Use of Dynamic Risk/Need Assessment Instruments Among Long-Term Incarcerated Offenders
Bibliographic record
Abstract
Dynamic risk/need assessment instruments are useful tools in the effective treatment and management of offenders. The Level of Service Inventory-Revised (LSI-R) is a dynamic risk/need assessment instrument that has been used extensively among a variety of offender samples. Although considerable research has shown that the instrument is valid and reliable, there is a lack of information on the predictive validity of the instrument among longer term offenders. In the current study the LSI-R was completed on a sample of 129 Canadian federally incarcerated offenders serving a mean sentence length of 5 years. Scores on the LSI-R were compared to various recidivism criteria during a 15-month follow-up period. Results indicated the instrument had acceptable reliability and predictive validity and distinguished recidivists from nonrecidivists. Results are discussed within the context of the assessment and treatment of longer term offenders.
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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 | 0.000 | 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".