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Record W1998336982 · doi:10.1075/wll.12.1.06bol

Letter and grapheme perception in English and Dutch

2009· article· en· W1998336982 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

VenueWritten Language & Literacy · 2009
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPseudowordGraphemeVowelReading (process)Prime (order theory)PerceptionLinguisticsOrthographyPsychologyComputer scienceSyllabic verseSpeech recognitionMathematicsNeurosciencePhilosophy

Abstract

fetched live from OpenAlex

In the study of reading, there is a debate about whether letters or graphemes are the primary units of perception. A promising data basis for empirically contributing to this debate can be gained from measuring the perception of single vowel letters compared to vowel digraphs. We used letter detection with masked pseudoword primes on pseudoword targets among skilled native readers in order to test for the existence and time course of vowel digraph effects during reading in deep (English) and shallow (Dutch) orthographies. Selecting these two languages, which are similar in terms of syllabic structure, allowed us to use exactly the same pseudoword stimuli. Results indicate that whereas the Dutch readers show letter effects at short prime durations and digraph effects at longer prime durations, the English readers show only letter effects. These findings are inconsistent with a strong version of the claim that graphemes are perceptual in nature, but consistent with models of reading acquisition and skilled reading that predict that, although letter effects always precede grapheme effects, grapheme activation proceeds faster in relatively shallow orthographies than in relatively deep ones.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.836
Threshold uncertainty score0.582

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 head0.006
GPT teacher head0.287
Teacher spread0.281 · 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