Cognitive Strategy Generation in Children with Developmental Coordination Disorder
Bibliographic record
Abstract
BACKGROUND: Developmental coordination disorder (DCD) is a condition of impaired quality of movement and occupational performance. It has been hypothesized that the difficulties experienced by children with DCD may in part be due to an impaired ability to use cognitive strategies to solve occupational performance problems. Cognitive Orientation to daily Occupational Performance (CO-OP) is a verbally-based approach to helping children remediate this difficulty. The current pilot study investigated the use of cognitive strategies in children with DCD to determine whether cognitive strategy use is improved by CO-OP. METHODS: Observations of video-recorded sessions of 18 school-aged children were scored for frequency and type of cognitive strategies used. RESULTS: Differences within and between groups revealed changes in the types and frequency of cognitive strategies. CLINICAL IMPLICATIONS: The results of the present study support the use of a cognitively-based approach such as CO-OP in assisting children with DCD in developing cognitive strategies when solving occupational performance problems. However, further research using a larger sample is necessary to fully explore the impact of CO-OP on the strategy use of children with DCD.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".