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Record W2060021028 · doi:10.1111/1556-4029.12332

Underreporting of Bestiality Among Juvenile Sex Offenders: Polygraph Versus Self‐Report

2014· article· en· W2060021028 on OpenAlexaff
Allison M. Schenk, Christi Cooper‐Lehki, Colleen M. Keelan, William J. Fremouw

Bibliographic record

VenueJournal of Forensic Sciences · 2014
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsMount Allison University
Fundersnot available
KeywordsPolygraphCommitPsychologyJuvenile delinquencyCriminologyComputer scienceSocial psychologyDatabase

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.057
GPT teacher head0.355
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations24
Published2014
Admission routes1
Has abstractyes

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