MétaCan
Menu
Back to cohort
Record W2810127597 · doi:10.1108/jcp-02-2018-0010

Stepping stones to sexual murder: the role of developmental factors in the etiology of sexual homicide

2018· article· en· W2810127597 on OpenAlexaffabout
Éric Beauregard, Matt DeLisi

Bibliographic record

VenueJournal of Criminal Psychology · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsHomicidePsychologyLogistic regressionDevelopmental psychologyEtiologyHuman factors and ergonomicsPoison controlCriminologyMedicinePsychiatryMedical emergency

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to examine the role of a variety of developmental factors on sexual homicide offenders (SHOs), while taking into account other components of sexual homicide theoretical models. Design/methodology/approach A series of logistic regression models are performed using a total of 616 incarcerated adult male sexual offenders from Canada to distinguish between three groups of sexual offenders, SHOs, violent non-homicidal sex offenders (NHSOs) and NHSOs. Findings Results indicate that contrary to theoretical models, experiences of victimization are not central to the development of SHOs. Instead, it is the adoption of various problematic behaviors in childhood that appear as most important in the etiology of this particular type of sexual crime. This suggests that the various existing theoretical models of sexual homicide need to be revised and/or tested with additional empirical data. Originality/value This is the first study to look at developmental factors using two control groups of NHSOs and violent NHSOs.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.258
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.106
GPT teacher head0.441
Teacher spread0.335 · 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

Citations32
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Criminal PsychologySame topicCrime Patterns and InterventionsFrench-language works237,207