Assessment and Modification of General Criminal Attitudes Among Men Who Have Sexually Offended
Bibliographic record
Abstract
General criminal attitudes have been well established as a dynamic risk factor for the origin, maintenance, and continuation of criminal behavior. Guided by the risk–need–responsivity (RNR) framework, this study examined self-reported change on a measure of general criminal attitudes in a sample of incarcerated men who participated in a sexual offense treatment program. Participants were administered the original version of the Criminal Sentiments Scale (CSS) and other measures at pretreatment and posttreatment and followed up in the community an average 14 years post-release. The results demonstrated that CSS total and subscale scores predicted general and violent recidivism, showed convergence with actuarial measures of criminogenic need, and had clinically meaningful associations with responsivity considerations. Pre–post changes on the CSS were associated with decreased general and violent recidivism controlling for pretreatment score and baseline risk. Implications for forensic assessment and correctional intervention 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 | 0.000 | 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 | 0.000 |
| 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 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".