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Sounds, letters and meanings: the independent influences of phonological, morphological and orthographic skills on early word reading accuracy

2012· article· en· W2105551392 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Research in Reading · 2012
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsDalhousie University
FundersArmy Research OfficeSocial Sciences and Humanities Research Council of Canada
KeywordsPseudowordReading (process)PsychologyPhonological awarenessVocabularyPhonemic awarenessOrthographic projectionCognitive psychologyRapid automatized namingPhonologyLinguisticsArtificial intelligenceComputer science

Abstract

fetched live from OpenAlex

This study was designed to examine the independent contributions of phonological awareness, orthographic processing and morphological awareness on early word reading. English‐speaking children in Grades 1 and 3 completed measures of these three constructs, as well as standardised measures of real and pseudoword reading and of vocabulary. Each of the three reading‐related variables made an independent contribution to both real and pseudoword reading. Independent contributions of phonological awareness (7–17%) were consistently larger than those of orthographic processing (5–10%) or of morphological awareness (1–2%). In terms of differences between the grades, there was particular evidence of an increase in greater contribution of orthographic processing to pseudoword reading at Grade 3 than at Grade 1. These findings are discussed in light of current models of reading development.

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)0.008
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 score0.034
Threshold uncertainty score0.620

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.076
GPT teacher head0.405
Teacher spread0.329 · 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