Results From Sweden’s 2016 Report Card on Physical Activity for Children and Youth
Bibliographic record
Abstract
BACKGROUND: The 2016 Swedish Report Card on Physical Activity (PA) for Children and Youth is a unique compilation of the existing physical and health related data in Sweden. The aim of this article is to summarize the procedure and results from the report card. METHODS: Nationally representative surveys and individual studies published between 2005-2015 were included. Eleven PA and health indicators were graded using the Active Healthy Kids Canada grading system. Grades were assigned based on the percentage of children/youth meeting a defined benchmark (A: 81% to 100%, B: 61% to 80%, C: 41% to 60%, D: 21% to 40%, F: 0% to 20%, or incomplete (INC). RESULTS: The assigned grades were Overall Physical Activity, D; Organized Sport Participation, B+; Active Play, INC; Active Transportation, C+; Sedentary Behaviors, C; Family and Peers, INC; School, C+; Community and the Built Environment, B; Government Strategies and Investments, B; Diet, C-; and Obesity, D. CONCLUSIONS: The included data provides some support that overall PA is too low and sedentary behavior is too high for almost all age groups in Sweden, even with the many national policies as well as an environment that is favorable to the promotion of PA.
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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 | 0.009 | 0.028 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.014 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.006 |
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".