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Record W4414190790 · doi:10.1111/1467-9817.70012

The contributions of individual oral language skills to kindergarten students' reading comprehension

2025· article· en· W4414190790 on OpenAlexaff
Jamie L. Metsala, Erin Sparks, Margaret D. David

Bibliographic record

VenueJournal of Research in Reading · 2025
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsDalhousie UniversityMount Saint Vincent University
Fundersnot available
KeywordsReading comprehensionReading (process)ComprehensionListening comprehensionActive listeningLanguage assessmentSet (abstract data type)Second-language attrition

Abstract

fetched live from OpenAlex

Background Research has demonstrated that distinct oral language skills contribute unique variance to text comprehension in students from second grade onward. This study examined these relationships for kindergarten students whose comprehension is often assumed to be determined by word decoding skills. Method Eighty‐eight kindergarten students completed measures assessing oral language skills, word reading and reading comprehension. The latter was measured by standardised tests and a teacher‐administered reading level inventory. Results Syntactic and morphological awareness were unique predictors of comprehension measured on standardised tests, controlling for word reading, English language learning status and listening comprehension. In contrast, syntactic awareness was the only unique oral language predictor of teacher‐assessed reading levels. Conclusions Individual oral language skills influence reading comprehension in students as young as those in kindergarten. In this novel investigation, we found differing patterns of predictors across two comprehension measures, highlighting the more constrained set of language skills tapped by teacher‐assessed reading levels.

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)0.010
metaresearch head score (Gemma)0.001
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 score0.386
Threshold uncertainty score0.388

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.045
GPT teacher head0.490
Teacher spread0.445 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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