Entre proximité et distance : le bénévolat dans un milieu de réadaptation
Bibliographic record
Abstract
Les transformations récentes du bénévolat ont conduit une équipe de recherche à mener une étude portant sur l’ancrage du bénévolat au sein d’un établissement de réadaptation en déficience physique. L’étude avait pour objectif de mieux comprendre les fondements sur lesquels s’appuie l’action bénévole dans cet établissement de même que les fonctions et la place qu’occupent les bénévoles dans les programmes. L’analyse des données récoltées dans le cadre de cette recherche a fait ressortir l’importance de conserver un équilibre entre la neutralité thérapeutique et la proximité affective des bénévoles de même qu’entre l’espace clinique et relationnel qu’ils occupent. Des pistes d’actions sont suggérées afin de conserver cet équilibre central à l’engagement libre et pertinent des bénévoles impliqués dans le milieu de la réadaptation.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.016 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".