The Deficit in Visuo-spatial Working Memory in Dyslexic Population? A Systemic Review and Meta-analysis
Bibliographic record
Abstract
Development dyslexia (DD) is a common language disorder, that significantly affects children. Despite having ordinary intelligence, dyslexic people struggle with reading, writing, and comprehension in their native tongue. It is still unclear whether dyslexic kids have difficulties with visuo-spatial working memory. Using meta-analysis, this gap was filled. Applying a Boolean search on Web of Science was necessary to find the pertinent papers. Thirteen studies were analyzed. The average, standard deviation, and sample size for each task were extracted. There were large effect sizes between children with DD and their age-matched peers in terms of their visuo-spatial working memory. The findings imply that visuo-spatial working memory deficiencies in dyslexic children indicate that dyslexia might exhibit domain-general characteristics. We discovered during our research that the type of language used and the testing procedure could have an impact on the test outcomes. Therefore, future research should focus on the type of tasks or language.
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 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 | 0.003 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".