Programme d’été sur le vieillissement de l’Institut du vieillissement des Instituts de Recherche en Santé du Canada : trois pistes de réflexion de participants du Québec
Bibliographic record
Abstract
Chaque année, les Instituts de recherche en santé du Canada (IRSC) subventionnent le Programme d'été sur le vieillissement (PEV). Cette année, la semaine de formation qui rassemblait des étudiants canadiens de tous les cycles supérieurs avait pour thème la recherche multidisciplinaire au quatrième âge. Cette note de recherche présente trois éléments de réflexion de deux participants de l'édition 2023 du PEV : 1) les enjeux liés au vieillissement sont des occasions de transformer les paradigmes de la recherche; 2) la recherche collaborative doit être sociétale, et s'étendre au-delà du cercle restreint des milieux universitaires; 3) les critères d'équité, de diversité et d'inclusion intégrés aux projets de recherche doivent se refléter au sein des organisations qui mènent la recherche.
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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 | 0.024 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.008 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.013 | 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".