Feasibility of the <i>Challenge</i> Assessment, the <i>Gait Outcomes Assessment List</i> and ‘ <i>Moving Together’ (‘Sammen I Bevægels</i> e’), a Group-Based Motor Skills Intervention for Independent School-Aged Children with Cerebral Palsy
Bibliographic record
Abstract
This single group pre and posttest study evaluated the feasibility of a new 10-week group-based motor skills enhancement intervention: “Moving Together,” and associated use of the Challenge assessment and Gait Outcomes Assessment List (GOAL). Participant attendance/completion and satisfaction with the assessments and intervention were evaluated, and a first estimate of associated motor skill-related changes obtained. Ten ambulatory children with cerebral palsy (7–14 years) and their parents participated. Ninety percent of Challenge sessions were attended and 82.5% of GOAL questionnaires completed. Program attendance was 83% overall. Satisfaction with assessments was high for the Challenge and moderate for the GOAL, and intervention satisfaction was high. Mean change scores (95% CI) post-intervention for the Challenge and GOAL were 4.2 (−11.4 to 3.1) and 3.6 (−14.4 to 4.0) points (/100) respectively. Challenge and GOAL use was feasible and appropriate for “MovingTogether” and associated with gains in motor skill performance and functional abilities.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".