Identifying Criminogenic Needs Using the Personality Assessment Inventory With Males Who Have Sexually Offended
Bibliographic record
Abstract
The present study investigated the relationships between the scales of the Personality Assessment Inventory (PAI) and variables relevant to recidivism risk and criminogenic need to inform clinicians' use of the PAI for purposes of treatment planning and risk management. PAI profiles, risk measure and domain scores, and recidivism data were collected for 158 males who have been convicted of sexually offending. Data were analyzed to investigate whether select clinical scales of the PAI correlated with conceptually relevant domains of risk and/or recidivism. Our findings demonstrated that the antisocial scales were consistently associated with risk constructs and recidivism, while very few clinical and personality scales showed relationships with risk constructs. The PAI seems to include select scales that represent risk-related needs, but also, other scales that may be more related to responsivity issues, and therefore may have utility to address two of the risk, need, and responsivity principles.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 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".