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Record W1970017393 · doi:10.1080/03004430.2012.669756

Physical and relational aggression in young children: the role of mother–child interactional synchrony

2012· article· en· W1970017393 on OpenAlexaff
Holly Ambrose, Rosanne Menna

Bibliographic record

VenueEarly Child Development and Care · 2012
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsAggressionPsychologyDevelopmental psychologyIntervention (counseling)Task (project management)

Abstract

fetched live from OpenAlex

This study examined the relationships between the quality of parent–child interactions, specifically interactional synchrony (IS), and physical and relational aggression in young children. Seventy-three children (3–6 years; 44 males, 29 females) and their mothers participated in this study. The children's level of aggression was assessed through questionnaires completed by their mothers and teachers/caregivers. Mother–child dyads engaged in a free play task and a structured task that were coded for IS. The level of IS only in the free play task, but not in the structured block task predicted children's parent-rated physical aggression levels, with lower levels of IS predicting more aggression. No significant sex differences were found in the levels of IS, physical or relational aggression. The findings are helpful for better understanding of parent–child relationships and problem behaviours and for making intervention recommendations.

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)0.007
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 score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.238
Teacher spread0.232 · 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

Citations25
Published2012
Admission routes1
Has abstractyes

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