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Record W2047087992 · doi:10.1080/02643290442000202

Parallel processing blocked by letter similarity in letter by letter dyslexia: A replication

2004· article· en· W2047087992 on OpenAlexaff
Martin Arguin, Daniel N. Bub

Bibliographic record

VenueCognitive Neuropsychology · 2004
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsInstitut Universitaire de Gériatrie de MontréalUniversity of VictoriaUniversité de Montréal
Fundersnot available
KeywordsDyslexiaPsychologySimilarity (geometry)Cognitive psychologyReading (process)Computer scienceArtificial intelligenceLinguistics

Abstract

fetched live from OpenAlex

An investigation of the joint effects of orthographic neighbourhood size (N size) and of letter confusability in three letter-by-letter (LBL) dyslexics is reported. All three patients showed a facilitatory effect of increased N size with low letter-confusability words, but no N size effect with high confusability words. This exactly replicates previous observations by Arguin, Fiset, and Bub (2002) in another LBL dyslexic. A facilitatory N size effect requires parallel letter processing and the word recognition performance of normal readers is unaffected by letter confusability. The present findings therefore signal that the residual capacity for parallel letter processing in LBL dyslexia is blocked by letter similarity. This implies a deficit of letter encoding or identification, which appears to be a general feature of LBL dyslexia since it is exhibited by all of the four patients so tested.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reproducibility · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.998
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.024
GPT teacher head0.326
Teacher spread0.302 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
DomainReproducibility
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

Citations30
Published2004
Admission routes1
Has abstractyes

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