Lay Perceptions of Child Pornography Offenders
Bibliographic record
Abstract
The present study examined how age and gender of the depicted minor (Study 1) and offender (Study 2) influenced university students' perceptions of the offence of possession of child pornography. A total of 492 participants rated perceived offence severity, appropriate sentence, probability of child pornography reoffence, probability of past and future sexual contact with a minor, and probability that the offender is a pedophile. In Study 1, the possession offence was rated as more severe if the depicted minor was younger, irrespective of the minor's gender. In Study 2, age and gender of the offender had no effect on perceptions of offence severity, but male offenders were considered to be at higher risk for committing a future child pornography offence. In both studies, participants rated the offence as more severe if they believed the offender was likely a pedophile. The study findings indicate a divergence between lay perceptions and the empirical evidence relating to child pornography offenders. We discuss potential implications on public policy, law, and research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".