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Record W1965381614 · doi:10.1177/0093854805276402

Sexual Arousal in Rapists

2005· article· en· W1965381614 on OpenAlexaff
Jan Looman, William L. Marshall

Bibliographic record

VenueCriminal Justice and Behavior · 2005
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsMinistry of Community Safety and Correctional Services
Fundersnot available
KeywordsPsychologySexual arousalArousalPsychopathyPoison controlDevelopmental psychologySex offensePedophiliaHuman factors and ergonomicsSocial psychologySexual abuseClinical psychologyPersonalityMedical emergencyMedicine

Abstract

fetched live from OpenAlex

This research explores the validity of phallometric assessments with rapists. The sexual responses of a group of rapists on two assessments of sexual arousal to rape depiction are compared. Data on a group of child molesters are also examined for comparison. Relationships between sexual arousal and offense history variables, psychopathy, and actuarial risk assessment scores are also examined. Rapists, as a group, do not exhibit a sexual preference for depictions of rape as opposed to depictions of consensual sex with adult females on any of the assessments. Furthermore, when men are classified as either deviant or nondeviant according to their deviance indices, there is very low agreement between stimulus sets as to group membership. No meaningful relationships are found between sexual arousal and offense-related variables, psychopathy, or risk assessment measures. Results are discussed in terms of the validity of phallometric assessments.

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)0.001
metaresearch head score (Gemma)0.008
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.053
GPT teacher head0.359
Teacher spread0.306 · 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
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

Citations31
Published2005
Admission routes1
Has abstractyes

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