The Predictive Validity of the Level of Service Inventory-Ontario Revision on General and Violent Recidivism among Various Offender Groups
Why this work is in the frame
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Bibliographic record
Abstract
The Level of Service Inventory-Ontario Revision (LSI-OR) is the most recent edition of a popular risk/need assessment tool designed to predict recidivism among offenders. The current investigation ( N = 630) examined the predictive validity of the Level of Service Inventory-Ontario Revision, its various subscales, and a Specific Risk/Need section designed to predict violent recidivism. Inmates scored significantly higher on all scales and were more likely to recidivate than probationers during a 31-month follow-up. The General Risk/Need score correlated highly with general recidivism and, to a lesser extent, with violent recidivism. It also produced similar predictive correlations among subgroups of sexual offenders, domestic violence offenders, and offenders with mental health problems. The Specific Risk/Need scale produced a slightly higher correlation with violent recidivism. The theoretical implications of these findings and practical value of this modified instrument are discussed.
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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 | 0.000 | 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 it