La Convention-cadre pour la lutte anti-tabac : espoir pour l'Afrique ?
Bibliographic record
Abstract
African countries have a lot to gain from the first international public health treaty. The Framework Convention on Tobacco Control (FCTC) was adopted in May 2003 by 168 member countries at the World Health Assembly. The African delegation demonstrated and put forth a strong, united front throughout the series of sessions which comprised the negotiation process. There are a number of considerable obstacles and challenges particular to this region of the world which makes it difficult to put tobacco control on the African agenda. Only a solid civil society mobilisation movement could serve as a worthy adversary to take on such a challenge. NGOs, such as the Framework Convention Alliance, provide assistance and should continue to support the activities of some of the key players who are still working in isolation on the continent. These organisations can also play a vital role by continuing to favour the provision of access to the available data and information which only exists in English so that the language barrier no longer remains a hindrance to the protection of the health of citizens in Francophone African countries.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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".