Cognitive Impairments of Children with SevereArithmetic Difficulties: Cognitive Deficit orDevelopmental Lag?
Bibliographic record
Abstract
An age-matched/achievement-matched design was utilized to examine the cognitive functioning of children with severe arithmetic difficulties. A battery of cognitive tasks was administered to three groups of elementary aged children: 20 children with severe arithmetic difficulties (SAD), 20 children matched in age (CAM) to the children with SAD, and 20 younger children matched in arithmetic achievement (AAM) to the children with SAD. Measures were related to processing speed, short-term memory, verbal working memory, and visual-spatial working memory. Results suggest three important fi ndings. First, in contrast to previous studies, children with SAD did not show a processing speed impairment. Second, children with SAD were impaired in short-term memory for numerical and non-numerical information. And third, while children with SAD displayed working memory impairments, these impairments were not uniform within verbal working memory or visualspatial working memory. Taken together, findings indicate that previous studies that have reported differences between children with SAD and their normally achieving peers might have overestimated or mischaracterized the differential cognitive functioning of these groups. Results are discussed within a framework that views the cognitive functioning impairments of children with SAD as representative of a developmental lag rather than a cognitive deficit.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 teacher head, 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".