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Record W3035297781 · doi:10.31459/turkjkin.726162

Correlation of subcutaneous fat variables with motor ability in females

2020· article· en· W3035297781 on OpenAlexaff
Artan R. Kryeziu, Astrit Iseni, Enver Tahiraj

Bibliographic record

VenueTurkish Journal of Kinesiology · 2020
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Training Studies
Canadian institutionsCentre for Movement Disorders
Fundersnot available
KeywordsSubcutaneous fatCorrelationCorrelativeMotor skillPsychologyMotor activityPhysical therapyPhysical medicine and rehabilitationMedicineDevelopmental psychologyInternal medicineMathematicsAdipose tissue

Abstract

fetched live from OpenAlex

The aim of the paper was to analyze the correlation of subcutaneous fat tissue variables with motor ability for women aged 11+ +/- 6 months. In a sample (n = 60) of the sixth grade (VI) of the Prishtina municipality, all attend the Physical Education (PE) curriculum. In this paper-experiment 12 variables were applied, 6 of which are morphological characteristics and 6 motor tests. All subjects are of female gender, of the lower secondary schools "Elen Gjika" and "Pjetër Bogdani" from the municipality of Prishtina. Correlative ratios between morphological characteristics and motor ability are relatively low. Also in these two dimensions treated, it is worth mentioning the negative correlative ratio between subcutaneous far variables with motor tests. Based on the results obtained in this experiment as well as the morphological changes of motor skills of this age, the changes in the locomotor system have not yet been developed, and any assignment given to these children presents the difficulty of carrying out a motor duty.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.082
GPT teacher head0.390
Teacher spread0.308 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2020
Admission routes1
Has abstractyes

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