Vers une pérennité du changement: Évaluation de l’implantation du programme <i>Ensemble pour le plaisir!</i> au sein d’organismes communautaires
Bibliographic record
Abstract
(EPLP) est un programme ayant pour objectif d'amener les personnes vivant avec un trouble neurocognitif et leur proche aidant à retrouver des moments de plaisir au sein de leur relation. Appuyé par la théorie du comportement planifié d'Ajzen, le présent article vise à analyser la démarche d'implantation du programme EPLP au sein de milieux communautaires et de soulever les facteurs d'influence menant au changement de comportement des parties prenantes. Les résultats montrent que bien que les attitudes, les normes et la notion de contrôle soient favorables à l'intention de changer le comportement, des ressources médiatrices telles que le financement et le mentorat par l'équipe de recherche sont essentielles à l'implantation pérenne du programme.
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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 | 0.008 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".