The validity of the Violence Risk Scale (VRS) in a Portuguese sample of remand prisoners
Bibliographic record
Abstract
This study aims to test the psychometric properties of the Violent Risk Scale (VRS) in a sample of Portuguese remand prisoners. A total of 133 subjects participated in the present study. We carried out a Confirmatory Factor Analysis (CFA) to test the originally proposed two factor structure. Results showed evidence to support the VRS's psychometric qualities. The CFA tested the two-factor structure and showed evidence of the goodness of fit of the original two-factor model. Also, our findings indicated acceptable internal consistency for both subscales. The correlational analyses supported both convergent and discriminant validity of the VRS. Finally, this study also tested known-groups validity. The VRS score showed a satisfactory postdictive accuracy, which means that it is able to demonstrate distinctive scores for groups known to vary on the variables being measured. We consider this work represents an essential support for decision-makers to evaluate the appropriateness of different judicial measures.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".