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Record W2139396496 · doi:10.1177/1524838012462244

Attitudes Supportive of Sexual Offending Predict Recidivism

2012· review· en· W2139396496 on OpenAlexafffund
L. Maaike Helmus, R. Karl Hanson, Kelly M. Babchishin, Ruth E. Mann

Bibliographic record

VenueTrauma Violence & Abuse · 2012
Typereview
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsPublic Safety CanadaCarleton University
FundersUniversity of Ottawa
KeywordsRecidivismPsychologySex offenderSex offenseHuman factors and ergonomicsPoison controlSuicide preventionInjury preventionClinical psychologyRisk assessmentPsychiatrySexual abuseMedical emergencyMedicineComputer security

Abstract

fetched live from OpenAlex

Attitudes supportive of sexual offending figure prominently in theories of sexual offending, as well as in contemporary assessment and treatment practices with sex offenders. Based on 46 samples (n = 13,782), this meta-analysis found that attitudes supportive of sexual offending had a small, yet reasonably consistent, relationship with sexual recidivism (Cohen's d = .22). To the extent that differences were observed, attitudes predicted recidivism better for child molesters than for rapists. There was no difference in the predictive accuracy of attitudes assessed at pretreatment or at posttreatment. The current study indicates that attitudes supportive of sexual offending is a psychologically meaningful risk factor for sex offenders. However, given that many different constructs have been designated as sex offender attitudes, further research and theory is needed to understand how these various constructs contribute to recidivism.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.118
GPT teacher head0.394
Teacher spread0.276 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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

Citations167
Published2012
Admission routes2
Has abstractyes

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