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Record W2788802685 · doi:10.15561/18189172.2018.0103

Normative values for physical fitness in children aged 11-17 in Kosovo

2018· article· en· W2788802685 on OpenAlexaboutno aff
Milaim Berisha, Murat Çilli

Bibliographic record

VenuePedagogics psychology medical-biological problems of physical training and sports · 2018
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsnot available
FundersSakarya Üniversitesi
KeywordsNormativeAnthropometryChristian ministryPhysical fitnessTest (biology)PsychologyNorm (philosophy)SittingPhysical educationRural areaGerontologyDemographyPhysical activityMedicinePhysical therapyPolitical scienceSociologyMathematics education

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.388
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.079
GPT teacher head0.383
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2018
Admission routes1
Has abstractyes

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