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Record W4308686071 · doi:10.1037/dev0001492

Paternal mind-mindedness and children’s academic achievement: Investigating developmental processes.

2022· article· en· W4308686071 on OpenAlexafffundabout
Annie Bernier, Rose Lapolice-Thériault, Célia Matte‐Gagné, Chantal Cyr

Bibliographic record

VenueDevelopmental Psychology · 2022
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversité du Québec à MontréalUniversité LavalUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsPsychologyPsycINFODevelopmental psychologyAcademic achievementTheory of mindCognitionCognitive developmentReading (process)MediationChild developmentMEDLINE

Abstract

fetched live from OpenAlex

This study tested a 5-year sequential mediation model linking paternal mind-mindedness in toddlerhood to child early academic achievement through a developmental process unfolding in the preschool years. A sample of 128 mostly White middle-class families (68 girls) living in Montreal, Canada was assessed for paternal mind-mindedness when children were 18 months old, child language at age 2, theory of mind and effortful control at age 4, cognitive school readiness in kindergarten, and finally, achievement in math and reading in first grade. Controlling for maternal mind-mindedness assessed at age 12 months, the results showed prospective associations from paternal mind-mindedness to both math and reading achievement, mediated by theory of mind, effortful control, and school readiness in sequence. Results suggest that paternal mind-mindedness may support child academic outcomes by promoting the acquisition of intermediate skills during preschool years. (PsycInfo Database Record (c) 2023 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 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)0.006
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 score0.176
Threshold uncertainty score0.349

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.039
GPT teacher head0.309
Teacher spread0.270 · 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

Citations18
Published2022
Admission routes3
Has abstractyes

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