〈Articles〉Conclusion of the "Trans-Pacific Partnership (TPP)" Negotiations and reactions from Malaysia and Vietnam
Bibliographic record
Abstract
[概要] 2015年10月， TPP 交渉の大筋合意が発表された。World Bank [2016]によるとマレーシアとベトナムの両国は TPP 参加により最も利益を受ける国であるとされている。しかしながら，両国は，井出[2014b]でも指摘したように，国有もしくは公企業の役割と位置づけの大きさ，政府調達における国内企業ヘの優先的な配分，市場開放が十分にされていない分野の存在など， TPP参加に伴う国内制度ヘの影響も大きい。本稿では， TPP交渉ヘの参加とその大筋合意を受け，両国国内でどのような影響が予想されているのか，またそれに対してどのような反応が起きているのか，メディア等の報道状況ならびに現地の反対運動の状況，政府の影響分析調査などを基に考察する。 [Abstract] The Trans-Pacific Partnership (TPP) is a comprehensive regional free trade agreement (FTA) among 12 countries: Australia, Brunei, Canada, Chile, Japan, Malaysia, Mexico, New Zealand, Peru, Singapore, the United States, and Vietnam. According to World Bank [2016], Malaysia and Vietnam would be among the TPP member countries benefiting most. However, TPP has also significant impact to the local industries or development policies in Malaysia and Vietnam. This paper examines the conclusion of TPP Negotiations and reactions in both countries from local media, government studies, and "Anti-TPPA" movement.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".