Bibliographic record
Abstract
Team, co-led by UND kinesiologist Grant Tomkinson, gives American children low marks on global fitness-level report card \nAn international research team co-led from the University of North Dakota and the Children’s Hospital of Eastern Ontario (CHEO) studied the aerobic fitness levels of children and youth across 50 countries. The results were just published in the British Journal of Sports Medicine.\n“If all the kids in the world were to line up for a race, the average American child would finish at the foot of the field,” said Grant Tomkinson, associate professor of kinesiology in the UND College of Education & Human Development and senior author of the study. “Canada, on the other hand, fared moderately well placing just above middle of the pack. This study is the largest of its kind so it’s exciting to have this evidence at hand.”\n“Kids who are aerobically fit tend to be healthy; and kids who are healthy are apt to be healthy adults. So studying aerobic fitness in the early years is very insightful to overall population health,” said Justin Lang, the report’s lead author. He’s at CHEO and a Ph.D. student at the University of Ottawa. “It’s important to know how kids in Canada or America fare on the world stage, for example, because we can always learn from other countries with fitter kids.”\nThe study involved analyzing 20-meter shuttle data, also called the beep test, from 1.1 million kids aged 9 to 17 years old from 50 countries. The beep test is the most popular field based test of aerobic fitness levels of children and youth. It is also standardized and commonly used around the world.\nAnother key finding of this study is that income inequality – the gap between rich and poor as measured by the Gini Index – is strongly correlated with aerobic fitness. Children and youth from countries with a small gap between rich and poor appear to have better fitness.\nStudy collaborators include co-authors from University of Montreal and University of South Australia.\nRanking highlights: Top 5 fittest countries: Tanzania, Iceland, Estonia, Norway, Japan Canada placed 19 out of 50 America placed 47 out of 50
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".