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Record W2966246589 · doi:10.5539/jel.v8n4p235

Investigation of the Aerobic and Power Anaerobic Powers of the Students in Secondary School in Turkey

2019· article· en· W2966246589 on OpenAlexvenueno aff
Kahvecioglu Çiğdem, Faruk Albay

Bibliographic record

VenueJournal of Education and Learning · 2019
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsnot available
Fundersnot available
KeywordsAnaerobic exerciseWingate testPsychologyTest (biology)Aerobic exerciseDemographyMedicinePhysical therapyBiology

Abstract

fetched live from OpenAlex

The aim of this study is to investigate the aerobic and anaerobic powers of students in different grades of the schools and describe the correlation between these powers. Upon the written approval of Samsun National Education Management, this study was carried out with the voluntary participation of 120 females and 120 males aged 11–16, who were healthy and were not active in sports. The total number of the subjects participating in the study was 240. The aerobic and anaerobic power tests of the subjects were determined through Cooper and Wingate tests respectively. All statistical calculations were evaluated through the SPSS 13 package program. The relationship between the aerobic and anaerobic powers of male and female students aged 11, 12, 13, 14, 15, and 16 was examined through Spearman correlation test. The correlations between anaerobic and aerobic powers of the subjects were as follows: 0.06 for 11-year-olds, 0.43 for 12-year-olds, 0.21 for 13-year-olds, 0.24 for 14-year-olds, 0.27 for 15-year-olds, and 0.12 for 16-year-olds in females while 0.13 for 11-year-olds, 0.01 for 12-year-olds, 0.13 for 13-year-olds, 0.43 for 14-year-olds, 0.23 for 15-year-olds, and 0.56 for 16-year-olds in males. In conclusion, no meaningful correlations between the anaerobic and aerobic powers of subjects were found.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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

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 head0.008
GPT teacher head0.272
Teacher spread0.263 · 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 source (direct Gemma or distilled Codex), 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
Published2019
Admission routes1
Has abstractyes

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