Results from England’s 2014 Report Card on Physical Activity for Children and Youth
Bibliographic record
Abstract
BACKGROUND: The Active Healthy Kids 2014 England Report Card aims to provide a systematic assessment of how England is performing in relation to engaging and facilitating physical activity (PA) in children and young people. METHODS: The systematic methods and processes that underpin the Active Healthy Kids Canada Report Card were used and adapted. Data and evidence were consolidated, reviewed by a panel of content experts, and used to inform the assignment of letter grades (A, B, C, D, F) to 9 core indicators related to PA. RESULTS: Children's Overall Physical Activity received a grade of C/D. Active Transportation and Organized Sport Participation received grades of C and C-, respectively. The indicators of School and Community and the Built Environment were graded favorable with grades of A- and B, respectively. Active Play, Sedentary Behaviors, Family and Peers, and Government Strategies and Investments were graded as INC (incomplete) due to a lack of nationally representative data and/or as a result of data not mapping onto the benchmarks used to assign the grades. CONCLUSIONS: Substantial provision for PA opportunities in England exists. Yet more effort is required to maximize use of these resources to increase PA participation.
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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 | 0.008 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 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) | 0.013 | 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".