Assessing risk for violence among male and female civil psychiatric patients: the HCR‐20, PCL:SV, and VSC
Bibliographic record
Abstract
This study evaluated the predictive validity of violence risk assessments conducted using the HCR-20, the Psychopathy Checklist: Screening Version (PCL:SV), and by the Violence Screening Checklist (VSC) in a sample of 268 involuntarily hospitalized male and female psychiatric patients. Information pertaining to violence and crime was coded from medical charts and correctional records. The HCR-20/PCL:SV evidenced modest non-significant associations in postdictive assessments of inpatient violence among men. Moderate to strong significant associations were found between the HCR-20/PCL:SV and inpatient violence among women. Pseudo-prospective assessments using the HCR-20 and PCL:SV resulted in moderate to large relationships with violence and crime in men and women following community discharge. It is concluded that the VSC is a promising tool for assessing acute inpatient violence risk with men. Findings offer preliminary validation of the predictive validity of the HCR-20 and PCL:SV with female civil psychiatric patients.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".