Normative values for physical fitness in children aged 11-17 in Kosovo
Bibliographic record
Abstract
Background and Study Aim: In the present study, the purpose was to determine the normative values for physical and biomotoric characteristics of children aged 11-17 in Kosovo. Material and Methods: 742 students who were selected according to the Random Sampling Method from 24 schools determined in the cities and rural areas in all regions were included in the study (n = 347 girls, n = 395 - boys). Volunteering students who did not have any acute or chronic disease that might avoid testing were included in the study after the permissions were received from the Ministry of National Education, Principals of the Schools, and the support of the parents. The declarations of Helsinki were taken into consideration in the study. Results: The results of each test were given as the norm values according to gender and age together with 20% groups, which is considered as the Canadian Standard. The data on the physical and biomotoric characteristics of the children living in Kosovo were compared with the data of the World Health Organization and the literature data of other countries. Conclusions: While the children living in Kosovo showed higher performances in the tests that were affected by anthropometric properties like height and body fat percentage and by genetic properties like the speed of the movements of the arms when compared with the children from other countries from the same age group; they had lower performances in the tests that were affected by life style and physical activity levels like endurance, long jump, and flexibility.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".