Effects of 8-Week Strength Training on the Vertical Jump Performance of the Traceurs
Bibliographic record
Abstract
The parkour is a physical activity that contains special technique applications and requires a great number of jumps.The purpose of this study was to investigate the effects of 8-week strength training on the jump heights of thetraceurs (parkour practitioners). A total of 12 traceurs, including 6 individuals as the control group and 6 individualsas the strength group, were included in the study. The control group was provided with parkour training sessionstwice a week, and the other group provided with both strength and parkour training sessions twice a week. Eachparticipant's vertical jumps were recorded with the high-speed camera in the validated My Jump 2 application. Themean age of the traceurs control group was 19±.89 years, 173.67±4.63 cm, body mass 66.5±5.32 kg; experimentalgroup was 19.5±1.05 years, 175.83±8.86 cm, and body mass 67.67±7.20 kg. Also according to the results, it can besaid that a significant increase was observed in countermovement jump (CMJ) vertical jump heights (p=0.028) of thestudy group at the end of the 8-week strength trainings compared to the control group and that the strength trainingprovided a positive contribution to vertical jump heights. On the other hand, there was no significant difference(p=0.075) in the control group. At the same time, the CMJ height values of the participants who performed strengthtraining increased 4.97±0.09%. Learning of the vertical jump heights, which is an important parameter for successfulperformance in traceurs, can enable the coaches and athletes to prepare a better training program.
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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 | 0.001 | 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 | 0.001 |
| 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".