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Record W2151071412 · doi:10.1177/0306624x12437536

Sexual Sadism in the Context of Rape and Sexual Homicide

2012· article· en· W2151071412 on OpenAlexaffabout
Jay Healey, Patrick Lussier, Éric Beauregard

Bibliographic record

VenueInternational Journal of Offender Therapy and Comparative Criminology · 2012
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPsychologyContext (archaeology)Poison controlHomicideSex offenseSuicide preventionInjury preventionCriminologyClinical psychologySexual abuseMedical emergencyMedicine

Abstract

fetched live from OpenAlex

This study investigates the convergent and predictive validity of behavioral crime scene indicators of sexual sadism in the context of rape and sexual homicide. The study is based on a sample of 268 adult males sentenced to a federal penitentiary in Canada. Information regarding crime scene behaviors was gathered from police records, a clinical interview with a psychologist, and a semistructured interview with the offender. A series of logistic regressions were performed to determine whether behavioral crime scene indicators of sexual sadism were associated with an official diagnosis of sexual sadism and were able to distinguish between sexual aggressors against women and sexual murderers. Findings suggest that several crime scene behaviors overlap with an official diagnosis of sexual sadism as well as being able to distinguish between sexual aggressors of women and sexual murderers. Importantly, the majority of crime scene behaviors associated with a clinical diagnosis of sexual sadism are not the same as those associated with sexual homicide.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.572
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.293
GPT teacher head0.393
Teacher spread0.101 · 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

Citations83
Published2012
Admission routes2
Has abstractyes

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