A psychometric examination of treatment change in a multisite sample of treated Canadian federal sexual offenders.
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
In the present study, we examined the degree of change and predictive accuracy of a number of well-known psychological self-report measures intended to identify treatment targets for sexual offenders. Participants included 392 federally incarcerated sexual offenders who participated in low, moderate, or high intensity sexual offender programs offered within penitentiaries under the jurisdiction of the Correctional Service of Canada. These men were followed in the community for an average of 5.42 years postrelease. Very small to moderate pretreatment and posttreatment changes were found on measures of cognitive distortions, aggression/hostility, empathy, loneliness, social intimacy, and sex offender acceptance of responsibility. However, pretreatment and posttreatment scores on these measures frequently demonstrated weak and inconsistent relationships to sexual, violent, and general recidivism. In addition, within-treatment change on these measures bore little relationship to outcome. However, when statistically corrected for pretreatment score the relationship of treatment change to outcome frequently improved, particularly on measures of physical aggression and anger, even after controlling for Static-99R score. Clinical and research implications are discussed regarding the assessment and evaluation of change on psychological risk factors in treated sexual offenders.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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