Applying Risk/Need Assessment to Probation Practice and its Impact on the Recidivism of Young Offenders
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Evaluating the extent to which case management practices are guided by risk/need assessment is important because the impact of the assessment process will not be realized if the instrument is not applied as fully intended. This study investigated whether risk/need assessment is linked to the case management of young offenders and whether adherence to the principles of risk, need, and responsivity, as part of the case management plan, is related to recidivism. Data were collected on a sample of 192 young offenders. The Level of Service Inventory–Saskatchewan Youth Edition (LSI-SK) total score and seven of the eight subscale scores were positively correlated with recidivism. Generally, the LSI-SK was used to inform supervision intensity and interventions toward criminogenic needs. Moreover, adherence to the need principle was associated with reductions in recidivism. Implications for case management and direction for future research 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 | 0.001 | 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 | 0.000 |
| 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