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Record W2903850034 · doi:10.1017/s0142716418000632

Staying rooted: Spelling performance in children with dyslexia

2018· article· en· W2903850034 on OpenAlexafffund
Derrick C. Bourassa, Meghan Bargen, Melissa Delmonte, S. Hélène Deacon

Bibliographic record

VenueApplied Psycholinguistics · 2018
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsDalhousie UniversityUniversity of Winnipeg
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSpellingPsychologyDyslexiaOrthographyRoot (linguistics)SingingDevelopmental psychologyLiteracyReading (process)Cognitive psychologyLinguisticsAudiology

Abstract

fetched live from OpenAlex

ABSTRACT Spelling is a key, and telling, component of children’s literacy development. An important aspect of spelling development lies in children’s sensitivity to morphological root constancy. This is the sensitivity to the fact that the spelling of roots typically remains constant across related words (e.g., sing in singing and singer ). The present investigation examined the extent to which children with dyslexia and younger typically developing children are sensitive to this feature of the orthography. We did so with a spelling-level matched design (e.g., Bourassa & Treiman, 2008) and by further contrasting results with those for a sample of children of the same chronological age as the dyslexic group. Analyses revealed that the dyslexic children and their spelling-ability matched peers used the root constancy principle to a similar degree. However, neither group used this principle to its maximum extent; maximal use of root constancy did emerge for age matched peers. Overall, the findings support the idea that sensitivity to root constancy in children with dyslexia is characterized by delayed rather than atypical development.

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 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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score1.000

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)0.0000.001

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 head0.016
GPT teacher head0.292
Teacher spread0.276 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
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

Citations9
Published2018
Admission routes2
Has abstractyes

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