Evolving Norms at the Intersection of Health and Trade
Bibliographic record
Abstract
There has been growing tension at the intersection of health and economic policy making as global governance has increased across sectors. This tension has been particularly evident between tobacco control and trade policy, as the international norms that frame them -- particularly the Framework Convention on Tobacco Control and the World Trade Organization (WTO) -- have continued to institutionalize. Using five case studies of major tobacco-related trade disputes from the principal multilateral system of trade governance -- the WTO/General Agreement on Tariffs and Trade -- we trace the evolution of these interacting norms over nearly twenty-five years. Our analytic framework focuses on the actors that advance, defend, and challenge these norms. We find that an increasingly broad network, which includes governments, intergovernmental organizations, nongovernmental organizations, and members of the epistemic community, is playing a more active role in seeking to resolve these tensions. Moreover, key economic actors are beginning to incorporate health more actively into their messaging and activities. We also demonstrate that the most recent resonant messages reflect a more nuanced integration of the two norms. The tobacco control example has direct relevance to related policy areas, including environment, safety, access to medicines, diet, and alcohol.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| 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".