L'engagement social en tant que saine habitude de vie
Bibliographic record
Abstract
Ce guide vise à présenter les modes de fonctionnement et les effets positifs de l’engagement social sur la santé physique, mentale et sociale, avec une attention particulière aux capacités et aux limites des personnes engagées. Il s’appuie sur les résultats de recherches scientifiques montrant que diverses formes d’engagement social (ex. : bénévolat, don d’argent, don de biens) permettent aux individus d’améliorer leur santé globale et leur bien-être. Ces effets se traduisent notamment par la prévention de certaines maladies chroniques, la réduction du risque de mortalité et, plus largement, l’amélioration de la qualité de vie. Comment citer ce document": Nkuindja, L. J., Ahehehinnou, P. C., & Drapeau, V. (2025). L’engagement social en tant que saine habitude de vie. Chaire de leadership en enseignement sur l’engagement social, Université Laval. https://zenodo.org/records/17408925
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 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".