The environment and international trade negotiations : developing country stakes
Bibliographic record
Abstract
Introduction D.Tussie SECTION I: CASE-STUDIES The Case of a Renewable Natural Resource: Timber Extraction and Trade P.Saez Agriculture and the Environment in Developing Countries: The Challenge of Trade Liberalisation G.Gutman Environment-related Voluntary Market Upgrading Initiatives and International Trade: Eco-labelling Schemes and the ISO 14.000 Series P.da Motta Veiga International Pressure and Environmental Performance: The Experience of South African Exporters L.Bethlehem SECTION II: GENERAL ISSUES The International Negotiation of PPMs: Possible, Appropriate, Convenient? D.Tussie & P.Vasquez Lessons from Trade Theory for Environmental Economics P.Sen SECTION III: INTERNATIONAL ENVIRONMENTAL GOVERNANCE Global Governance and the Comparative Political Advantage of Regional Cooperation H.Hveem Trade Restrictions for the Global Environment: The Case of the Montreal Protocol J.Krueger Lessons from the Mexican Environmental Experience: First Results from NAFTA C.Schatan Regional Integration and Building Blocks: The Case of Mercosur D.Tussie & P.Vasquez Environmental Cooperation in ASEAN F.Wiebe Conclusions: The Environmental and International Trade Negotiations: Open Loops in the Developing World D.Tussie
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".