Factors influencing decisions on seclusion and restraint
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Seclusion with or without restraint is a measure for managing aggressive or agitated clients and promoting site security, particularly in an emergency psychiatric setting. The decision to control a potentially dangerous person's behaviour by removal or seclusion seems ethically justifiable in such a setting. However, although the decisions on these restrictive measures are based on rational needs, they are also influenced by the healthcare team's perceptions of the client and by the characteristics of the team and the environment. The purpose of this paper is to set out and categorize the factors in play in aggression- and agitation-management situations as perceived by the healthcare teams, particularly the nurses. The first part of the paper deals briefly with the settings in which control measures are applied in a province in eastern Canada and the effect of such measures on patients and healthcare teams. The second part identifies the factors involved in the management of agitation and aggression behaviour. The final part discusses the current spin-offs from this knowledge as well as promising paths for further research on the factors involved. The ultimate objective is to reduce recourse to coercive measures and enhance professional practices.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it