The prevalence of developmental co-ordination disorder among primary school
Bibliographic record
Abstract
Developmental Co-ordination Disorder will have an impact in the gross motor, and the fine motor co-ordination of daily living activities of children and the academic performance of children with Developmental Co-ordination Disorder is low due to handwriting difficulty. There are also deficits in reading skills, working memory skills and mathematical skills. There may be problems associated with psychosocial aspects in relationship with peers and socialisation, low self-esteem, anxiety and low mood. The DCD prevalence in the United States is 5-8%, 5.6% in Egypt, 5.7% in Greek and 1.8% in the United Kingdom and 5.9% in Canada, 30% in Brazil and India it is found to be 1.6% in West India, 21.6% in Karnataka. In Tamil Nadu at Kattupakkam, it was found to be 3.22%, and Kattankulathur had 1.37%. Since there is no evidence of DCD prevalence in Primary schools at Tamil Nadu, the current study aims at finding the prevalence of DCD among primary school children at Kancheepuram. This Survey, with a cross-sectional study, was initiated. Two hundred children participated in the study. The Developmental Co-ordination Disorder Questionnaire (DCDQ) was used to identify DCD in primary school children at Kancheepuram. Seventy children were identified as DCD, and it revealed that the prevalence rate was 120.20 in 1000 children. The prevalence estimate was high in boys than in girls. There is a prevailing estimate of 120.20 in 1000 children of Developmental co-ordination disorder between the age group of 5 and 11 years exists among primary schools at Kancheepuram. The study concluded the need for early identification and intervention to promote awareness among parents and teachers in a school setting about developmental co-ordination disorder.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".