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Record W2767729295 · doi:10.1177/0306624x17740555

Sex Difference in Homicide: Comparing Male and Female Violent Crimes in Korea

2017· article· en· W2767729295 on OpenAlex
Jonghan Sea, Donna Youngs, Sophia Tkazky

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Offender Therapy and Comparative Criminology · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsHomicidePsychologyCriminologyCrime sceneIntimate partnerHuman factors and ergonomicsPoison controlMedical emergencyMedicineDomestic violence

Abstract

fetched live from OpenAlex

The comparison of the South Korean male and female homicide offenders' characteristics and crime scene behaviours is presented in this study. A total of 537 cases of homicide offenders prosecuted in Korea between 2006 and 2010 were analyzed in terms of offenders' characteristics, victim-offender interaction, places of crime, and crime scene actions. Significant differences between male and female offenders were revealed in prior criminal history, offenders' personal characteristics, choice of victim, crime scene behaviours during and after the homicide, and choice of weapon. The parallel with the gender differences in homicides found in Western countries is discussed as well as the possible explanations for the gender-related characteristics found in this study.

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.

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)0.000
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 score0.047
Threshold uncertainty score0.332

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.455
GPT teacher head0.442
Teacher spread0.013 · 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