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Record W2106773328 · doi:10.1080/01650250444000469

Sibling aggression: Sex differences and parents’ reactions

2005· article· en· W2106773328 on OpenAlexaff
Jacqueline Martin, Hildy S. Ross

Bibliographic record

VenueInternational Journal of Behavioral Development · 2005
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAggressionSiblingPsychologyDevelopmental psychologyPoison controlMedicineMedical emergency

Abstract

fetched live from OpenAlex

Thirty-nine families were observed extensively at home when children were 21/2 and 41/2 years of age and again 2 years later. The Social Relations Model is used to investigate children’s sex differences in aggression and parents’ prohibiting aggression during sibling conflict. In the first observation period, boys engaged in more severe and mild physical aggression, grabbing, insulting, and property damage than girls. At Time 2, boys engaged in more mild physical aggression and insulting, than girls, but there were no sex differences in other forms of aggression. At Time 1, parents’ responses were relatively uninfluenced by the sex of the children. However, parents were more likely to prohibit mild physical aggression, grabbing, and property damage by and towards girls at the second time period. Conversely, parents showed more tolerance for boys’ mild physical aggression at Time 2, suggesting that this socialisation message may play a role in boys’ greater use of physical aggression both at home and with peers.

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 score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.056
GPT teacher head0.364
Teacher spread0.308 · 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

Citations81
Published2005
Admission routes1
Has abstractyes

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