Norms, Institutions and Social Learning: An Explanation for Weak Policy Integration in the WTO's Committee on Trade and Environment
Bibliographic record
Abstract
The United Nations Conference on Environment and Development (UNCED) recognized that sustainable development can only be actualized if environmental norms are integrated into other areas of policy across levels of governance. This article examines the Committee on Trade and Environment of the World Trade Organization (WTO) to answer the question of why actors' efforts to enhance the mutual supportiveness of trade and environmental norms have resulted in minimalist policy outcomes. I first introduce a framework for analyzing norms and their levels of compatibility and a social learning explanation for policy integration emphasizing the importance of normative and institutional conditions. Second, I show that low levels of both norm compatibility between UNCED and WTO and institutional capacity in the WTO for learning have contributed to weak integration. The approach contributes to constructivist theory development and the findings provide insights to policy-makers grappling with how to support the integration of norms and institutions in global governance.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".