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Record W2760647281 · doi:10.5539/jel.v7n1p80

Reading Performance Profile of Children with Dyslexia in Primary and Secondary School Students

2017· article· en· W2760647281 on OpenAlexvenueno aff
Emine Balcı, Aybala Çayir

Bibliographic record

VenueJournal of Education and Learning · 2017
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsnot available
Fundersnot available
KeywordsSpellingDyslexiaReading (process)PsychologyPhoneticsAlphabetTest (biology)Mathematics educationCoding (social sciences)LinguisticsMathematics

Abstract

fetched live from OpenAlex

The purpose of the present research was to provide information to the community about the reading subskill profiles of children with dyslexia in primary and secondary school students. 175 children (aged 7-15 yrs) were examined on a varied set of phonological coding, spelling and fluent reading tasks. For this purpose, students’ fluent reading were determined using The Informal Reading Inventory. The student’s letter recognition and phonetics were measured by the alphabet test. The syllable test was used to measure the learner’s ability to read syllables. Results have shown that most of the dyslexic students have the spelling problem (35%) and fluent reading problem (51%). The proportion of students who can only learn letters (5%) and students who never learn to read (7%) is very small. Results revealed that dyslexic students do not have any significant problems in the phonological coding process but these students at each grade level have problems especially in spelling and fluent reading processes.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.171

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.009
GPT teacher head0.319
Teacher spread0.309 · 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.

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

Citations4
Published2017
Admission routes1
Has abstractyes

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