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Record W2120252374 · doi:10.1017/s0142716414000125

Communication patterns between parents and children: Comparing mothers and fathers in different learner contexts

2014· article· en· W2120252374 on OpenAlexafffund
Lara J. Pierce, Fred Genesee, Karine Gauthier, Marie-Ève Dubois

Bibliographic record

VenueApplied Psycholinguistics · 2014
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsConcordia UniversityMontreal Children's HospitalMcGill University
FundersLuonnontieteiden ja Tekniikan Tutkimuksen ToimikuntaNatural Sciences and Engineering Research Council of Canada
KeywordsPsychologyDevelopmental psychologyLanguage acquisition

Abstract

fetched live from OpenAlex

ABSTRACT Language use and joint attention (JA) strategies were examined during interactions between francophone mothers and fathers and either their birth children ( n = 10) or their internationally adopted children from China ( n = 8), once when the children were 15 months old and again at 20 months, on average. Results showed that mothers engaged in more JA episodes and tended to talk more with their children than did fathers; however, this was influenced by the language-learning situation of the child. Specifically, the adoptive parents engaged more with their children than did the birth parents, and the behaviors of the internationally adopted mothers and fathers were more similar to each other than to those of the birth parents, arguably to support their children's unique language-learning situation. However, in contrast to a previous study that examined JA with adoptive mothers, the adoptive fathers’ interaction styles with their children at 15 months were not related to children's vocabularies at 20 months as has been observed for mothers.

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 score0.039
Threshold uncertainty score0.723

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 head0.018
GPT teacher head0.293
Teacher spread0.275 · 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

Citations9
Published2014
Admission routes2
Has abstractyes

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