Impact of the WHO FCTC on tobacco control: perspectives from stakeholders in 12 countries
Bibliographic record
Abstract
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.
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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 | 0.028 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".