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Record W4393339194 · doi:10.3138/cjccj-2023-0047

Learning Disabilities and Delinquency: The (Non-)mediating and (Non-)moderating Role of Peer Deviance

2023· article· en· W4393339194 on OpenAlexaffvenue
Brittany Etmanski, Ashley Ryan, Owen Gallupe

Bibliographic record

VenueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsUniversity of WaterlooStatistics Canada
Fundersnot available
KeywordsJuvenile delinquencyDeviance (statistics)PsychologyCriminologyPeer influenceGeneral strain theorySocial psychologyDevelopmental psychologyComputer science

Abstract

fetched live from OpenAlex

This study assesses the role of peer deviance in the relationship between learning disabilities and violence and property crime. Two possibilities are explored: (a) that youths with a learning disability tend to have more deviant peers which in turn increases delinquent involvement (a mediating effect) and (b) that youths with a learning disability are more strongly influenced by the deviance of their peers (a moderating effect). We draw on the causality literature and employ a causal directed acyclic graph. Using data from the first two waves of the National Longitudinal Study of Adolescent to Adult Health ( N = 6,391), we find results that are not in line with either possibility. While adolescents with learning disabilities are shown to exhibit higher levels of violence (but not property crime), peer deviance is not found to play either a mediating or a moderating role. We recommend future work test alternative mediating pathways, such as through victimization and self-control.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.104
GPT teacher head0.350
Teacher spread0.247 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénaleSame topicCrime Patterns and InterventionsFrench-language works237,207