Results From Poland’s 2016 Report Card on Physical Activity for Children and Youth
Bibliographic record
Abstract
BACKGROUND: Poland's 2016 Report Card on Physical Activity for Children and Youth is the first assessment of child and youth physical activity (PA) in Poland using the Active Healthy Kids Global Alliance grading system. The main goal was to summarize and describe the current state of child and youth PA to increase awareness and surveillance. METHODS: The systematic methodology that underpins the Active Healthy Kids Canada Report Card was adapted and applied to the Polish report card. The best available data were consolidated, reviewed by a group of experts, and used to assign the letter grades to 9 core PA indicators on a scale ranging from A (highest) to F (lowest). RESULTS: The 9 indicators were graded as such: 1) Overall Physical Activity (D), 2) Organized Sport Participation (C), 3) Active Play (INC), 4) Active Transportation (C), 5) Sedentary Behaviors (D), 6) Family and Peers (C), 7) School (B), 8) Community and the Built Environment (C), and 9) Government Strategies and Investments (C). CONCLUSIONS: The final grades show a strong role of school in providing PA for children and youth in Poland. However, promotion of school-based sport participation appears to be insufficient by itself to sustainably promote PA in this group.
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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 | 0.006 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| 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) | 0.008 | 0.004 |
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".