Case planning and recidivism of high risk and violent adult probationers
Bibliographic record
Abstract
This research examined the relationship between case planning indicators and recidivism for a sample of medium and high risk Canadian probationers sampled from two separate probation offices operating under the same policies and standards. A scale that measured completeness of case planning based on an evidence-based, outcome-focused case planning model called Community Safety Planning, revealed significant differences in case planning completeness between the samples with the probation office reporting higher levels of completeness demonstrating significantly lower levels of recidivism. This effect was also observed when investigating the entire sample; high-risk probationers with more complete case plans had 52 per cent less recidivism than high-risk probationers with less complete case plans. The nature of communication between probation and police services on an individual case basis was also examined in an effort to better understand how these partnerships are currently functioning, and whether there is opportunity to improve the strategic nature of the communication to achieve the common goal of community safety. Implications for best practices in case management with offender populations are offered.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".