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Record W1982656834 · doi:10.2471/blt.06.037413

Trade policy and health: from conflicting interests to policy coherence

2007· article· en· W1982656834 on OpenAlexaff
Chantal Blouin

Bibliographic record

VenueBulletin of the World Health Organization · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsThe North South Institute
Fundersnot available
KeywordsHealth policyHealth promotionEconomic shortageBusinessProcess (computing)Public healthPublic relationsPolitical scienceMedicineNursingGovernment (linguistics)

Abstract

fetched live from OpenAlex

Policy incoherence at the interface between trade policy and health can take many forms, such as international trade commitments that strengthen protection of pharmaceutical patents, or promotion of health tourism that exacerbates the shortage of physicians in rural areas. Focusing on the national policy-making process, we make recommendations regarding five conditions that are necessary, but not sufficient, to ensure that international trade policies are coherent with national health objectives. These conditions are: space for dialogue and joint fact-finding; leadership by ministries of health; institutional mechanisms for coordination; meaningful engagement with stakeholders; and a strong evidence base.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.153
metaresearch head score (Gemma)0.236
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.153
Threshold uncertainty score0.807

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1530.236
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.009
Science and technology studies0.0110.073
Scholarly communication0.0580.048
Open science0.0030.022
Research integrity0.0170.019
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.035
GPT teacher head0.345
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations54
Published2007
Admission routes1
Has abstractyes

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