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Record W2954970886 · doi:10.1177/1079063219858073

The Impact of Juvenile Sex Offending on the Adult Criminal Career

2019· article· en· W2954970886 on OpenAlexafffund
Kylie S. Reale, Evan McCuish, Raymond R. Corrado

Bibliographic record

VenueSexual Abuse · 2019
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsSimon Fraser University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsJuvenileJuvenile delinquencyPsychologyAdult maleCriminal behaviorSex offenseYoung adultHuman factors and ergonomicsPoison controlCriminologyDevelopmental psychologySexual abuseMedicineMedical emergencyBiologyEcology

Abstract

fetched live from OpenAlex

Although past studies demonstrated the heterogeneity of the criminal career patterns of juveniles with sexual offenses (JSOs), such studies did not directly assess whether JSOs have different adult offending outcomes compared with juvenile nonsex offenders. Using data on a subsample of males from the Incarcerated Serious and Violent Young Offender Study, JSOs ( n = 78), juveniles with violent offenses (JVOs; n = 550), and juveniles with nonviolent offenses (JNVOs; n = 281) were compared across a variety of adult offending outcomes. JSOs were not associated with a specific trajectory of general offending in adulthood, nor were they associated with a range of adult criminal career parameters (e.g., frequency, severity, specialization, and versatility). However, a range of other indicators of juvenile offending were associated with general offending in adulthood. For juvenile males who experience incarceration, many elements of their offending history mattered for adult offending outcomes, but not sexual offending. Policy implications for treatment and management 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.701
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.037
GPT teacher head0.322
Teacher spread0.284 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations14
Published2019
Admission routes2
Has abstractyes

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