“WOT” Do We Know and Do About Physical Activity of Children and Adolescents With Disabilities? A SWOT-Oriented Synthesis of Para Report Cards
Bibliographic record
Abstract
The purpose was to synthesize information gathered from the interpretation and conclusion sections of the Global Matrix of Para Report Cards on the physical activity of children and adolescents with disabilities. The synthesis was based on the strengths, weaknesses, opportunities, and threats framework. The procedure consisted of three stages: (a) the application of the International Classification of Functioning, Disability and Health as the theoretical framework; (b) identifying and aligning Global Matrix indicators and benchmarks with the International Classification of Functioning, Disability and Health components through a Delphi approach; and (c) using content analysis to identify themes from specific report cards. Outcomes reveal that further attention toward including children and adolescents with disabilities in fitness assessments is needed as well as adapted assessment methods. Program availability, equipment and facilities, and professional training emerged as strengths but need further development to overcome weaknesses. Paralympic inspiration was an opportunity, whereas extreme weather conditions presented potential threats to physical activity participation among children and adolescents with disabilities.
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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 | 0.029 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".