Bibliographic record
Abstract
Une approche collaborative interprofessionnelle pour réduire les cas d'abus ou de négligence (maltraitance) en centre d'hébergement pour personnes âgées : l'exigence d'une formation et professionnalisation du travail des préposés aux soins MONIQUE BENOIT, ANNE MARISE LAVOIE, & JEAN DRAGONL'âge moyen des résidents en centres d'hébergement pour personnes âgées au Canada est d'environ 85 ans et bon nombre de ces personnes souffrent de multiples affections, dont notamment, des maladies chroniques liées à des problèmes de mobilité, de mémoire et d'incontinence.La plupart des personnes hébergées dépendent entièrement du personnel des centres d'hébergement pour les activités de base de la vie quotidienne telles que se toiletter, se nourrir etc. Ces personnes sont parmi les plus vulnérables de la société aussi leur prise en charge par le personnel infirmier s'avère essentiel au maintien de leur santé, leur qualité de 1
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.043 | 0.010 |
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".