A behavioral and fMRI examination of the effect of rhythm on reading noun-verb homographs aloud
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".