Politique institutionnelle de lutte contre le tabagisme
Bibliographic record
Abstract
Politique institutionnelle de lutte contre le tabagisme 17.11.29.08 PréambuleLe Cégep de Sherbrooke s'inscrit résolument dans le développement de saines habitudes de vie afin de favoriser la santé, la sécurité et le mieux-être de tous les membres de la communauté collégiale.Il souhaite ainsi offrir à ses membres un environnement sain, sans fumée et propice à l'abandon du tabagisme.Ainsi, par ses actions, il veut contribuer à la lutte contre le tabagisme, qui demeure une priorité de santé publique au Québec.La présente politique encadre ses interventions en matière de lutte au tabagisme. Objectifs de la politique Établir les principes directeurs sur lesquels reposent les actions de lutte au tabagisme du Cégep visant à protéger la santé des membres de la communauté collégiale. Déterminer les rôles et responsabilités des différents intervenants et intervenantes du Cégep et de ses partenaires en matière de lutte contre le tabagisme. S'assurer que les dispositions législatives et réglementaires en la matière soient respectées.
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 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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.070 | 0.006 |
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".