A cross-validation of the Violence Risk Appraisal Guide—Revised (VRAG–R) within a correctional sample.
Bibliographic record
Abstract
The Violence Risk Appraisal Guide-Revised (VRAG-R) was developed to replace the original VRAG based on an updated and larger sample with an extended follow-up period. Using a sample of 120 adult male correctional offenders, the current study examined the interrater reliability and predictive and comparative validity of the VRAG-R to the VRAG, the Psychopathy Checklist-Revised, the Statistical Information on Recidivism-Revised, and the Two-Tiered Violence Risk Estimate over a follow-up period of up to 22 years postrelease. The VRAG-R achieved moderate levels of predictive validity for both general and violent recidivism that was sustained over time as evidenced by time-dependent area under the curve (AUC) analysis. Further, moderate predictive validity was evident when the Antisociality item was both removed and then subsequently replaced with a substitute measure of antisociality. Results of the individual item analyses for the VRAG and VRAG-R revealed that only a small number of items are significant predictors of violent recidivism. The results of this study have implications for the application of the VRAG-R to the assessment of violent recidivism among correctional offenders. (PsycINFO Database Record
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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 | 0.000 | 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 | 0.001 | 0.001 |
| 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".