Classifying children for sports participation based upon anthropometric measurement
Bibliographic record
Abstract
Purpose: This study proposes a classification system for youth sports that is maturation‐based, using the anthropometric prediction of vertical jump impulse potential. Methods: Impulse was calculated for children between 8.0 and 17.9 years of age from vertical jump height [ I = m × (2 gh )0.5] in a truncated version of the Coquitlam Growth Study database. A series of stepwise regressions was performed for each gender, predicting impulse scores from 32 anthropometric variables, height, body mass, and chronological age. Results: Equations were developed that accounted for differences in muscle tissue development while utilizing variables easily measured in both males and females, including age, and measures of height, forearm girth, and calf girth. Conclusion: Using restricted ranges of impulse scores, males and females can be classed into appropriate groups for competition and sport, competing together through the age of 13. Beyond the age of 14, females have a similar capacity to generate impulse and could compete in one group, while restricted impulse categories would be useful for males until the age of 18 years.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".