A play-based intervention for preschool children with Developmental Coordination Disorder
Bibliographic record
Abstract
Introduction: Preschool children with probable developmental coordination disorder (pDCD) engage less frequently in play and demonstrate less developed play-skills in the preschool environment than their typically developing peers (Kennedy-Behr, Rodger, & Mickan, 2011). Methods: A four-week combination of occupational performance coaching (OPC) (Graham, Rodger, & Ziviani, 2009) with teachers and a play-based intervention with three preschool children with pDCD (age range 4;8- 5;6) was explored. Canadian Occupational Performance Measure (Law etal 2008) was used with teachers to set goals and evaluate performance. Play-skills and behaviours were measured pre-post intervention using the Revised Knox Preschool Play Scales (Knox 2008)and the Play Observation Scale (Rubin 2001). Results: Significant changes were demonstrated for all three children. Overall play-age increased for each child. Frequency of engagement in group play increased. Amount of time in non-play decreased. Conclusions: OPC combined with a play-based intervention may be useful for preschool children with pDCD, however further study is necessary.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".