Diferenças no rendimento desportivo entre os judocas séniores e juniores melhores classificados no ranking mundial
Bibliographic record
Abstract
The purpose of this study was to compare the match performance between the best ranked senior and junior Judo athletes. Twenty men athletes were analyzed (senior: N= 10; age: 27.7 ± 2.8 years junior: N=10; age: 19.3 ± 0.6 years). The twenty-four most recent matches per athlete were analyzed. The most recent matches were considered in a balanced way. Number of winnings and loses, Ippons, Waza-ari and penalties were coded. Moreover, gap between the athlete and the opponents were used as covariable for the comparisons. One-way ANCOVA revealed that junior athletes scored less Waza-ari than senior (-25.8%; p = 0.027; d = 0.182). Conclusions reveals that main performance is similar between junior and senior, with exception to the number of Waza-ari that is significantly larger in senior.
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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 | 0.001 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".