What is Correctional About Clinical Practice in Corrections?
Bibliographic record
Abstract
It is clear that adequate academic and continuing education/training for correctional mental health professionals is imperative if their practice is to be effective. To help shape such training, the clinical and correctional knowledge ranked most meaningful and relevant by psychologists practicing in federal prisons is determined. Overall, results suggest nine core bodies of knowledge representing a mix of clinical (e.g., psychopathology, suicide prevention, psychopharmacology) and prison-based domains (e.g., interdepartmental communications, safety, confrontation avoidance) form the heart of their work. In terms of where such knowledge was obtained, graduate school is frequently endorsed for the more clinical domains, but the correctional domains are transmitted namely through on-the-job training. Recommendations for training psychologists to practice in corrections include the development of a two-tiered training strategy that offers a curriculum in basic psychological knowledge unique to corrections and an advanced curriculum that builds on foundational clinical knowledge obtained in graduate school.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".