Underreporting of Bestiality Among Juvenile Sex Offenders: Polygraph Versus Self‐Report
Bibliographic record
Abstract
Juvenile sex offenders (JSO) are a specific subset of delinquent adolescents that are receiving more attention because of the crimes they commit and the issues surrounding how to successfully treat their deviant behaviors. Given JSO are such predominant treatment concerns in society, it is essential to identify and target key risk factors. One sexual behavior, bestiality, may be of particular importance to address in treatment. In a meta-analysis conducted by Seto and Lalumiere, a 14% rate of bestiality among JSO was reported. This current study examined the differences in JSO (n = 32) who admitted bestiality based upon a self-report measure, the Multiphasic Sexual Inventory-II (MSI-II), compared to information elicited by polygraphs. The results indicated extensive underreporting of bestiality behaviors between these two sources of information (MSI-II = 37.5%; polygraph = 81.25%). These findings are important given the reliance treatment programs place on information elicited from self-report tools.
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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 | 0.007 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".