Politique institutionnelle de lutte contre le tabagisme
Bibliographic record
Abstract
Politique institutionnelle de lutte contre le tabagisme 17.11.29.08 PrambuleLe Cgep de Sherbrooke s'inscrit rsolument dans le dveloppement de saines habitudes de vie afin de favoriser la sant, la scurit et le mieux-tre de tous les membres de la communaut collgiale.Il souhaite ainsi offrir ses membres un environnement sain, sans fume et propice l'abandon du tabagisme.Ainsi, par ses actions, il veut contribuer la lutte contre le tabagisme, qui demeure une priorit de sant publique au Qubec.La prsente politique encadre ses interventions en matire de lutte au tabagisme. Objectifs de la politique tablir les principes directeurs sur lesquels reposent les actions de lutte au tabagisme du Cgep visant protger la sant des membres de la communaut collgiale. Dterminer les rles et responsabilits des diffrents intervenants et intervenantes du Cgep et de ses partenaires en matire de lutte contre le tabagisme. S'assurer que les dispositions lgislatives et rglementaires en la matire soient respectes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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; both teacher heads agree on what is shown here.
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".