Dyslexia in a consistent orthography: Evidence from reading‐level match design
Bibliographic record
Abstract
Studies in consistent orthographies using reading-level (RL) match design have produced conflicting results, possibly because of problems with general ability and RL matching in many studies. We matched the participants on both verbal and nonverbal ability and on reading tasks with no ceiling effects and compared the performance of Grades 4 and 6 Greek-speaking children with dyslexia to those of chronological age (CA) and RL matched control groups across a variety of tasks associated with dyslexia (phonological awareness, rapid naming, phonological memory, and orthographic processing). The results showed that although both Grade 4 and Grade 6 dyslexics performed poorer than the CA groups in most tasks, they did not perform poorer than the RL group in any of the tasks included. We conclude with a discussion of the theoretical ramifications of the results and the appropriateness of the RL match design in studying dyslexia in consistent orthographies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".