The Self-appraisal Questionnaire: A Self-report Measure for Predicting Recidivism Versus Clinician-administered Measures: a 5-year Follow-up Study
Bibliographic record
Abstract
In this study, the effectiveness of the Self-Appraisal Questionnaire (SAQ), a self-report measure for predicting release outcome, is examined as compared to clinician-administered and widely used risk prediction measures, over a 5-year period. The SAQ was administered along with four similar, but clinician-administered, measures to 91 federally sentenced Canadian male offenders prior to their release to the community. Follow-up data were collected for a 60-month period. Outcome criteria measures were violent and general recidivism. Results indicated that the SAQ is at least as effective as the four other measures in predicting postrelease outcome. The advantages of using the SAQ as a self-report measure as opposed to clinician-administered measures are discussed.
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".