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Record W2021017180 · doi:10.1002/icd.628

Precursors of language ability and academic performance: an inter‐generational, longitudinal study of at‐risk children

2009· article· en· W2021017180 on OpenAlex
Lisa Campisi, Lisa A. Serbin, Dale M. Stack, Alex E. Schwartzman, Jane E. Ledingham

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInfant and Child Development · 2009
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversity of OttawaConcordia University
Fundersnot available
KeywordsPsychologyLongitudinal studyDevelopmental psychologyLanguage development

Abstract

fetched live from OpenAlex

Abstract The current investigation examined whether inter‐generational transfer of risk could be revealed through mothers' and preschool‐aged children's expressive language, and whether continuity of risk persisted in these children's academic abilities, 3 years later. Participating families were drawn from the Concordia Longitudinal Risk Project, a prospective, longitudinal investigation of French‐speaking families from low‐SES Montreal neighbourhoods. At Time 1, mothers' history of childhood social withdrawal was shown to predict mothers' child‐directed language. Mothers' language complexity was also shown to be predictive of preschoolers' expressive language and was found to mediate the relationship between maternal social withdrawal and child language. At Time 2, children's language‐related academic abilities were predicted by their expressive language at preschool age. The findings support an inter‐generational continuity of risk operating through language complexity and extending to children's performance in language‐related academic abilities at school age. Copyright © 2009 John Wiley & Sons, Ltd.

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 score0.103
Threshold uncertainty score0.600

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 head0.015
GPT teacher head0.299
Teacher spread0.284 · 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