The Use of Pornography during the Commission of Sexual Offenses
Bibliographic record
Abstract
The goal of this study was to examine the use of pornographic materials by sex offenders during the commission of their crimes. A sample of 561 sex offenders was examined. There were 181 offenders against children, 144 offenders against adults, 223 incest offenders, 8 exhibitionists, and 5 miscellaneous cases. All but four cases were men. A total of 96 (17%) offenders had used pornography at the time of their offenses. More offenders against children than against adults used pornography in the offenses. Of the users, 55% showed pornographic materials to their victims and 36% took pictures, mostly of child victims. Nine cases were involved in the distribution of pornography. Results showed that pornography plays only a minor role in the commission of sexual offenses, however the current findings raise a major concern that pornography use in the commission of sexual crimes primarily involved child victims.
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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 | 0.001 |
| 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 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".