Evaluation of a Violence Risk (Threat) Assessment Training Program for Police and Other Criminal Justice Professionals
Bibliographic record
Abstract
Although a great deal of research has focused on the development and validation of violence risk (threat) assessment instruments, few studies have examined whether professionals can be trained to use these instruments. The present study evaluated the impact of a violence risk assessment training program on the knowledge, skills, and attitudes of 73 criminal justice professionals, including police officers, civilian support staff, and prosecutors. The program covered principles of violence risk assessment, the nature of mental disorder and its association with violence risk, and the use of various structured professional judgment (SPJ) risk assessment instruments. Comparisons of pre- and post-training evaluations indicated significant improvements on measures of knowledge about risk assessment, skills in the analysis of risk in a case vignette, and perceived confidence in conducting violence risk assessments. Findings support the utility of risk assessment training for criminal justice professionals and the utility of SPJ violence risk assessment instruments generally.
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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 | 0.002 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".