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Record W2594163705 · doi:10.1177/1541204017697233

A Prospective Study of Offending Patterns of Youth Homicide Offenders Into Adulthood

2017· article· en· W2594163705 on OpenAlexaff
Evan McCuish, Jesse Cale, Raymond R. Corrado

Bibliographic record

VenueYouth Violence and Juvenile Justice · 2017
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsRecidivismHomicidePsychologyContext (archaeology)Injury preventionPoison controlSuicide preventionHuman factors and ergonomicsOccupational safety and healthPsychiatryMedical emergencyMedicine

Abstract

fetched live from OpenAlex

Although youth homicide offenders (YHOs) are portrayed as a group that warrants considerable attention from the justice system because of their high likelihood of future offending, little is known about this group’s offending trajectories and the nature of posthomicide offenses in adulthood. These questions were investigated using a sample of male and female YHOs ( n = 26), violent YHOs ( n = 358), and nonviolent YHOs ( n =139), all of whom were followed prospectively into adulthood. First, the prevalence of adult recidivism did not vary across the three groups. Second, YHOs were more frequent offenders prior to their homicide offense than after their homicide offense, and when they did offend posthomicide, it was typically a nonserious crime. Third, YHOs did not differ from other offenders in their association to a specific offending trajectory. These findings are discussed in the context of assessment and treatment of serious and violent youth.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score0.888

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.044
GPT teacher head0.322
Teacher spread0.278 · 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

Citations11
Published2017
Admission routes1
Has abstractyes

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