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Record W2023038462 · doi:10.1177/0093854811407730

Juvenile Sexual Offenders

2011· article· en· W2023038462 on OpenAlexaff
Julie Carpentier, Benoît Leclerc, Jean Proulx

Bibliographic record

VenueCriminal Justice and Behavior · 2011
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsUniversité de MontréalUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsRecidivismPsychologyAggressionSex offenseCommitPoison controlLogistic regressionJuvenile delinquencyInjury preventionHuman factors and ergonomicsCriminal behaviorSuicide preventionClinical psychologyPsychiatrySexual abuseMedicineMedical emergencyCriminology

Abstract

fetched live from OpenAlex

The aim of the study was to identify the factors associated with age of onset of sexual aggression, and variety and desistance of criminal activity, among adolescent sexual aggressors. The sample consisted of 351 adolescents ( M age = 15.8 years, SD = 1.8) who were assessed in an outpatient psychiatric clinic between 1992 and 2002. Recidivism data were collected after a mean follow-up period of 8 years. Hierarchical logistic regression analyses demonstrated that some variables related to childhood and adolescent development discriminated among participants who went on to follow different criminal activity trajectories. Indices of early antisocial behaviors (aggressive behavior, antisocial traits) were associated with early activation of a pattern of sexual offending as well as a polymorphic criminal career in adolescence. Findings supported previous research indicating that most adolescent sexual offenders who persist in a criminal career commit a variety of offenses and do not specialize in sexual crimes.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.124
GPT teacher head0.343
Teacher spread0.218 · 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 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

Citations41
Published2011
Admission routes1
Has abstractyes

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