Chronic Violent Patients in an Inpatient Psychiatric Hospital
Bibliographic record
Abstract
This study examines the prevalence and the individual characteristics of chronically violent patients (CVPs) in a psychiatric hospital during inpatient treatment. The study is based on a 1-year follow-up investigation of all violent episodes committed by a sample of 527 patients in a forensic psychiatric hospital in British Columbia, Canada. Sociodemographic, legal and criminological, historical, and clinical factors were analyzed using a risk assessment scheme. Approximately 10% of the sample was responsible for more than 60% for all violent episodes recorded during the study period. Those CVPs were characterized by historical, but mostly clinical, risk factors. Moderate to good predictive accuracy was achieved when defining CVPs as individuals who perpetrated 15 or more violent episodes. Important limitations of the actuarial approach were also highlighted by the presence of two qualitatively different groups of CVPs. The results are discussed in light of the scientific literature on the risk management of inpatient violence.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".