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Record W2978165981 · doi:10.1111/1556-4029.14208

The Unusual Victim: Understanding the Specific Crime Processes and Motivations for Elderly Sexual Homicide

2019· article· en· W2978165981 on OpenAlexaffabout
Julien Chopin, Éric Beauregard

Bibliographic record

VenueJournal of Forensic Sciences · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsSimon Fraser University
FundersSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsHomicideTypologyCommissionPoison controlPsychologyCriminologyInjury preventionSuicide preventionOccupational safety and healthMedicineMedical emergencyPolitical scienceGeographyLaw

Abstract

fetched live from OpenAlex

Sexual homicides involving elderly victims are rare and unusual crimes, and research specifically focusing on these homicides is almost inexistent. The current study investigates the crime commission process as well as the motivations underlying elderly sexual homicides. The sample comes from the Sexual Homicide International Database (SHIelD) including sexual homicide cases from Canada and France. A total of 56 cases involving victims aged 65 years or more were compared with 513 cases involving victims aged between 16 and 45 years old. Bivariate analyses and two-step cluster analysis are performed. Findings show major differences in the crime commission process of the two groups of offenders. We also identified a four-cluster typology of elderly sexual homicide offenders based on their motivations (sexual, robber, sadistic, experimental). Although sexual homicides involving elderly victims are rare, these crimes are different, presenting specificities and should be studied as a group on its own.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.687
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
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 head0.120
GPT teacher head0.368
Teacher spread0.248 · 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.

Study designQualitative
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

Citations26
Published2019
Admission routes2
Has abstractyes

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