When evidence isn’t enough: Ideological, institutional, and interest-based constraints on achieving trade and health policy coherence
Bibliographic record
Abstract
Trade and investment policy has the capacity to support or undermine global action on rising noncommunicable disease (NCD) rates. This article will employ a political science approach to explore how ideology, institutions and interests within the trade and investment policy space may constrain policy recommendations made in the World Health Organization’s Global Action Plan (GAP) on NCDs. Specifically, it details how neoliberal ideology may constrain public health values, how the new constitutionalism may constrain public health legitimacy and how disparities in money, power and resources between elite economic actors and public policy actors may constrain the capacity of public health to influence trade and investment agreement negotiations. The implications of these constraints on the implementation of the GAP-NCDs are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.337 | 0.417 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.012 | 0.078 |
| Scholarly communication | 0.049 | 0.036 |
| Open science | 0.005 | 0.022 |
| Research integrity | 0.018 | 0.025 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".