Analysis on the Partial Indexes of the Physical Fitness of the Male Elite Wrestlers
Bibliographic record
Abstract
In order to find out the difference on the partial indexes of physical fitness of elite male wrestlers between China and abroad,the paper used the documentation and mathematical statistics methods to study on 53 male wrestlers,and compared some of the relevant data from abroad.The result indicated that the strength endurance of Chinese lightweight wrestlers is dominant significantly than abroad,but the Chinese heavyweight wrestlers need to be improved,and the maximal strength of lower limbs need strengthening;The average VO2max of Chinese athletes is 52.23±2.85 mL/kg/min,a little better then Iran's 49.95±3.20 mL/kg/min.But compared with Canadian's average 61.8 mL/kg/min and Korea's 60.2 mL/kg/min,they have a big gap.The average level of the flexibility index is 41.79±3.42 cm,a little better than Iran's 41.03±5.04 cm,but in the 50kg and 84kg category they are weaker than the Iranians.For the speed quality,there is no difference between China's(5.15±0.24)s and Iran's(5.17±0.12)s,only below the 84 kg category Chinese wrestlers' have advantages,but above 84 kg,especially the 120 kg category,they need to be improved urgently.
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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 | 0.002 | 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) | 0.001 | 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".