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Record W2324044488 · doi:10.1037/xlm0000184

Phonological activation of word meanings in grade 5 readers.

2015· article· en· W2324044488 on OpenAlexafffund
Debra Jared, Jane Ashby, Stephen J. Agauas, Betty Ann Levy

Bibliographic record

VenueJournal of Experimental Psychology Learning Memory and Cognition · 2015
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsMcMaster UniversityWestern University
FundersSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsHomophoneSpellingSentencePhonologyContext (archaeology)Reading (process)LinguisticsTask (project management)Word (group theory)Computer sciencePsychologyCognitive psychologyNatural language processing

Abstract

fetched live from OpenAlex

Three experiments examined the role of phonology in the activation of word meanings in Grade 5 students. In Experiment 1, homophone and spelling control errors were embedded in a story context and participants performed a proofreading task as they read for meaning. For both good and poor readers, more homophone errors went undetected than spelling control errors. In Experiments 2 and 3, homophone and spelling control errors were in sentence contexts. Experiment 2 used an online sentence verification task, and found that both good and poor readers were less accurate when sentences contained a homophone error than a spelling control error. Furthermore, a difference between the 2 types of sentences was observed even when participants were concurrently performing an articulation task. In Experiment 3, initial reading times were shorter on homophone errors than on spelling controls, and participants were less likely to make a regression from homophone errors than spelling controls. These experiments provide clear evidence that phonology makes an important contribution to the activation of word meanings in Grade 5 readers.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.361
Threshold uncertainty score0.404

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 head0.077
GPT teacher head0.372
Teacher spread0.295 · 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 designBench or experimental
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

Citations26
Published2015
Admission routes2
Has abstractyes

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