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Record W4411903006 · doi:10.1186/s40359-025-02947-y

Parental co-parenting quality, children’s emotion regulation abilities, and prosocial behavior

2025· article· en· W4411903006 on OpenAlex
Baocheng Pan, Youli Wang, Jinghui Zhang, Jingyao Wang, Bowen Xiao, Yan Li

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBMC Psychology · 2025
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsCarleton University
FundersChina Postdoctoral Science Foundation
KeywordsProsocial behaviorPsychologyDevelopmental psychologyQuality (philosophy)Social psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: This study used latent profile analysis to explore latent profiles of parental coparenting quality and their relationships with children's prosocial behavior, and to examine the mediating role of children's emotion regulation abilities. METHODS: = 55.95, SD = 8.42). RESULTS: Three coparenting profiles were identified: lowquality, moderatequality, and highquality parental coparenting. Compared with the lowquality profile, both the moderatequality profiles and highquality profiles significantly predicted higher children's prosocial behavior via enhanced emotion regulation and reduced emotion lability/negativity. Compared with the moderatequality profile, the highquality profile predicted children's prosocial behavior only through reduced emotion lability/negativity. CONCLUSION: These findings highlight the critical role of parental coparenting quality in shaping children's emotion regulation abilities and prosocial behavior, demonstrating distinct pathways for different coparenting profiles. The results offer practical insights for fostering children's prosocial development.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.061
Threshold uncertainty score0.863

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.041
GPT teacher head0.386
Teacher spread0.345 · 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