Development and Pilot Testing of the Challenge Module: A Proposed Adjunct to the Gross Motor Function Measure for High-Functioning Children with Cerebral Palsy
Bibliographic record
Abstract
The aim was to develop a Challenge Module (CM) as a proposed adjunct to the Gross Motor Function Measure for children with cerebral palsy who have high-level motor function. Items were generated in a physiotherapist (PT) focus group. Item reduction was based on PTs' ratings of item importance and safety via online surveys. The proposed CM items were pilot-tested with children in Gross Motor Function Classification System Level I. The focus group identified 35 items for consideration. The first item-reduction survey (n = 86 PT respondents) resulted in 20 items. A second survey yielded two additional items. Seven pilot-test participants (6-14 years) had a CM total mean score of 74.5% (SD = 19.4). Three easy items were subsequently removed and two items combined. Of seven additional items suggested by the children during testing, two were accepted in a third item-reduction survey. The final result was a 20-item CM to evaluate advanced motor skills. The CM requires refinement through Rasch scaling and formal validation.
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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 | 0.010 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".