Spelling in Children With Dyslexia: Analyses From the Treiman-Bourassa Early Spelling Test
Bibliographic record
Abstract
We examined the oral and written spelling performance on the Treiman-Bourassa Early Spelling Test (Treiman & Bourassa, 2000a) of 30 children with serious reading and spelling problems and 30 spelling-level-matched younger children who were progressing normally in learning to read and spell. The 2 groups' spellings were equivalent on a composite measure of phonological and orthographic sophistication, representation of the phonological skeleton of the items, and orthographic legality. The groups showed a similar advantage for words over nonwords on the phonological skeleton and orthographic legality measures. The children with dyslexia and the comparison children also showed an equivalent advantage for written over oral spelling on the composite and phonological skeleton measures. Further analyses revealed that children with dyslexia made many of the same linguistically based errors as typically developing children but also pointed to some subtle differences between the groups. Overall, the spelling performance of children with dyslexia appears to be quite similar to that of normally progressing younger children.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
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".