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Record W4380995712 · doi:10.3389/feduc.2023.1194879

Longitudinal contributions of morphological awareness, listening comprehension, and gains in word reading fluency to later word- and text-reading fluency

2023· article· en· W4380995712 on OpenAlexafffund
Jamie L. Metsala

Bibliographic record

VenueFrontiers in Education · 2023
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsMount Saint Vincent University
FundersMount Saint Vincent University
KeywordsFluencyReading (process)PsychologyReading comprehensionActive listeningComprehensionCognitive psychologyWord recognitionPhonological awarenessLinguisticsVerbal fluency testCognitionCommunicationMathematics educationNeuropsychology

Abstract

fetched live from OpenAlex

This study examined the contributions of morphological awareness, listening comprehension, and early gains in word reading fluency to later outcomes in word- and text-reading fluency. There were 83 participants in second and third grade who were followed across 18 months. Gains in word reading fluency across the first six months predicted both word- and text-reading fluency one year later, beyond variance accounted for by initial word reading fluency, phonological awareness, rapid naming, and two oral language skills. Initial morphological awareness predicted reliable additional variance in word- and text-reading fluency 18 months later. The contribution of listening comprehension was specific to outcomes in text reading fluency. In the last analyses, listening comprehension, but not morphological awareness, predicted unique variance in final text reading fluency beyond final word reading fluency. Findings are discussed in terms of the developmental time-course of reading fluency and the roles of the two oral language skills examined.

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 score0.043
Threshold uncertainty score0.653

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.024
GPT teacher head0.343
Teacher spread0.319 · 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

Citations6
Published2023
Admission routes2
Has abstractyes

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