Expert Appraisal of the 2022 Canadian Para Report Card on Physical Activity for Children and Adolescents With Disabilities
Bibliographic record
Abstract
This report provides an expert appraisal of the Canadian Para Report Card on physical activity (PA) for children and adolescents with disabilities. Thirteen indicators were graded by a panel of researchers, representatives from disability and PA organizations, and parents of children and adolescents with disabilities using benchmarks of the Global Matrix 4.0 and previous Canadian PA Report Cards. Facilitated panel discussions were used to appraise the available evidence based on data gaps, opportunities, and recommendations. The available data sources included four nationally generalizable or representative data sets. Grades were assigned to 8/13 indicators and ranged from B+ to F. Data gaps in measurement and national surveillance systems were identified. Ableism was an issue identified within some of the reporting benchmarks. The absence of PA from existing accessibility legislation in Canada was a policy gap of concern. Recommendations related to research, surveillance, and policy are provided to enhance PA among children and adolescents with disabilities in Canada.
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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 | 0.077 | 0.175 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.022 | 0.016 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".