Correlates of admitted sexual interest in children among individuals convicted of child pornography offenses.
Why this work is in the frame
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Bibliographic record
Abstract
Recent research on a risk assessment tool for child pornography offending suggests that admission of sexual interest in children is a risk factor for any sexual recidivism. Admission is easily vulnerable to lying, however, or to refusals to respond when asked about sexual interests. This may become a particular issue when individuals are concerned about the potential impact of admission of sexual interest on sentencing and other risk-related decisions. In this study, we identified the following behavioral correlates (coded yes/no) of admission of sexual interest in children in the risk tool development sample of 286 men convicted of child pornography offenses: (a) never married (54% of sample), (b) child pornography content included child sexual abuse videos (64%), (c) child pornography content included sex stories involving children (31%), (d) evidence of interest in child pornography spanned 2 or more years (55%), (e) volunteered in a role with high access to children (7%), and (f) engaged in online sexual communication with a minor or officer posing as a minor (10%). When summed, the average score on this Correlates of Admission of Sexual Interest in Children (CASIC) measure was 2.21 (SD = 1.22, range 0-6) out of a possible 6, and the CASIC score was significantly associated with admission of sexual interest in children, area under the curve (AUC) = .71, 95% CI [ .65, .77]. The CASIC had a stronger relationship with admission in a small cross-validation sample of 60 child pornography offenders, AUC = .81, 95% CI [.68, .95]. CASIC scores may substitute for admission of sexual interest in risk assessment involving those with child pornography offenses. (PsycINFO Database Record
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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