The Effect of Eight-Week Core Training Applied to High School Girls on Balance
Bibliographic record
Abstract
The aim of this study is to search core exercise’s affect which is done regulary with female students for 8 weeks on students’ balance programs. 20 volunteer female participants who were students of Osman Nuri Yalman High school (ten of them were experimental group and ten of them were control group) were included in the study. In the survey, experimental method with pretest-posttest desing was used. Core exercise was applied on experimental group three days a week during 8 weeks on the other hand no exercise was done with control group. SPSS (Ver.20) packet program was used while analyzing data statistically. Before the analysis, normality distribution was determined by being used skewness-kurtosis and hitogram and significance level was controlled according to the greenhouse-geisser and two-way repeated measures of anova values. According to the results of the survey, significant difference was found between two groups’ pre-test–post-test balance values (F(2.69, 48.36) = 42.25, p < .05). The post-test balance values of the group in 8 directions increased significantly. When the pos-test balance values between the two groups were compared, the post- test balance values of the experimantal group participants were significantly higher than the control group participants (F(1.18) = 6.20, p < .05). Consequently; it can be said that core training applied to the high school level female students three days a week for 8 weeks can have a positive effect on balance performance.
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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) | 0.000 | 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) | 0.003 | 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".