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Record W1969407179 · doi:10.1177/0829573506298691

The Influence of Family History on Reading Remediation and Reading Skills in Children With Dyslexia

2006· article· en· W1969407179 on OpenAlexaff
Bruce Dick, Bonnie J. Kaplan, Susan Crawford

Bibliographic record

VenueCanadian Journal of School Psychology · 2006
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDyslexiaReading (process)PsychologySpellingDevelopmental psychologyPhonological awarenessLearning disabilityFamily historyReading disabilityLiteracyPedagogyLinguisticsMedicine

Abstract

fetched live from OpenAlex

This study examined whether family history of reading disability influences the efficacy of reading remediation. A retrospective review of children’s performance in a reading remediation program was carried out along with parental interviews for 102 families. Significant improvements were found in the areas of nonword decoding, phonological awareness, and spelling following the reading remediation program. Younger children and children with lower IQs tended to receive less benefit from the remediation program. Having a paternal history of dyslexia was associated with smaller improvements in nonword decoding scores. Maternal history of dyslexia was not a significant predictor of changes in nonword decoding. These findings suggest that some reading skills may be most effectively integrated at later stages of development. They also point to the possibility of unique relationships that may exist between parents and children who have reading disabilities.

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)0.001
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.270
Teacher spread0.258 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2006
Admission routes1
Has abstractyes

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