Examining the criminal history and future offending of child pornography offenders: An extended prospective follow-up study.
Why this work is in the frame
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Bibliographic record
Abstract
We examined police occurrence and criminal records data for a sample of 201 registered male child pornography offenders originally reported by Seto and Eke (Sex Abus J Res Treat 17:201-210, 2005), extending the average follow-up time for this sample to 5.9 years. In addition, we obtained the same data for another 340 offenders, increasing our full sample to 541 men, with a total average follow-up of 4.1 years. In the extended follow-up of the original sample, 34% of offenders had new charges for any type of reoffense, with 6% charged with a contact sexual offense against a child and an additional 3% charged with historical contact sex offenses (i.e., previously undetected offenses). For the full sample, there was a 32% any recidivism rate; 4% of offenders were charged with new contact sex offences, an additional 2% of offenders were charged with historical contact sex offenses and 7% of offenders were charged with a new child pornography offense. Predictors of new violent (including sexual contact) offending were prior offense history, including violent history, and younger offender age. Approximately a quarter of the sample was sanctioned for a failure on conditional release; in half of these failures, the offenders were in contact with children or used the internet, often to access pornography again.
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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 | 0.000 | 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 it