MétaCan
Menu
Back to cohort
Record W2803588335 · doi:10.1177/0886260518774303

Sexual and Nonsexual Homicide in Scotland: Is There a Difference?

2018· article· en· W2803588335 on OpenAlexaff
Sara Skott, Éric Beauregard, Rajan Darjee

Bibliographic record

VenueJournal of Interpersonal Violence · 2018
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsSimon Fraser University
FundersEconomic and Social Research Council
KeywordsHomicidePsychologyPoison controlInjury preventionLogistic regressionSuicide preventionHuman factors and ergonomicsOccupational safety and healthCriminologyDemographyMedicineMedical emergencySociology

Abstract

fetched live from OpenAlex

While a number of previous studies have compared sexual homicides to nonlethal sexual offenses, there have been few studies comparing sexual and nonsexual homicides. This study examines whether sexual homicide offenders differ from nonsexual homicide offenders in Scotland regarding characteristics of the offender, the victim, and the homicide incident. Unlike previous studies, only homicides committed by males against females were examined. Data from a national police database were used to compare 89 male sexual homicide offenders who killed adult females with 306 male nonsexual homicide offenders who had also killed adult females using bivariate and multivariate (logistic regression) analyses. The findings revealed not only some similarities between the two groups, particularly regarding some victim variables, but also significant bivariate and multivariate differences. Sexual homicides appeared to be associated with indicators of instrumentality and sexual deviance. We conclude that sexual homicide offenders might be considered a distinct group of homicide offenders, more similar to sexual offenders than to other homicide offenders.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score0.923

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.317
Teacher spread0.295 · 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

Citations19
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Interpersonal ViolenceSame topicPsychopathy, Forensic Psychiatry, Sexual OffendingFrench-language works237,207