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Record W1619241531 · doi:10.5539/ass.v11n21p193

Low Self-Control, Peer Delinquency and Aggression among Adolescents in Malaysia

2015· article· en· W1619241531 on OpenAlexvenueno aff
Pit-Wan Pung, Siti Nor Yaacob, Rozumah Baharudin, Syuhaily Osman

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsnot available
Fundersnot available
KeywordsJuvenile delinquencyAggressionPsychologySelf-controlDevelopmental psychologyPeer groupScale (ratio)Clinical psychology

Abstract

fetched live from OpenAlex

The purpose of this study was to examine the relationships between low self-control, peer delinquency and aggression among adolescents. This cross-sectional study was conducted in Selangor, Malaysia among 413 adolescents. The participants were selected from 12 secondary schools by using Multistage Cluster Sampling Technique. Self-Control Scale (Grasmick, Tittle, Bursik, & Arneklev, 1993), The Peer Delinquency Scale (Loeber, Farrington, Stouthamer-Loeber, & Van Kammen, 1998) and Aggression Questionnaire (Buss & Perry, 1992) were used to examine the relationships between adolescents’ low self-control, peer delinquency, and aggression. Results showed that there were significant positive relationships between low self-control, peer delinquency and aggression among adolescents. The result also indicated that low self-control has an indirect effect on aggression through peer delinquency. Peer delinquency served as a partial mediator. Low self-control and peer delinquency are important factors in the development of aggression among adolescents.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score0.411

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 studies0.0000.000
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 head0.014
GPT teacher head0.298
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; 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

Citations17
Published2015
Admission routes1
Has abstractyes

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