CEU Eligible Article The Prevalence of Sexual Addiction in Incarcerated Sexual Offenders and Matched Community Nonoffenders
Bibliographic record
Abstract
Results on the prevalence of sexual addiction in incarcerated sexual offenders and socio-economically matched community samples are presented. The measure of sexual addiction was Carnes (1989) Carnes, P. 1989. Contrary to love: Helping the sexual addict, Minneapolis, MN, , U. S. A.: CompCare. [Google Scholar] Sexual Addiction Screening Test (SAST). Observed rates of sexual addiction in the socio-economically matched community males was consistently higher than predicted by Carnes' estimates of prevalence in the general population, but lower than in incarcerated sexual offenders. No significant differences were found in the prevalence of problems with sexual addiction between those sexual offenders who offended against adults versus those who offended against children.
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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 | 0.002 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".