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Record W4383646242 · doi:10.1002/jip.1619

The significance of unusual acts in sexual homicide

2023· article· en· W4383646242 on OpenAlexaff
Poppy Sun, Éric Beauregard, Julien Chopin

Bibliographic record

VenueJournal of Investigative Psychology and Offender Profiling · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPsychologyCommissionHomicideCriminologyCrime sceneSocial psychologyPoison controlSuicide preventionPolitical scienceMedical emergencyMedicineLaw

Abstract

fetched live from OpenAlex

Abstract In addition to being an unusual form of crime, sexual homicide (SH) sometimes includes unusual crime scene behaviours, such as carving on the victim, evisceration (i.e., removal of internal organs), skinning the victim, cannibalism and vampirism. The current study investigates these unusual crime scene behaviours to better understand their meaning as well as to explore whether such behaviours are associated with a specific crime‐commission process. Using a sample of 762 SH cases, the study uses a combination of chi‐square and stepwise forward logistic regression analyses to identify the differences between cases with and without unusual acts. Findings reveal that SH cases with unusual acts present a specific crime‐commission process. This crime‐commission process is characterised by a greater level of sadism—as demonstrated by the presence of mutilation and foreign object insertion—as well as a greater level of organisation from the selection of a contact location where the risk of being seen or heard was low. These findings provide a better understanding of these behaviours and could help investigators facing such cases.

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)0.001
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 score0.158
Threshold uncertainty score0.351

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.159
GPT teacher head0.433
Teacher spread0.274 · 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

Citations8
Published2023
Admission routes1
Has abstractyes

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