Watch Me Move: A Program For Parents of Young Children With Gross-Motor Delays
Bibliographic record
Abstract
AIMS: Watch Me Move (WMM) is a 6-week parent education program for caregivers of children with gross-motor delays. The aims are to improve parent-child interaction in a gross-motor context, increase parents' knowledge of behavioral cues and gross-motor development, and decrease perceived parental stress. METHODS: Forty mothers of children, 6 months to 3 years of age, with a gross-motor delay participated in a randomized control trial comparing parents who received the WMM program plus standard of care physiotherapy (n = 24) with parents whose children received standard of care physiotherapy (n = 16). RESULTS: Mothers who received the WMM program had significantly higher change scores on two subscales of the Nursing Child Assessment Teaching Scale (NCATS; i.e., cognitive growth fostering, and responsiveness to caregiver) and on the Parent Knowledge Questionnaire assessing knowledge of behavioral cues and gross-motor development. There were no significant group differences on the other four NCATS subscales (i.e., sensitivity to cues, response to child's distress, social emotional growth fostering, and clarity of cues) or the Parenting Stress Index. CONCLUSIONS: The addition of WMM to traditional physiotherapy improved aspects of mothers' ability to interact with their children and their knowledge of behavioral cues and gross-motor development.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".