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Impact of the WHO FCTC on tobacco control: perspectives from stakeholders in 12 countries

2019· article· en· W2947247012 on OpenAlexafffund
Lorraine Craig, Geoffrey T. Fong, Janet Chung‐Hall, Pekka Puska

Bibliographic record

VenueTobacco Control · 2019
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsPublic Health OntarioOntario Institute for Cancer ResearchUniversity of Waterloo
FundersCanadian Institutes of Health ResearchHealth CanadaOntario Institute for Cancer Research
KeywordsTobacco controlLegislatureTreatyPolitical scienceTobacco industryStakeholderBusinessEnvironmental healthPublic administrationPublic relationsPublic healthMedicineLaw

Abstract

fetched live from OpenAlex

BACKGROUND: The WHO Framework Convention on Tobacco Control (WHO FCTC), the first WHO treaty, entered into force in 2005. In April 2015, a seven-member independent expert group (EG) was established by a decision of the FCTC Conference of the Parties to assess the impact of the Treaty in its first decade.One component of the EG's methodology was to gather evidence on WHO FCTC impact from Parties themselves. This paper presents findings from 12 country missions on how the FCTC impacted progress on tobacco control. METHODS: Between November 2015 and May 2016, EG members conducted missions in 12 countries representing each of the six WHO regions and the four World Bank economic development levels. In each country, the EG interviewed a broad range of stakeholders to assess the extent to which the FCTC had contributed to tobacco control. The primary objective was to assess whether tobacco control measures would have been developed or passed, or implemented at all, or as quickly, if there had been no FCTC. Through this counterfactual inquiry, the EG sought to determine the FCTC's causal role. CONCLUSION: The FCTC was reported to have made contributions along the entire policy/regulation process: the development of a measure, building legislative and political support for a measure and its implementation. These stakeholder perspectives support the conclusion that the FCTC has played a pivotal role in accelerating and strengthening the implementation of tobacco control measures, although tobacco industry interference continues to be a significant obstacle to further advancement.

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 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)0.000
metaresearch head score (Gemma)0.000
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 score0.010
Threshold uncertainty score0.928

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.285
Teacher spread0.260 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations49
Published2019
Admission routes2
Has abstractyes

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