A review of violent incidents in a multilevel secure forensic psychiatric hospital: is there a seasonal variation?
Bibliographic record
Abstract
There have been several attempts made to reduce the occurrence of violence in hospital settings, with most professional organizations taking a stance. The impact of violent incidence on the therapeutic environment and the cost in human terms led to the declaration by the World Health Organization that violence is a public health problem. There are strategies for reducing violence that flow out of known trends. We sought to examine the trends in institutional violence in a contextual sense. We reviewed the records of all incidents of violence, categorized by severity, victims and trends over five years in a multilevel secure forensic hospital in Canada. The rate of violence perpetrated by female patients was significantly higher than for male patients. Higher occurrence of violence was recorded in the winter months compared with any other season and was related to unstructured activities. There is a window of opportunity to develop some engaging programmes during the long winter months and improve supervision at all times of unstructured activity. The reasons for increased women perpetration and the winter peak of violence require further investigation.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".