The relationship between birth months and \nphysical fitness performance among young \nathletes in east coast Malaysia / Nik Intan Kamilin Nik Hel
Bibliographic record
Abstract
The purpose of this study is to compare and verify the relationship between birth months \nand physical fitness ability of young athletes in East Coast Malaysia. There were 111 \nsubject aged 12 years old participated for this study which comes from all district of East \nCoast Malaysia. The subjects were divided into three quarter or three groups which is 35 \nof them are in quarter 1.The quarter 1 or also known as early-year birth babies or young \nathletes are from January to April. Meanwhile, 35 subjects from 111 subjects are in \nquarter 2 or May to August group and the last one-is quarter 3 which consist 41 subjects \nand they are end-year birth which is September to December. All of subjects were tested \nat Kompleks Terbuka, Kompleks Belia dan Sukan Panji, Kota Bharu, Kelantan. The \nphysical fitness of subject was divided into anthropometric, aerobic and anaerobic test \nwhich is consisted of height measurement, weight and sitting height. Besides, for \nanaerobic test or exercise, the tests are arm span, sit and reach, hand grip strength and \nstanding broad jump test. Next, for the aerobic test, there are shuttle run, Yoyo test, and \n40m speed. One shot data study design was used for this study, subject performed test \nonly on one occasion and the data was recorded. Descriptive statistic was used to \ndescribe physical fitness profile and ANOVA analysis is to compare mean differences of \nfitness level of three quarter birth month of young athletes in East Coast Malaysia
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".