The Effect of Somatotype Characteristics of Athletes on the Balance Performance
Bibliographic record
Abstract
Our study aims to investigate the effects of somatotype characteristics of elite athletes on the balance performances. The study has included 46 elite athletes totally. The heights, body weights, skinfold thicknesses, periphery and diameter of skinfold of the subjects included in the study have been measured and somatotype characteristics have been determined by using Heath-Carter method. The balance performances of the athletes have been evaluated by using Biodex Balance System. It has been determined that the dynamic balance performance of the athletes has changed in accordance with the endomorph, mesomorph and ectomorph characteristics of the athletes; however, static balance performances have not changed. Accordingly, no difference has been observed between the oscillation indexes and static balances of the athletes (p>0.05), whereas a significant difference has been found as the balance level increases in accordance with the endomorph, mesomorph and ectomorph characteristics of the athletes in terms of dynamic balances (p<0.01, p<0.05, p<0.001). In conclusion, it is assumed that the athletes having endomorphic characteristics may be more successful in the sports branches that put an emphasis on the balance.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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 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".