Maltraitance entre résidents en temps de pandémie: Effets dans les résidences privées pour aînés au Québec
Bibliographic record
Abstract
Abstract The measures implemented to limit the spread of COVID-19 affect the social relationships of the elderly. The aim of this article is to understand the effects of the pandemic on residents and resident-to-resident aggression (RRA). In total, 21 individual interviews were conducted with three groups of actors of four independent living facilities who have experienced RRA (residents) or who intervene in this type of situation (members of staff and external stakeholders). The participants reported that the pandemic has effects on residents and, specifically, on RRA. Among other things, the management and resolution of these situations have changed, and new manifestations of RRA are observed. To our knowledge, this study is the first to examine the effects of the pandemic on residents living in independent living facilities and on RRA. It raises the need to further consider residents’ voices in this context and to combine them with those of other actors to better understand how RRA manifest itself.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".