Better support and education is imperative to bolster informal at-home carers of people with cognitive impairment and reduce incidences of involuntary treatment of older adults in their homes
Bibliographic record
Abstract
Commentary on: Moermans VRA, Bleijlevens MHC, Verbeek H, et al . The use of involuntary treatment among older adults with cognitive impairment receiving nursing care at home: a cross-sectional study. Int J Nurs Stud 2018;88:135–42. doi: 10.1016/j.ijnurstu.2018.09.004. Consent for care is a foundational principle for healthcare professionals.1 Despite this, burgeoning research has shown that cognitively impaired older adults living and receiving care at home are at risk for ‘involuntary treatment’, or care without their consent. This includes things such as physical restraints, psychotropic medication andnon-consensual care …
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".