Celebrating a decade of the Active Healthy Kids Global Alliance and its Global Matrix initiative
Bibliographic record
Abstract
Research continues to demonstrate that participating in regular physical activity (PA) is indispensable for maintaining health and fitness across the lifespan. Nevertheless, global trends in child PA show consistent declines,1 especially over the past 30 years.2 Currently, the global state of PA surveillance is inadequate and inconsistent. Intercontinental PA initiatives assessing children and adolescents differ greatly, resulting in contradictory internation comparisons.3 Resource-limited countries, younger children, those not attending school, children and adolescents with disabilities or chronic conditions and those from rural areas are generally under-represented or not represented.3 This continues despite calls to establish systematic PA surveillance from infancy onwards to inform public health policy and practice.4 The global transition to the current low levels of habitual PA observed among children and adolescents, beginning in the second half of the last century, now limits progress towards several sustainable development goals, undermines non-communicable disease prevention and increases healthcare costs. Lower childhood PA levels may also increase reliance on motorised transport and can hinder national responses to climate change.
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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 | 0.011 | 0.029 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.014 | 0.027 |
| Insufficient payload (model declined to judge) | 0.014 | 0.013 |
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".