Battre les maladies non transmissibles de manière équitable – soyons sérieux
Bibliographic record
Abstract
les Nations unies accueilleront une nouvelle Réunion de haut niveau sur les maladies non transmissibles (MNT).Dans le cadre de la préparation de cet événement, l'UIPES a adopté un énoncé de position intitulé : Battre les MNT de manière équitable : ce dont le système pour la promotion de la santé et la prévention primaire a besoin en dix points.Notre énoncé reflète un grave sujet de préoccupation, à savoir que si nous voulons que la promotion de la santé ait un impact sur la prévention et le contrôle des MNT, alors il est essentiel de la considérer comme un système et d'investir dans celui-ci de manière appropriée et durable.Voici ce dont ce système a besoin, en dix points :
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
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".