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Record W1988681431 · doi:10.1111/1467-8624.00575

A Longitudinal Investigation of the Dynamics of Mental State Talk in Families

2003· article· en· W1988681431 on OpenAlexaff
Jennifer M. Jenkins, Sheri L. Turrell, Yuiko Kogushi, Susan Lollis, Hildy S. Ross

Bibliographic record

VenueChild Development · 2003
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsUniversity of GuelphUniversity of TorontoUniversity of Waterloo
Fundersnot available
KeywordsPsychologyFeelingDevelopmental psychologySiblingCognitionContext (archaeology)Sibling relationshipTheory of mindLongitudinal studyCognitive developmentSocial psychology

Abstract

fetched live from OpenAlex

Thirty-seven mothers and fathers were observed in their homes interacting with their 2- and 4-year-old-children at Time 1 and 2 years later. Parental mental state talk to children varied as a function of children's age, the context in which talk occurred, and the gender of the parent. Four-year-old children, with an older sibling, produced and heard more cognitive talk and less desire talk than children without an older sibling. Cognitive and feeling talk by family members at Time 1 predicted change in younger children's cognitive and feeling talk (respectively) 2 years later, after controlling for initial levels of younger children's talk and general language ability. Findings are discussed in the context of theory of mind understanding and family talk about the mind.

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 score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
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 head0.014
GPT teacher head0.244
Teacher spread0.230 · 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

Citations257
Published2003
Admission routes1
Has abstractyes

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