iVOD / 160762

Field Value
IVOD_ID 160762
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160762
日期 2025-04-30
會議資料.會議代碼 委員會-11-3-19-11
會議資料.會議代碼:str 第11屆第3會期經濟委員會第11次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 11
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第3會期經濟委員會第11次全體委員會議
影片種類 Clip
開始時間 2025-04-30T09:57:43+08:00
結束時間 2025-04-30T10:05:54+08:00
影片長度 00:08:11
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/b6da7da99b94236903e60e0ca860c53b3c0ba1d923b4b8dbc2100e055cb594032f620ca07494474b5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鄭天財Sra Kacaw
委員發言時間 09:57:43 - 10:05:54
會議時間 2025-04-30T09:00:00+08:00
會議名稱 立法院第11屆第3會期經濟委員會第11次全體委員會議(事由:審查: 一、本院委員林宜瑾等22人擬具「動物保護法部分條文修正草案」案。 二、本院委員呂玉玲等16人擬具「動物保護法第十條條文修正草案」案。 三、本院委員呂玉玲等16人擬具「動物保護法第二十五條及第二十五條之一條文修正草案」案。 四、本院委員張智倫等16人擬具「動物保護法第十條條文修正草案」案。 五、本院委員劉建國等16人擬具「動物保護法部分條文修正草案」案。 六、本院台灣民眾黨黨團擬具「動物保護法第二十五條之二條文修正草案」案。 七、本院委員林岱樺等21人擬具「動物保護法第十四條之一、第十四條之二及第三十條條文修正草案」案。 八、本院委員徐巧芯等17人擬具「動物保護法部分條文修正草案」案。 九、本院委員鄭天財Sra Kacaw等16人擬具「動物保護法第二條及第十條條文修正草案」案。 十、本院委員李坤城等22人擬具「動物保護法部分條文修正草案」案。 十一、本院委員廖先翔等19人擬具「動物保護法部分條文修正草案」案。 十二、本院台灣民眾黨黨團擬具「動物保護法部分條文修正草案」案。 十三、本院委員羅廷瑋等18人擬具「動物保護法部分條文修正草案」案。 十四、本院委員郭昱晴等16人擬具「動物保護法部分條文修正草案」案。 十五、本院委員楊瓊瓔等21人擬具「動物保護法第二十五條及第二十五條之一條文修正草案」案。 十六、本院委員陳亭妃等18人擬具「動物保護法第五條、第二十條及第二十五條條文修正草案」案。 十七、本院委員林思銘等18人擬具「動物保護法部分條文修正草案」案。 十八、本院委員洪孟楷等16人擬具「動物保護法部分條文修正草案」案。 十九、本院台灣民眾黨黨團擬具「動物保護法第二條及第五條條文修正草案」案。 二十、本院委員游顥等23人擬具「動物保護法第二十五條之一條文修正草案」案。 二十一、本院委員葉元之等17人擬具「動物保護法第十條條文修正草案」案。 二十二、本院委員葉元之等17人擬具「動物保護法增訂第十四條之三條文草案」案。 二十三、本院委員葉元之等17人擬具「動物保護法第二十五條條文修正草案」案。 二十四、本院委員葉元之等17人擬具「動物保護法第二十五條之二條文修正草案」案。 二十五、本院委員蘇巧慧等17人擬具「動物保護法部分條文修正草案」案。 二十六、本院委員吳沛憶等17人擬具「動物保護法第二十二條之四條文修正草案」案。(詢答) 【4月30日及5月1日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 9.59909375
transcript.pyannote[0].end 10.29096875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 10.49346875
transcript.pyannote[1].end 12.29909375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 13.93596875
transcript.pyannote[2].end 14.42534375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 19.30221875
transcript.pyannote[3].end 20.19659375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 21.07409375
transcript.pyannote[4].end 21.58034375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 22.52534375
transcript.pyannote[5].end 24.46596875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 24.48284375
transcript.pyannote[6].end 26.98034375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 27.63846875
transcript.pyannote[7].end 28.56659375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 29.22471875
transcript.pyannote[8].end 32.34659375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 32.95409375
transcript.pyannote[9].end 33.20721875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 33.78096875
transcript.pyannote[10].end 36.83534375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 37.32471875
transcript.pyannote[11].end 39.18096875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 39.46784375
transcript.pyannote[12].end 41.25659375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 41.67846875
transcript.pyannote[13].end 42.80909375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 43.36596875
transcript.pyannote[14].end 43.80471875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 44.00721875
transcript.pyannote[15].end 45.64409375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 46.85909375
transcript.pyannote[16].end 48.56346875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 48.73221875
transcript.pyannote[17].end 51.44909375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 52.00596875
transcript.pyannote[18].end 56.03909375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 56.44409375
transcript.pyannote[19].end 57.60846875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 58.08096875
transcript.pyannote[20].end 58.43534375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 58.68846875
transcript.pyannote[21].end 66.88971875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 67.07534375
transcript.pyannote[22].end 69.04971875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 69.45471875
transcript.pyannote[23].end 70.95659375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 71.34471875
transcript.pyannote[24].end 71.53034375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 71.64846875
transcript.pyannote[25].end 74.87159375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 75.78284375
transcript.pyannote[26].end 80.65971875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 81.18284375
transcript.pyannote[27].end 83.61284375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 84.45659375
transcript.pyannote[28].end 85.67159375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 86.19471875
transcript.pyannote[29].end 89.53596875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 89.82284375
transcript.pyannote[30].end 92.57346875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 93.34971875
transcript.pyannote[31].end 94.29471875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 94.76721875
transcript.pyannote[32].end 95.72909375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 96.62346875
transcript.pyannote[33].end 97.97346875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 98.76659375
transcript.pyannote[34].end 100.99409375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 101.33159375
transcript.pyannote[35].end 106.09034375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 107.30534375
transcript.pyannote[36].end 108.31784375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 109.33034375
transcript.pyannote[37].end 110.12346875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 111.05159375
transcript.pyannote[38].end 111.55784375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 111.97971875
transcript.pyannote[39].end 113.68409375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 114.54471875
transcript.pyannote[40].end 116.56971875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 116.68784375
transcript.pyannote[41].end 118.32471875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 119.23596875
transcript.pyannote[42].end 119.72534375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 119.92784375
transcript.pyannote[43].end 121.41284375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 121.48034375
transcript.pyannote[44].end 123.35346875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 123.99471875
transcript.pyannote[45].end 125.54721875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 125.80034375
transcript.pyannote[46].end 128.38221875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 129.00659375
transcript.pyannote[47].end 131.30159375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 132.33096875
transcript.pyannote[48].end 132.36471875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 132.36471875
transcript.pyannote[49].end 132.90471875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 134.89596875
transcript.pyannote[50].end 136.92096875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 136.97159375
transcript.pyannote[51].end 137.95034375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 138.54096875
transcript.pyannote[52].end 141.08909375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 141.73034375
transcript.pyannote[53].end 142.18596875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 142.35471875
transcript.pyannote[54].end 143.97471875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 144.49784375
transcript.pyannote[55].end 149.89784375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 150.45471875
transcript.pyannote[56].end 151.97346875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 151.97346875
transcript.pyannote[57].end 152.31096875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 152.91846875
transcript.pyannote[58].end 152.93534375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 152.93534375
transcript.pyannote[59].end 154.65659375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 155.02784375
transcript.pyannote[60].end 156.04034375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 156.61409375
transcript.pyannote[61].end 157.13721875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 158.48721875
transcript.pyannote[62].end 160.56284375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 161.69346875
transcript.pyannote[63].end 164.49471875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 163.04346875
transcript.pyannote[64].end 179.96909375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 179.96909375
transcript.pyannote[65].end 182.61846875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 183.09096875
transcript.pyannote[66].end 184.49159375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 184.99784375
transcript.pyannote[67].end 187.22534375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 187.61346875
transcript.pyannote[68].end 188.72721875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 189.41909375
transcript.pyannote[69].end 190.02659375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 190.66784375
transcript.pyannote[70].end 191.47784375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 192.05159375
transcript.pyannote[71].end 194.32971875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 194.71784375
transcript.pyannote[72].end 195.47721875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 196.65846875
transcript.pyannote[73].end 198.46409375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 198.91971875
transcript.pyannote[74].end 200.50596875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 201.21471875
transcript.pyannote[75].end 202.05846875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 202.22721875
transcript.pyannote[76].end 203.88096875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 204.31971875
transcript.pyannote[77].end 206.09159375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 206.29409375
transcript.pyannote[78].end 210.15846875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 210.46221875
transcript.pyannote[79].end 211.35659375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 211.86284375
transcript.pyannote[80].end 214.68096875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 215.49096875
transcript.pyannote[81].end 215.81159375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 217.00971875
transcript.pyannote[82].end 219.62534375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 220.55346875
transcript.pyannote[83].end 221.17784375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 222.22409375
transcript.pyannote[84].end 223.97909375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 224.50221875
transcript.pyannote[85].end 227.57346875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 227.60721875
transcript.pyannote[86].end 228.53534375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 229.44659375
transcript.pyannote[87].end 230.93159375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 231.82596875
transcript.pyannote[88].end 234.00284375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 234.23909375
transcript.pyannote[89].end 235.21784375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 235.70721875
transcript.pyannote[90].end 236.55096875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 237.12471875
transcript.pyannote[91].end 239.87534375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 240.21284375
transcript.pyannote[92].end 241.46159375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 242.25471875
transcript.pyannote[93].end 243.80721875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 244.65096875
transcript.pyannote[94].end 245.74784375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 246.59159375
transcript.pyannote[95].end 250.03409375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 250.77659375
transcript.pyannote[96].end 251.04659375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 251.43471875
transcript.pyannote[97].end 255.26534375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 255.77159375
transcript.pyannote[98].end 258.45471875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 258.85971875
transcript.pyannote[99].end 259.70346875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 260.34471875
transcript.pyannote[100].end 261.49221875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 262.43721875
transcript.pyannote[101].end 262.72409375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 263.14596875
transcript.pyannote[102].end 265.64346875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 266.26784375
transcript.pyannote[103].end 266.99346875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 269.30534375
transcript.pyannote[104].end 272.56221875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 273.87846875
transcript.pyannote[105].end 274.73909375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 275.93721875
transcript.pyannote[106].end 277.59096875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 279.58221875
transcript.pyannote[107].end 280.00409375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 280.88159375
transcript.pyannote[108].end 281.25284375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 281.48909375
transcript.pyannote[109].end 281.69159375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 282.19784375
transcript.pyannote[110].end 282.46784375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 283.31159375
transcript.pyannote[111].end 284.20596875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 284.64471875
transcript.pyannote[112].end 287.04096875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 287.56409375
transcript.pyannote[113].end 289.75784375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 290.44971875
transcript.pyannote[114].end 293.28471875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 294.12846875
transcript.pyannote[115].end 295.63034375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 296.99721875
transcript.pyannote[116].end 297.38534375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 297.95909375
transcript.pyannote[117].end 301.67159375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 302.59971875
transcript.pyannote[118].end 303.81471875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 304.25346875
transcript.pyannote[119].end 308.48909375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 309.43409375
transcript.pyannote[120].end 309.72096875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 310.49721875
transcript.pyannote[121].end 312.62346875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 313.43346875
transcript.pyannote[122].end 313.92284375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 314.76659375
transcript.pyannote[123].end 316.74096875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 317.14596875
transcript.pyannote[124].end 319.22159375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 319.44096875
transcript.pyannote[125].end 320.87534375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 321.71909375
transcript.pyannote[126].end 321.97221875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 323.05221875
transcript.pyannote[127].end 323.55846875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 323.91284375
transcript.pyannote[128].end 324.68909375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 325.14471875
transcript.pyannote[129].end 326.24159375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 326.76471875
transcript.pyannote[130].end 327.10221875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 327.40596875
transcript.pyannote[131].end 328.14846875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 328.51971875
transcript.pyannote[132].end 331.25346875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 331.91159375
transcript.pyannote[133].end 332.48534375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 332.80596875
transcript.pyannote[134].end 333.44721875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 333.46409375
transcript.pyannote[135].end 334.69596875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 335.40471875
transcript.pyannote[136].end 337.36221875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 337.98659375
transcript.pyannote[137].end 339.64034375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 340.28159375
transcript.pyannote[138].end 342.27284375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 342.67784375
transcript.pyannote[139].end 344.43284375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 345.20909375
transcript.pyannote[140].end 345.47909375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 346.39034375
transcript.pyannote[141].end 346.77846875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 347.25096875
transcript.pyannote[142].end 347.52096875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 348.76971875
transcript.pyannote[143].end 350.65971875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 351.77346875
transcript.pyannote[144].end 353.44409375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 353.84909375
transcript.pyannote[145].end 355.04721875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 355.31721875
transcript.pyannote[146].end 356.48159375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 357.00471875
transcript.pyannote[147].end 359.08034375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 359.85659375
transcript.pyannote[148].end 360.90284375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 361.42596875
transcript.pyannote[149].end 362.25284375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 362.94471875
transcript.pyannote[150].end 369.86346875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 370.43721875
transcript.pyannote[151].end 371.77034375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 372.59721875
transcript.pyannote[152].end 375.02721875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 375.78659375
transcript.pyannote[153].end 378.45284375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 379.00971875
transcript.pyannote[154].end 380.81534375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 381.32159375
transcript.pyannote[155].end 384.54471875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 385.03409375
transcript.pyannote[156].end 387.97034375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 388.56096875
transcript.pyannote[157].end 390.16409375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 390.61971875
transcript.pyannote[158].end 391.24409375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 391.96971875
transcript.pyannote[159].end 392.27346875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 392.83034375
transcript.pyannote[160].end 394.02846875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 394.02846875
transcript.pyannote[161].end 394.72034375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 395.22659375
transcript.pyannote[162].end 395.88471875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 396.69471875
transcript.pyannote[163].end 407.96721875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 408.33846875
transcript.pyannote[164].end 433.26284375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 433.51596875
transcript.pyannote[165].end 448.53471875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 449.19284375
transcript.pyannote[166].end 451.38659375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 451.43721875
transcript.pyannote[167].end 455.21721875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 451.87596875
transcript.pyannote[168].end 452.21346875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 456.46596875
transcript.pyannote[169].end 460.75221875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 461.34284375
transcript.pyannote[170].end 463.89096875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 464.32971875
transcript.pyannote[171].end 465.47721875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 466.21971875
transcript.pyannote[172].end 469.64534375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 470.15159375
transcript.pyannote[173].end 470.42159375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 470.70846875
transcript.pyannote[174].end 472.27784375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 472.86846875
transcript.pyannote[175].end 474.80909375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 475.11284375
transcript.pyannote[176].end 477.03659375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 478.11659375
transcript.pyannote[177].end 481.06971875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 481.22159375
transcript.pyannote[178].end 482.62221875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 483.14534375
transcript.pyannote[179].end 487.09409375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 487.54971875
transcript.pyannote[180].end 489.96284375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 490.51971875
transcript.pyannote[181].end 491.31284375
transcript.whisperx[0].start 9.799
transcript.whisperx[0].end 14.125
transcript.whisperx[0].text 主席 委員 請部長部長好部長好 這個
transcript.whisperx[1].start 22.577
transcript.whisperx[1].end 45.236
transcript.whisperx[1].text 今天的主題 動物保育法的修法 動物保護法那從原住民的觀點又不一樣從原住民文化和狩獵來看原住民以黑熊我們就以黑熊作為為例當然各種動物又不太一樣
transcript.whisperx[2].start 46.906
transcript.whisperx[2].end 74.746
transcript.whisperx[2].text 布農族看黑熊是友伴、同盟、尊敬、恐懼大家比較不知道以為我們原住民就是專門去狩獵的其實不是在布農族裏的黑熊不同的部落有不同的稱呼也有Dumas也有Dumas像阿美族是Dumai阿美族叫Dumai是這樣不同的一個稱呼各族群都有不同的
transcript.whisperx[3].start 76.329
transcript.whisperx[3].end 94.146
transcript.whisperx[3].text 這個年輕的人斯巴卡他寫了一首詩黑熊是原住民生命中的一部分非常的貼切他是神話中的生命文學他被視為以人甚至比人更高一級的生命體所以這個部分這個從
transcript.whisperx[4].start 96.67
transcript.whisperx[4].end 117.563
transcript.whisperx[4].text 原住民跟這個動物野生動物之間其實上有非常多這個一個不同的一個關係好我們看這個台灣黑熊剛才有講過了我就不再講這個它是台灣唯一原產的熊類
transcript.whisperx[5].start 120.296
transcript.whisperx[5].end 130.224
transcript.whisperx[5].text 這個過去被列為濱林節種野生動物但是目前已經在台灣也有200到600隻算不算還算不算濱林節種部長
transcript.whisperx[6].start 135.08
transcript.whisperx[6].end 160.394
transcript.whisperx[6].text 在還沒有解除之前應該還是瀕臨絕種那那個現在的物種統計的情況之下它逐漸可能會變動而且我們要確定它是不是瀕臨絕種不能一個時間點看要看長期的一個監測好這個之所以黑熊會被列為瀕臨絕種主要的原因了解嗎主要的原因為什麼會越來越少
transcript.whisperx[7].start 162.255
transcript.whisperx[7].end 186.327
transcript.whisperx[7].text 以前啦 現在有比較增加了 祖先數量越來越少那越來越少他有很多種原因包括這個棲地的問題包括我想獵捕的問題可能是非常少之又少但是可能是主要是棲地不適合他的時候造成族群的一個降低 完全正確主要是棲地我們很少獵捕這個黑熊主要是棲地事實上從1932年1932年日本
transcript.whisperx[8].start 190.714
transcript.whisperx[8].end 219.414
transcript.whisperx[8].text 探險家傑川安氏的調查報告就提到土地開發導致黑熊的棲息地喪失主要是棲息地所以土地開發才是一個最重要的我之前一直也強調這個部分絕對跟不是跟原住民的狩獵有關係好我們看最近的一個情況去年
transcript.whisperx[9].start 222.296
transcript.whisperx[9].end 245.585
transcript.whisperx[9].text 11月濁西鄉石坪部落海拔200到500公尺的雞舍遭黑熊入侵了入侵400隻雞的雞受損了總共這個有5個養雞場受到受傷害然後今年的1月
transcript.whisperx[10].start 246.618
transcript.whisperx[10].end 274.491
transcript.whisperx[10].text 黑熊入侵這個養蜂場吃這個蜂蜜這個相關的這個也只有海拔這個石坪部落只有海拔317公尺這個相關的這些好今年的4月最近就這個月這個月這個部落中正濁西鄉的中正部落這個黑熊
transcript.whisperx[11].start 276.827
transcript.whisperx[11].end 300.575
transcript.whisperx[11].text 這個對我們的雞還有狗都被侵蝕所以這個部分這個相關的這些被甚至人都受到威脅了距離住家這個被拍攝到的距離住家只有50幾公尺
transcript.whisperx[12].start 302.859
transcript.whisperx[12].end 330.482
transcript.whisperx[12].text 只有50幾公尺所以對於我們的部落對我們的住家人身安全都受到很大的影響當然這些我們養的這些雞啊狗啊或是相關的這些動物都被受到嚴重的侵害所以反而現在怎麼樣我們一直講保護保護動物啊
transcript.whisperx[13].start 332.04
transcript.whisperx[13].end 358.74
transcript.whisperx[13].text 現在是以這個案例來講啊現在怎麼樣保護我們的部落啊怎麼樣保護我們的人怎麼樣保護我們的所養殖的這些對不對所以從另外一個觀點不一樣啊所以在討論這個野生動物保護法的時候確實有它的不同的地方
transcript.whisperx[14].start 360.112
transcript.whisperx[14].end 384.229
transcript.whisperx[14].text 所以這個部分當然有時候就產生一些不得不防身的地方就必須產生這些問題所以這個部分你看左溪鄉的中正部落這個海拔只有170到220公尺跟早期的1000公尺以上的棲息地
transcript.whisperx[15].start 385.08
transcript.whisperx[15].end 407.547
transcript.whisperx[15].text 已經不一樣了,所以要做不同的處理了所以這個部長,你看了之後有什麼樣的想法?我想跟委員報告,就是在濁西鄉本身的歷次的黑熊的一個入侵到部落的範圍之內不是同一隻熊,是有不同隻熊
transcript.whisperx[16].start 408.627
transcript.whisperx[16].end 432.323
transcript.whisperx[16].text 在入侵那同樣的就是說我們也非常關注就是原民部落本身的一個安全性就是有一些黑熊雖然說我們很尊重他在部落很尊重他但是必要的這些防範也是應該的所以我們透過那個生態給付的方式跟原民部落做共同的合作希望說原民部落如果發現到
transcript.whisperx[17].start 433.664
transcript.whisperx[17].end 453.401
transcript.whisperx[17].text 黑熊的中繼的時候能立即通報那我們就有專業的捕捉人員能夠前往去做相關的捕捉所以只有透過這樣的一個合作方式齁才能夠避免我們的原民部落受到一些這些野生動物的一個攻擊事實上通報是來不及啊有案例啊我們的鄉親確實是通報啦
transcript.whisperx[18].start 456.496
transcript.whisperx[18].end 475.496
transcript.whisperx[18].text 你們的人員其實是很演的我們也不能怪你們的人員所以這個部分這個機制怎麼樣去因應所以我們在談動物保護法的時候條文裡面怎麼樣去農業部也要去思考怎麼樣保護人類所以這個部分保護這些
transcript.whisperx[19].start 478.171
transcript.whisperx[19].end 489.056
transcript.whisperx[19].text 他也是動物啊 雞啊 狗啊那些也是動物啊怎麼去保護啊動物與動物之間的這個互相的侵害好不好是謝謝好 謝謝好 謝謝