MétaCan
Menu
Back to cohort
Record W2100223901 · doi:10.1037/0022-0663.98.3.554

What's meaning got to do with it: The role of vocabulary in word reading and reading comprehension.

2006· article· en· W2100223901 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.

Bibliographic record

VenueJournal of Educational Psychology · 2006
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsCarleton University
Fundersnot available
KeywordsReading (process)PsychologyReading comprehensionVocabularyLinguisticsWord (group theory)Meaning (existential)ComprehensionVocabulary developmentWord recognitionPhilosophy

Abstract

fetched live from OpenAlex

There is at present no clear consensus as to the nature of the relations between oral vocabulary and specific literacy skills.The present study distinguished between vocabulary breadth and depth of vocabulary knowledge to better explain the role of oral vocabulary in various reading skills.A sample of 60 typically developing Grade 4 students was assessed on measures of receptive and expressive vocabulary breadth, depth of vocabulary knowledge, decoding, visual word recognition, and reading comprehension.Concurrent analyses revealed that each distinct reading skill was related to the vocabulary measures in a unique manner.Receptive vocabulary breadth was the only oral vocabulary variable that predicted decoding performance after controlling for age and nonverbal intelligence.In contrast, expressive vocabulary breadth predicted visual word recognition, whereas depth of vocabulary knowledge predicted reading comprehension.The results are discussed in terms of interrelations between phonological and semantic factors in the acquisition of distinct reading skills.

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)0.001
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 score0.182
Threshold uncertainty score0.372

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.016
GPT teacher head0.340
Teacher spread0.323 · 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