Bibliographic record
Abstract
BACKGROUND: Weight reduction cycles are used by weight classed athletes in Taekwondo to make a weight category. Tension, dizziness, headaches, and confusion have been associated with rapid weight loss (RWL). There is a lack of research in weight cycling and its benefits among Taekwondo athletes. PURPOSE: To investigate the rate of weight cycling in Junior Taekwondo athletes and its effect on performance. METHODS: Athletes were weighed prior to competition, then again before their first match. Body mass difference in relation to winning was compared. RESULTS: A significant increase from weigh-in to pre-match measurements was consistently found in both genders with no significant difference between them. Winners had a mean body mass gain (1.02 kg) which was non-significantly less than the non-winners (1.09 kg). CONCLUSIONS: RWL practices do not define which athlete will perform better. Negative effects of weight cycling coupled with RWL has unclear performance benefits which indicates a need for further research.
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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 | 0.000 | 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".