Measuring Parole Officer Competencies to Advance Core Correctional Practice
Bibliographic record
Abstract
In three studies, the current research began to address the paucity of research in the area of parole officer characteristics, namely attitudes values, and competencies.To this end, the Parole Officer Competency Survey (POCS) was developed.In Study 1, the psychometric properties of the POCS were examined.Studies 2 and 3 assessed POCS and subscale scores in relations to two separate samples, one Canadian (N= 69), and one American (N = 94), with the intent of developing a normative competency profile.While findings did lead to the establishment of preliminary competency profiles, significant variability between survey scores and most sample demographic variables was not detected.Results from Study 1 demonstrated that the survey in its current form did not demonstrate adequate reliability and internal consistency, and could not be factoranalyzed, thus precluding further scale refinement through factor analysis.Despite limitations, findings did suggest promising directions for future research.
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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 | 0.007 | 0.026 |
| 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 | 0.001 |
| 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".