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Record W2594114742 · doi:10.1186/s12992-017-0234-8

Controlling corporate influence in health policy making? An assessment of the implementation of article 5.3 of the World Health Organization framework convention on tobacco control

2017· article· en· W2594114742 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGlobalization and Health · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsSimon Fraser University
FundersNational Institutes of HealthNational Cancer InstituteFoundation for the National Institutes of Health
KeywordsTobacco controlConventionTobacco industryHealth policyPublic relationsPublic healthSocial policyCorporate governanceHealth services researchPublic administrationPolitical scienceMedicineLawEconomicsManagementNursing

Abstract

fetched live from OpenAlex

BACKGROUND: The World Health Organization (WHO) Framework Convention on Tobacco Control (FCTC) stands to significantly reduce tobacco-related mortality by accelerating the introduction of evidence-based tobacco control measures. However, the extent to which States Parties have implemented the Convention varies considerably. Article 5.3 of the FCTC, is intended to insulate policy-making from the tobacco industry's political influence, and aims to address barriers to strong implementation of the Convention associated with tobacco industry political activity. This paper quantitatively assesses implementation of Article 5.3's Guidelines for Implementation, evaluates the strength of Parties' efforts to implement specific recommendations, and explores how different approaches to implementation expose the policy process to continuing industry influence. METHODS: We cross-referenced a broad range of documentary data (including FCTC Party reports and World Bank data on the governance of conflicts of interest in public administration) against Article 5.3 implementation guidelines (n = 24) for 155 Parties, and performed an in-depth thematic analysis to examine the strength of implementation for specific recommendations. RESULTS: Across all Parties, 16% of guideline recommendations reviewed have been implemented. Eighty-three percent of Parties that have taken some action under Article 5.3 have introduced less than a third of the guidelines. Most compliance with the guidelines is achieved through pre-existing policy instruments introduced independently of the FCTC, which rarely cover all relevant policy actors and fall short of the guideline recommendations. Measures introduced in response to the FCTC are typically restricted to health ministries and not explicit about third parties acting on behalf of the industry. Parties systematically overlook recommendations that facilitate industry monitoring. CONCLUSION: Highly selective and incomplete implementation of specific guideline recommendations facilitates extensive ongoing opportunities for industry policy influence. Stronger commitment to implementation is required to ensure consistently strong compliance with the FCTC internationally.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.940

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.041
GPT teacher head0.428
Teacher spread0.387 · 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