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Record W4416578055 · doi:10.1037/fam0001432

Mind-mindedness, parenting, and family adversity: Associations and moderation effects across three sites.

2025· article· en· W4416578055 on OpenAlexaff
Jean Anne Heng, Zhenlin Wang, Chengyi Xu, Ayalguu Agtchin, Laure Lu Chen, Caoimhe Dempsey, Rory T. Devine, Hana D’Souza, Elian Fink, Louise Gray, Mikeda Jess, Mishika Mehrotra, Siu Ching Wong, Catherine Wu, Zhen Wu, Jiayin Zheng, Claire Hughes

Bibliographic record

VenueJournal of Family Psychology · 2025
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsChild, Adolescent and Family Mental Health
FundersEconomic and Social Research CouncilTsinghua University
KeywordsModerationSocioeconomic statusGeneralizability theoryMainland ChinaContext (archaeology)Association (psychology)Social environmentAffect (linguistics)Parenting styles

Abstract

fetched live from OpenAlex

= 0.52) were observed remotely in a shared drawing task, with video-footage coded for parental behavior and affect. Parental MM was assessed from transcripts of parents' descriptions of their child. Our index of family adversity comprised indicators of socioeconomic status, parental mental health, negative life events, and COVID-19 related stress. Using a single-study meta-analysis design, we found across-site generalizability of associations between parenting aspects and (a) MM (summary estimate = 0.13) and (b) family adversity (summary estimate = -0.16). By contrast, the predicted effect of MM in attenuating associations between family adversity and parenting was only partially supported. That is, the association between family adversity and parental negative affect was attenuated in the context of high MM in mainland China (but not in England or Hong Kong). For parenting behavior and affect, findings indicate both cultural similarities and contrasts and are discussed within the framework of "universality without uniformity" models. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

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 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 score0.329
Threshold uncertainty score0.650

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)0.0000.000

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 head0.036
GPT teacher head0.351
Teacher spread0.315 · 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 teacher head, 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

Citations1
Published2025
Admission routes1
Has abstractyes

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