An Experimental Demonstration of Training Probation Officers in Evidence-Based Community Supervision
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
The present study evaluated a training program for probation officers based on the risk-need-responsivity (RNR) model of offender rehabilitation. A total of 80 officers were randomly assigned to either training or a no training condition. The probation officers then recruited 143 probationers and audiotaped their sessions at the beginning of supervision, 3 months later, and 6 months later. The audiotapes were coded with respect to the officers’ adherence to the RNR model. The experimental probation officers demonstrated significantly better adherence to the RNR principles, with more frequent use of cognitive-behavioral techniques to address the procriminal attitudes of their clients. Finally, the analysis of recidivism rates favored the clients of the trained officers. The findings suggest that training in the evidence-based principles of the RNR model can have an important impact on the behavior of probation officers and their clients.
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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