L’intégration des nouveaux préposés aux bénéficiaires dans les organisations gériatriques au Québec : la santé au travail au risque des temporalités
Bibliographic record
Abstract
L’objectif de cet article est d’expliquer en quoi l’intégration des nouveaux préposés aux bénéficiaires dans les organisations gériatriques au Québec doit être considérée comme un processus problématique en termes de santé et sécurité du travail. Notre article prend appui sur les données d’une étude qualitative menée en 2012 dans deux organisations gériatriques du Québec. Nous montrons comment les nouvelles recrues apprennent à devoir respecter deux normes organisationnelles difficilement conciliables : l’une concerne le respect de la charge de travail prescrite; l’autre a trait à la qualité du travail. Nous montrons ensuite en quoi les stratégies de prudence détiennent une place majeure dans la protection des nouvelles recrues face aux risques inhérents à l’organisation. Enfin, nous référençons les causes pouvant jouer un rôle dans la fragilisation du processus de transmission de ces stratégies.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".