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Record W3045083253 · doi:10.1111/1556-4029.14504

Juvenile Sexual Murderers: Examination and Classification of the Crime‐Commission Process

2020· article· en· W3045083253 on OpenAlexaff
Julien Chopin, Éric Beauregard

Bibliographic record

VenueJournal of Forensic Sciences · 2020
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsSimon Fraser University
FundersSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsCommissionJuvenileHomicideJuvenile delinquencyCriminologyPoison controlPsychologyInjury preventionPolitical scienceMedicineMedical emergencyBiologyLaw

Abstract

fetched live from OpenAlex

This study aims to empirically explore the crime-commission process of juvenile sexual homicide offenders (SHOs). First, a comparison between the crime-commission process of juvenile and adult SHOs is undertaken, while as a second step, this study also provides an empirical classification specific to juvenile SHOs. The sample used in this study consists of 55 juvenile SHOs and 281 adult SHOs. A sequential binomial regression was used to compare at the multivariate level the two groups of offenders, while a latent class analysis was used to examine the relationships between each step of the crime-commission process of juvenile SHOs. Our findings suggest that the crime-commission process of juvenile SHOs present differences when compared with adult SHOs. Moreover, we identified four different patterns in juvenile sexual homicide: explosive opportunistic, sadistic, overcontrolled anger, and predator. Theoretical and practical implications in terms of criminal investigations as well as offenders' management and treatment are discussed.

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 score0.781
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.084
GPT teacher head0.355
Teacher spread0.271 · 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

Citations18
Published2020
Admission routes1
Has abstractyes

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