Results from New Zealand’s 2014 Report Card on Physical Activity for Children and Youth
Bibliographic record
Abstract
BACKGROUND: This brief report provides grades for the 2014 New Zealand Report Card on Physical Activity for Children and Youth. The Report Card presents a review of current evidence across 9 key indicators, including physical activity (PA), organized sport and free play, sedentary behavior, and community and government initiatives across New Zealand. METHODS: Nationally representative survey data were collated by researchers at the University of Auckland, New Zealand, between June and December 2013. The grade for each indicator is based on the percentage of children and youth meeting a defined benchmark: A is 81%-100%; B is 61%-80%; C is 41%-60%, D is 21%-40%; F is 0%-20%; INC is incomplete data. RESULTS: Overall PA received a score of B, as did Organized Sport Participation and Active Play. PA participation in School Environment scored slightly less with a score of B-. Sedentary Behaviors, Family and Peers, and Community and Built Environment scored a grade of C. Active transportation received a score of C-. An inconclusive grade was given for the Government indicator due to a lack of established international criteria for assessment. CONCLUSIONS: PA participation in New Zealand is satisfactory, but could improve. However, sedentary behavior is high. Of particular concern is the age-related decline in PA participation, particularly among adolescent females, and the increase in sedentary behavior.
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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 | 0.007 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.010 |
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".