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Record W2091900698 · doi:10.1353/mpq.0.0054

Context-Dependent Victimization and Aggression: Differences Between All-Girl and Mixed-Sex Schools

2010· article· en· W2091900698 on OpenAlexaff
Ana María Velásquez, Jonathan B. Santo, Lina María Saldarriaga, Luz Stella López, William M. Bukowski

Bibliographic record

VenueMerrill-Palmer Quarterly · 2010
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsConcordia University
Fundersnot available
KeywordsAggressionGirlContext (archaeology)PsychologyDevelopmental psychologyGeographyArchaeology

Abstract

fetched live from OpenAlex

Contextual differences in the association between different forms of aggressive behavior and victimization were studied with a sample of 197 boys and 149 girls from mixed-sex schools and in 336 girls from all-girl schools ( M = 10.21 years of age) in two cities in Colombia. Results showed that boys generally engage in more physical than relational aggression, whereas girls engage in more relational than physical aggression. Among boys, the association between aggression and victimization was significant only for the measure of relational aggression, whereas, for girls, victimization was significantly correlated only with physical aggression. This latter association was found to be significantly stronger for girls from the all-girl schools than for the girls from the mixed-sex schools. These findings are discussed in terms of how mixed-sex and same-sex groups, as different forms of peer context, affect the social dynamics related to the association between aggression and victimization.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.285
Teacher spread0.265 · 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

Citations30
Published2010
Admission routes1
Has abstractyes

Explore more

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