Factors influencing treatment team recommendations to review tribunals for forensic psychiatric patients
Bibliographic record
Abstract
It is the responsibility of forensic psychiatric hospitals to detain and treat patients, gradually reintegrating them into society; decisions to release patients must balance risk to the public with maintaining the least restrictive environment for patients. Little is known about the factors considered when making such decisions and whether these factors have been empirically linked to future risk of violence. The current study explores the factors predictive of forensic treatment teams' recommendations for patients under the care of the Ontario Review Board (ORB). Factors differ depending on level of security; decisions on medium secure units were influenced by the presence of active symptoms and patients' overall violence risk level and decisions made on minimum secure units were influenced by the number of critical incidents that occurred within the recommendation year. Understanding the factors used to make recommendations to the ORB tribunal helps treatment teams to reflect on their own decision-making practices. Furthermore, the results serve to inform us about factors that influence length of stay for forensic psychiatric patients. Copyright © 2016 John Wiley & Sons, Ltd.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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".