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Record W2801718098 · doi:10.1111/1556-4029.13807

Female Sexual Homicide Offenders: A Descriptive and Comparative Study

2018· article· en· W2801718098 on OpenAlexaff
Sara Skott, Éric Beauregard, Rajan Darjee

Bibliographic record

VenueJournal of Forensic Sciences · 2018
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsSimon Fraser University
FundersEconomic and Social Research Council
KeywordsHomicidePsychologyInjury preventionPoison controlExploratory researchCriminologyMedicineMedical emergencySociology

Abstract

fetched live from OpenAlex

Research on female sexual homicide has been very scarce. In Europe, it has rarely been examined, and in Scotland, it has never previously been studied. This exploratory study aims to examine the characteristics of sexual homicides involving female offenders between 1990 and 2015 in Scotland. Using data from the Scottish Homicide Database between 1990 and 2015, female sexual homicides (n = 7) were compared to nonsexual homicides committed by females (n = 106) and to sexual homicides committed by men (n = 89) using Fisher's exact tests. The findings show that although female sexual homicide offenders are similar to both female nonsexual homicide offenders and male sexual homicide offenders in certain aspects, there are important differences that distinguish sexual homicides involving female offenders from both groups. Female sexual homicide offenders can arguably be seen as a distinct group of offenders, with specific characteristics and specific needs.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.409
Threshold uncertainty score0.850

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.181
GPT teacher head0.395
Teacher spread0.213 · 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 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

Citations15
Published2018
Admission routes1
Has abstractyes

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