The effects of FIFA11+ warm up program on core endurance, sprint performance and balance in under-21 football players
Bibliographic record
Abstract
Introduction: Football is the most played contact- sport around the globe. Due to the nature of the game, a great performance by multiple motor components is required. A good warm-up is required to condition the athletes and prepare them for the complexity of the micro-movements which are happening at neuromuscular level. FIFA 11+ warm-up program serves as the most beneficial protocol to make athletes ready for the competition. Aim: The aim is to find out the effects of FIFA 11+ on core muscle endurance, sprint performance and balance in under-21 football players.Methodology: 20 under-21 football players were included in the study. FIFA 11+ protocol was implemented for 4 weeks. Pre and Post Data of McGill core endurance test, 50 m sprint test and stork balance test was recorded. Statistical analysis: Statistical Analysis is done by appropriate analytical software. As the data was normally distributed, paired-t test was used for within group analysis for each outcome measure respectively.Results: Significant changes were observed in the pre and post values of core muscle endurance, sprint performance and balance. (p
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.004 | 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".