Le savant et le politique. La prise de décision en temps de pandémie : que s’est-il passé au Québec (Canada) ?
Bibliographic record
Abstract
Cet article n’est pas le fruit d’une recherche scientifique, mais plutôt celui d’une recherche action reposant sur une expérience de sous-ministre de la Santé du Canada de 1993 à 1998. À partir d’événements vécus à ce poste, il tente de tirer un bilan des rapports entre la haute fonction publique, les scientifiques, les décideurs politiques et la population dans des périodes de crises durant lesquelles la prise de décisions doit se prendre dans l’urgence, la peur, et fréquemment, l’incertitude des données scientifiques souvent contradictoires, étant donné que la science avance et se modifie au jour le jour. Enfin, il examine particulièrement comment les rapports entre le savant et le politique se sont joués au Québec durant l’actuelle pandémie et suggère quelques pistes de travail pour le futur.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".