Validity and reliability of the Violence Risk Scale–Sexual Offense version in a community sexual offense outpatient setting.
Bibliographic record
Abstract
The present study examined the convergent, structural, and predictive properties of Violence Risk Scale-Sexual Offense version (VRS-SO) scores in a sample of 200 men on community supervision for sexual offenses, attending forensic community outpatient services and followed up an average 8.6 years. The VRS-SO and two additional dynamic sexual recidivism risk measures-STABLE 2007 and Sex Offender Treatment Intervention and Progress Scale (SOTIPS)-were coded archivally from clinic files; Static-99R ratings were extracted. Recidivism data were captured from Royal Canadian Mounted Police records. VRS-SO static, dynamic, and total scores demonstrated expected patterns of convergence with total and subscale scores of the risk measures. Moreover, a confirmatory factor analysis of the VRS-SO dynamic item scores demonstrated acceptable model fit for a correlated three-factor solution consistent with prior confirmatory factor analyses. Discrimination analyses demonstrated that VRS-SO dynamic and total scores and STABLE 2007 scores had large prediction effects for 5-year sexual recidivism (area under the curves [AUCs] = .71-.72) while SOTIPS had a medium effect for this outcome (AUC = .67); the measures yielded medium to large effects for nonsexual recidivism. Cox regression survival analyses demonstrated that VRS-SO dynamic, Sexual Deviance factor, and SOTIPS scores each incrementally predicted sexual recidivism controlling for Static-99R or VRS-SO static factor scores. VRS-SO calibration analyses demonstrated that expected or predicted 5-year sexual recidivism rates showed generally close correspondence to the rates predicted or observed in the present community sample. Results support the psychometric properties of the VRS-SO, a sexual violence risk assessment and treatment planning measure, to a community outpatient sample. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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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 | 0.004 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".