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Record W2527902290 · doi:10.1177/0143034316678655

Contextual influences on the relations between physical and relational aggression and peer victimization

2016· article· en· W2527902290 on OpenAlexaff
Jonathan B. Santo, Ellyn Charlotte Bass, Luz Stella-Lopez, William M. Bukowski

Bibliographic record

VenueSchool Psychology International · 2016
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsConcordia University
Fundersnot available
KeywordsAggressionPsychologyPeer groupPeer victimizationDevelopmental psychologyMultilevel modelPeer relationsHuman factors and ergonomicsPoison controlSocial psychologyClinical psychologyMedicine

Abstract

fetched live from OpenAlex

Previous studies have demonstrated that several contextual factors influence the relationship between aggression and peer victimization in early adolescence, including gender of the same-sex peer group and gender composition of the school. The current study replicated and expanded on this research by examining the moderating influences of gender of the same-sex peer group, same-sex peer group norms, and classroom gender composition in a sample of early adolescents from Barranquilla, Colombia. Multilevel modeling analyses indicated that both relational and physical aggression were positive predictors of peer victimization. Relationally aggressive girls were at a lower risk for victimization while physically aggressive girls were at a higher risk. Relational aggression was a weaker predictor in classes with a larger proportion of girls. Additionally, relational aggression was a weaker predictor in same-sex peer groups with a greater prevalence of relational aggression. These findings provide further evidence of multiple forms of contextual influence on social behavior. Practical implications for these findings are also provided.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0030.000

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 head0.034
GPT teacher head0.352
Teacher spread0.318 · 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

Citations9
Published2016
Admission routes1
Has abstractyes

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