Effect of Resistance Circuit Training and Intensive Interval Training on Speed of Veer Narmad South Gujarat University Kho-Kho Players
Bibliographic record
Abstract
The purpose of this research study was Effect of Resistance Circuit Training and Intensive Interval Training on Speed of Veer Narmad South Gujarat University Kho-Kho Players Male players of Kho-Kho selected at school level in Veer Narmad South Gujarat University District were selected in the present study. Total 90 male players were selected as subjects for the sample of the present study, in which 30 players were included in the Resistance Circuit training group, 30 in Intensive Interval training group and 30 players were included in the control group. The male players of 13 to 17 years age group were included in the present study. In this research study Speed was measured by 50 Yard Desh Run. Statistical technique such as analysis of covariance was applied to know the effects on Resistance Circuit training group and Intensive Interval training group. Mean difference was examined at 0.05 levels by using Least Significant Difference (Post Hoc) Test. The conclusion of which was seen as follows. Remarkable improvement was found in Speed of selected subjects by 12 weeks systematic Resistance Circuit training and Intensive Interval training programmes.
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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".