Bibliographic record
Abstract
Qu’entend-on par santé publique ? Quel est le champ de pratique dévolu à la santé publique au sein du réseau de la santé au Québec ? Quelles en sont les composantes structurelles et organisationnelles ? De quelle façon la récente réforme menée par le ministère de la Santé affecte-t-elle ce réseau et ses interventions ? L’auteure tente ici de répondre à ces questions tout en développant la spécificité du soutien documentaire requis par cette composante majeure du système de santé québécois. La multidisciplinarité et l’intersectorisation y sont évoquées afin de rendre compte de la complexité et de l’étendue du champ documentaire à couvrir par les documentalistes de ce secteur d’activité. Enfin, l’auteure présente de façon plus spécifique la banque de données SANTÉCOM, spécialisée en santé publique.
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 | 0.015 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.017 | 0.034 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.027 | 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".