1133401_00005
gazette.agenda.meet_name 立法院第11屆第1會期社會福利及衛生環境委員會第13次全體委員會議紀錄
gazette.agenda.content 邀請勞動部部長、法務部、原住民族委員會、內政部、衛生福利部就「就業服務法上路逾三十 年,針對就業促進、歧視禁止、外國勞動力權益保障等面向進行全面檢視」進行專題報告,並備 質詢
gazette.agenda.agenda_id 1133401_00004
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 1.81971875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 10.10534375
transcript.pyannote[1].end 16.34909375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 16.90596875
transcript.pyannote[2].end 18.74534375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 17.69909375
transcript.pyannote[3].end 18.39096875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 19.60596875
transcript.pyannote[4].end 20.87159375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 21.91784375
transcript.pyannote[5].end 23.35221875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 21.96846875
transcript.pyannote[6].end 22.81221875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 23.68971875
transcript.pyannote[7].end 23.80784375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 24.29721875
transcript.pyannote[8].end 24.97221875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 24.97221875
transcript.pyannote[9].end 24.98909375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 25.25909375
transcript.pyannote[10].end 26.38971875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 28.46534375
transcript.pyannote[11].end 32.59971875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 33.98346875
transcript.pyannote[12].end 34.40534375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 35.53596875
transcript.pyannote[13].end 36.27846875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 37.22346875
transcript.pyannote[14].end 38.67471875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 39.26534375
transcript.pyannote[15].end 41.13846875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 41.61096875
transcript.pyannote[16].end 47.34846875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 47.63534375
transcript.pyannote[17].end 49.23846875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 49.96409375
transcript.pyannote[18].end 50.90909375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 51.46596875
transcript.pyannote[19].end 55.61721875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 56.19096875
transcript.pyannote[20].end 57.72659375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 57.82784375
transcript.pyannote[21].end 58.92471875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 59.44784375
transcript.pyannote[22].end 60.76409375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 61.33784375
transcript.pyannote[23].end 63.51471875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 63.90284375
transcript.pyannote[24].end 64.91534375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 66.38346875
transcript.pyannote[25].end 67.14284375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 67.32846875
transcript.pyannote[26].end 68.34096875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 68.86409375
transcript.pyannote[27].end 70.77096875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 71.61471875
transcript.pyannote[28].end 73.04909375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 74.68596875
transcript.pyannote[29].end 77.57159375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 78.14534375
transcript.pyannote[30].end 82.60034375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 82.85346875
transcript.pyannote[31].end 84.45659375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 85.16534375
transcript.pyannote[32].end 86.98784375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 87.66284375
transcript.pyannote[33].end 88.84409375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 89.80596875
transcript.pyannote[34].end 92.05034375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 92.10096875
transcript.pyannote[35].end 94.12596875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 94.29471875
transcript.pyannote[36].end 96.82596875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 97.51784375
transcript.pyannote[37].end 106.14096875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 106.84971875
transcript.pyannote[38].end 109.78596875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 110.34284375
transcript.pyannote[39].end 118.02096875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 117.14346875
transcript.pyannote[40].end 117.19409375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 120.11346875
transcript.pyannote[41].end 121.48034375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 121.85159375
transcript.pyannote[42].end 122.18909375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 124.01159375
transcript.pyannote[43].end 125.20971875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 126.77909375
transcript.pyannote[44].end 129.83346875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 128.50034375
transcript.pyannote[45].end 128.90534375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 130.55909375
transcript.pyannote[46].end 133.57971875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 134.65971875
transcript.pyannote[47].end 138.30471875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 139.58721875
transcript.pyannote[48].end 141.66284375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 142.67534375
transcript.pyannote[49].end 143.23221875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 143.65409375
transcript.pyannote[50].end 143.77221875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 144.09284375
transcript.pyannote[51].end 145.27409375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 145.54409375
transcript.pyannote[52].end 145.96596875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 146.20221875
transcript.pyannote[53].end 147.24846875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 147.87284375
transcript.pyannote[54].end 149.23971875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 149.49284375
transcript.pyannote[55].end 150.03284375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 150.10034375
transcript.pyannote[56].end 151.09596875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 151.55159375
transcript.pyannote[57].end 154.75784375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 155.36534375
transcript.pyannote[58].end 160.51221875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 160.93409375
transcript.pyannote[59].end 164.20784375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 164.91659375
transcript.pyannote[60].end 165.72659375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 166.67159375
transcript.pyannote[61].end 167.92034375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 168.61221875
transcript.pyannote[62].end 169.38846875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 170.08034375
transcript.pyannote[63].end 171.32909375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 172.12221875
transcript.pyannote[64].end 175.14284375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 175.78409375
transcript.pyannote[65].end 177.43784375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 178.06221875
transcript.pyannote[66].end 178.33221875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 179.15909375
transcript.pyannote[67].end 179.69909375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 179.83409375
transcript.pyannote[68].end 184.12034375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 184.40721875
transcript.pyannote[69].end 186.70221875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 187.32659375
transcript.pyannote[70].end 190.26284375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 190.88721875
transcript.pyannote[71].end 194.93721875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 195.32534375
transcript.pyannote[72].end 199.59471875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 199.93221875
transcript.pyannote[73].end 204.21846875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 204.72471875
transcript.pyannote[74].end 208.04909375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 208.57221875
transcript.pyannote[75].end 210.09096875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 210.96846875
transcript.pyannote[76].end 212.89221875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 213.60096875
transcript.pyannote[77].end 215.54159375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 215.77784375
transcript.pyannote[78].end 218.89971875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 219.47346875
transcript.pyannote[79].end 221.93721875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 224.18159375
transcript.pyannote[80].end 227.75909375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 228.58596875
transcript.pyannote[81].end 229.68284375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 231.15096875
transcript.pyannote[82].end 232.46721875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 232.90596875
transcript.pyannote[83].end 235.04909375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 236.41596875
transcript.pyannote[84].end 237.19221875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 237.69846875
transcript.pyannote[85].end 240.33096875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 240.71909375
transcript.pyannote[86].end 242.44034375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 242.96346875
transcript.pyannote[87].end 245.74784375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 246.40596875
transcript.pyannote[88].end 246.82784375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 247.31721875
transcript.pyannote[89].end 250.32096875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 250.96221875
transcript.pyannote[90].end 252.02534375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 252.46409375
transcript.pyannote[91].end 255.53534375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 256.00784375
transcript.pyannote[92].end 256.34534375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 257.86409375
transcript.pyannote[93].end 264.52971875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 265.18784375
transcript.pyannote[94].end 268.78221875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 269.11971875
transcript.pyannote[95].end 270.03096875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 270.94221875
transcript.pyannote[96].end 277.18596875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 277.72596875
transcript.pyannote[97].end 278.14784375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 279.19409375
transcript.pyannote[98].end 281.79284375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 283.68284375
transcript.pyannote[99].end 284.50971875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 285.38721875
transcript.pyannote[100].end 286.06221875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 287.26034375
transcript.pyannote[101].end 287.90159375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 288.62721875
transcript.pyannote[102].end 292.06971875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 292.82909375
transcript.pyannote[103].end 294.97221875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 295.49534375
transcript.pyannote[104].end 296.30534375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 297.52034375
transcript.pyannote[105].end 298.29659375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 299.27534375
transcript.pyannote[106].end 302.34659375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 302.76846875
transcript.pyannote[107].end 309.70409375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 310.24409375
transcript.pyannote[108].end 312.21846875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 313.38284375
transcript.pyannote[109].end 314.05784375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 314.81721875
transcript.pyannote[110].end 322.30971875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 322.78221875
transcript.pyannote[111].end 324.06471875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 324.72284375
transcript.pyannote[112].end 328.85721875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 329.14409375
transcript.pyannote[113].end 330.59534375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 331.00034375
transcript.pyannote[114].end 333.54846875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 334.00409375
transcript.pyannote[115].end 334.79721875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 335.11784375
transcript.pyannote[116].end 351.38534375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 352.44846875
transcript.pyannote[117].end 352.92096875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 353.96721875
transcript.pyannote[118].end 354.47346875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 355.08096875
transcript.pyannote[119].end 356.02596875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 356.49846875
transcript.pyannote[120].end 361.49346875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 356.92034375
transcript.pyannote[121].end 359.08034375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 359.82284375
transcript.pyannote[122].end 361.74659375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 362.35409375
transcript.pyannote[123].end 364.26096875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 364.68284375
transcript.pyannote[124].end 367.68659375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 368.20971875
transcript.pyannote[125].end 368.47971875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 368.47971875
transcript.pyannote[126].end 368.85096875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 369.88034375
transcript.pyannote[127].end 376.32659375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 376.98471875
transcript.pyannote[128].end 377.67659375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 377.89596875
transcript.pyannote[129].end 384.30846875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 384.61221875
transcript.pyannote[130].end 386.75534375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 387.44721875
transcript.pyannote[131].end 389.03346875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 390.38346875
transcript.pyannote[132].end 391.49721875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 392.30721875
transcript.pyannote[133].end 393.74159375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 395.05784375
transcript.pyannote[134].end 399.36096875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 399.81659375
transcript.pyannote[135].end 402.51659375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 403.09034375
transcript.pyannote[136].end 404.47409375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 404.81159375
transcript.pyannote[137].end 405.79034375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 406.85346875
transcript.pyannote[138].end 408.43971875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 410.04284375
transcript.pyannote[139].end 413.75534375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 414.59909375
transcript.pyannote[140].end 415.17284375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 415.96596875
transcript.pyannote[141].end 420.01596875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 420.57284375
transcript.pyannote[142].end 422.44596875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 422.98596875
transcript.pyannote[143].end 425.88846875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 426.51284375
transcript.pyannote[144].end 428.16659375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 429.48284375
transcript.pyannote[145].end 431.49096875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 431.94659375
transcript.pyannote[146].end 434.89971875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 435.35534375
transcript.pyannote[147].end 437.93721875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 438.69659375
transcript.pyannote[148].end 443.38784375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 443.70846875
transcript.pyannote[149].end 445.59846875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 446.02034375
transcript.pyannote[150].end 449.78346875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 447.99471875
transcript.pyannote[151].end 448.56846875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 450.18846875
transcript.pyannote[152].end 451.35284375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 452.26409375
transcript.pyannote[153].end 452.97284375
transcript.whisperx[0].start 0.149
transcript.whisperx[0].end 22.187
transcript.whisperx[0].text 政天才委員發言。主席、各位委員。有請那個勞動力發展署蔡署長。還有顏明慧、何璐、羅處長。好,委員好。好,署長好。
transcript.whisperx[1].start 28.49
transcript.whisperx[1].end 28.83
transcript.whisperx[1].text 第二十四條.
transcript.whisperx[2].start 50.311
transcript.whisperx[2].end 72.782
transcript.whisperx[2].text 就有當初只有6款其中一款就原住民所以當時非常當時的這個立法院當時的政府非常重視不僅僅是這樣原住民這三個字是中華民國的法律第一次出現在
transcript.whisperx[3].start 74.741
transcript.whisperx[3].end 88.699
transcript.whisperx[3].text 在法例那時候憲法還沒有修民國83年才修三包正名為原住民所以當時憲法還是寫三包的時候中華民國的法例
transcript.whisperx[4].start 90.084
transcript.whisperx[4].end 96.367
transcript.whisperx[4].text 中央主管機關應會同原住民族委員會辦理相關原住民族就業服務事項﹖
transcript.whisperx[5].start 120.165
transcript.whisperx[5].end 140.439
transcript.whisperx[5].text 就業服務法第6條現在勞動部一直比較努力的地方是在就業服務法第6條的第6款等一下我們會談你們很努力的在這個地方那園民會的報告
transcript.whisperx[6].start 144.149
transcript.whisperx[6].end 170.74
transcript.whisperx[6].text 羅處長,你的報告裡面寫了這些當然我們的失業率有減少但是這個很多的因素很多的因素這裡面你的報告裡面就業促進特別講了這些事實上你寫了這些那麼長的那麼長的跟今天的主題其實是很多都沒有關係的
transcript.whisperx[7].start 172.328
transcript.whisperx[7].end 194.456
transcript.whisperx[7].text 今天主題是就業服務法三十年然後相關的這些然後你寫了一堆這個很多都是新的法律才有的譬如說原住民族委員發展法是我在立法院推動然後相關的這個以推人員或是這個相關的這些
transcript.whisperx[8].start 195.676
transcript.whisperx[8].end 221.418
transcript.whisperx[8].text 注意專職業、專職化都是我在立法院推動的像那個長期照顧服務法也是新的法例然後我們特別請衛福部一定要那個原住民族的專章然後相關的這個文化健康站的推動經費的協調都是我去那邊協調的所以這個部分寫一堆這些
transcript.whisperx[9].start 224.229
transcript.whisperx[9].end 245.608
transcript.whisperx[9].text 這樣的話,大家會以為原住民的就業已經完全就沒有需要了。會這樣的,所以這個部分,人民會怎麼樣去協助,真正去協助。你也提到我們的薪資差額還是超過一萬以上啊。
transcript.whisperx[10].start 246.448
transcript.whisperx[10].end 264.182
transcript.whisperx[10].text 對不對?像這個怎麼去努力、去協調,這個才是一個今天你的報告裡面太多的那個跟今天的主題沒有關係的部分,所以都把它訂進去。像工作權保障法,
transcript.whisperx[11].start 265.296
transcript.whisperx[11].end 267.717
transcript.whisperx[11].text 這是今年4月25日勞動部在這裡的一個報告。
transcript.whisperx[12].start 292.921
transcript.whisperx[12].end 295.785
transcript.whisperx[12].text 延攬外國專業人才。112年3月6日,勞動部跨國勞動力政策協商諮詢小組召開第35次會議。
transcript.whisperx[13].start 314.865
transcript.whisperx[13].end 328.415
transcript.whisperx[13].text 會議結論,原則同意營造業引進營造移工採階段性先行開放總額8000名,並視實際情形可增加開放至1.5萬名。請問一下署長,現在開放進來多少?
transcript.whisperx[14].start 335.52
transcript.whisperx[14].end 360.415
transcript.whisperx[14].text 跟委員報告因為這個部分是內政部國產署那1.5萬名是以他的設定的條件去做分配那目前據我們的瞭解他這個1萬5千名大概大概就是已經陸陸續續在合配也接近快要合配多少大約人數大概1萬人數再回覆對1萬2差不多快要接近快要接近
transcript.whisperx[15].start 363.701
transcript.whisperx[15].end 388.849
transcript.whisperx[15].text 委員會有參加這個會議嗎?有。所以這是一個很嚴重的需要去檢討的地方。這個外國人從事就業服務法第46條第一項第8款是第11款工作資格一再的修一再的修修了18次這8年來
transcript.whisperx[16].start 392.412
transcript.whisperx[16].end 412.974
transcript.whisperx[16].text 先入18次很重要的一再放寬我們都放寬沒有關係但是不要把原住民禁用的唯一的條款就刪除掉了你們沒有反對啊?羅處長當初開會還是你們就沒有注意看這個條
transcript.whisperx[17].start 414.693
transcript.whisperx[17].end 428.064
transcript.whisperx[17].text 就這樣保障原住民金融還是要還是要有為什麼外國人進來缺工我們支持但是不要把保障的條款以後再放進來不容易啊
transcript.whisperx[18].start 429.557
transcript.whisperx[18].end 450.269
transcript.whisperx[18].text 所以這個部分都是需要這個人民會還有勞動部要去重視的地方。所以這個部分我是希望還是把它修回來。那個羅處長,加油。是,我們再跟勞動部這邊再做協商。好,謝謝。