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Record W2794234429 · doi:10.1080/23273798.2018.1442012

A behavioral and fMRI examination of the effect of rhythm on reading noun-verb homographs aloud

2018· article· en· W2794234429 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

VenueLanguage Cognition and Neuroscience · 2018
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNounVerbReading (process)RhythmLinguisticsPsychologyReading aloudAudiologyCommunicationMedicinePhilosophy

Abstract

fetched live from OpenAlex

These experiments explored the connection between rhythm and reading by examining whether reading is affected by a rhythmic prime that was either congruent or incongruent with the syllabic stress of the target letterstring. Previous research has shown congruency effects but only in a between-item design, which leaves open the possibility of extraneous variables contributing to the effects. The present design used noun-verb homographs (conflict vs. conflict), and their corresponding pseudohomophones (konflikt vs. konflikt). The results demonstrated significant congruency effects, whereby RTs were faster when the prime was congruent with the syllabic stress. The fMRI experiment identified several brain regions that underlie the rhythm-priming effect, and particularly the putamen’s involvement given recent research suggesting its role in phonetic decoding. These experiments provide the strongest within-item/within-participant evidence to date that a rhythm prime has an effect on lexical and sublexical reading, and inform our understanding of how rhythm and reading interact.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.530
Threshold uncertainty score0.179

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.017
GPT teacher head0.314
Teacher spread0.297 · 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