Morphological awareness: A key to understanding poor reading comprehension in English.
Bibliographic record
Abstract
This longitudinal study examined the performance of poor comprehenders on several reading-related abilities in the late elementary school years. We identified 3 groups of readers in Grade 5 who were matched on word reading accuracy and speed, nonverbal cognitive ability, and age: unexpected poor comprehenders, expected average comprehenders, and unexpected good comprehenders. We compared these groups in Grade 5 and, retrospectively, in Grade 3. The 3 groups performed similarly on phonological awareness, naming speed, and orthographic processing tasks but differed in morphological awareness, even when vocabulary was controlled statistically. Unexpected poor comprehenders performed more poorly than expected average comprehenders in morphological derivation at Grade 5 but not in Grade 3; in contrast, expected average comprehenders performed more poorly than unexpected good comprehenders at Grade 3, but these groups did not differ in Grade 5. Our findings suggest that poor morphological awareness contributes to reading comprehension difficulties and that children with different reading comprehension profiles may learn morphology at different rates. © 2011 American Psychological Association.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 | 0.000 |
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".