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Record W2011132379 · doi:10.1080/02643294.2013.863182

Phonological generalizations in dyslexia: The phonological grammar may not be impaired

2013· article· en· W2011132379 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

VenueCognitive Neuropsychology · 2013
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsMcGill University
Fundersnot available
KeywordsDyslexiaPsychologyPhonological rulePhonologyLinguisticsGrammarPhonological DisorderReading (process)

Abstract

fetched live from OpenAlex

Dyslexia is commonly attributed to a phonological deficit, but whether it effectively compromises the phonological grammar or lower level systems is rarely explored. To address this question, we gauge the sensitivity of dyslexics to grammatical phonological restrictions on spoken onset clusters (e.g., bl in block). Across languages, certain onsets are preferred to others (e.g., blif ≻ bnif ≻ bdif, where ≻ indicates a preference). Here, we show that dyslexic participants (adult native speakers of Hebrew) are fully sensitive to these phonological restrictions, and they extend them irrespective of whether the onsets are attested in their language (e.g., bnif vs. bdif) or unattested (e.g., mlif vs. mdif). Dyslexics, however, showed reduced sensitivity to phonetic contrasts (e.g., blif vs. belif; ba vs. pa). Together, these results suggest that the known difficulties of dyslexics in speech processing could emanate not from the phonological grammar, but rather from lower level impairments to acoustic/phonetic encoding, lexical storage, and retrieval.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.004

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 head0.062
GPT teacher head0.336
Teacher spread0.274 · 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