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Record W2012689451 · doi:10.1590/1982-43272354201304

O Engajamento Paterno como Fator de Regulação da Agressividade em Pré-Escolares

2013· article· pt· W2012689451 on OpenAlexaff
Lauren Beltrão Gomes, Maria Aparecida Crepaldi, Marc Bigras

Bibliographic record

VenuePaidéia (Ribeirão Preto) · 2013
Typearticle
Languagept
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Este estudo teve por objetivo investigar o engajamento paterno como fator de regulação da agressividade em crianças de quatro a seis anos de idade. Cinquenta pais responderam a questionários sobre seu engajamento com os filhos e dados sociodemográficos e 26 educadoras responderam questionários acerca do desenvolvimento social das crianças. Foram realizadas análises descritivas e inferenciais. Constatou-se que os pais estão engajados com seus filhos e realizam com maior frequência atividades referentes a suporte emocional, disciplina e jogos físicos. O pai com maior jornada de trabalho é menos engajado e quanto mais ele se dedica aos cuidados básicos e às tarefas de casa, menos os filhos apresentam problemas de externalização. Políticas e programas de apoio ao envolvimento paterno são essenciais para a transformação e consolidação da responsabilidade masculina com relação aos filhos e para a prevenção da agressividade persistente.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.002
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.038
GPT teacher head0.294
Teacher spread0.257 · 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

Citations13
Published2013
Admission routes1
Has abstractyes

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