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Record W2969514345 · doi:10.1002/bsl.2425

Lethal combinations: A conjunctive analysis of crime scene behavior associated with sexual homicide

2019· article· en· W2969514345 on OpenAlex
Julien Chopin, Éric Beauregard

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

VenueBehavioral Sciences & the Law · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsSimon Fraser University
FundersSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsHomicidePoison controlPsychologyInjury preventionSexual behaviorCriminal behaviorHuman factors and ergonomicsSuicide preventionOffender profilingMedical emergencyComputer securityCriminologyClinical psychologyMedicineEngineeringComputer science

Abstract

fetched live from OpenAlex

This research investigates violent stranger rapes and the factors leading these cases to sexual homicides. Variables relating to modus operandi characteristics on one part and offender behavior on the other part are examined using conjunctive analysis of cases configuration to identify the different combinations leading to a lethal outcome. Using a French sample of 1263 cases of violent rapes and 303 cases of sexual homicides involving female adult victims, we find that blows given by offenders and information about physical resistance of victims are strongly associated intentional and non-intentional sexual homicides. Psychoactive substance consumption by offenders as well associal isolation are in a lesser extend also associated with the lethal outcome.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.090
GPT teacher head0.396
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