Physical Literacy Assessment of Elementary School Children in Indonesian Urban Areas
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Currently, physical literacy recognizes as a critical part of physical education. The purpose of this study was to measure Physical Literacy Elementary School Children in Indonesian Urban Areas, a total of 60 students (23 girls, 38.3%; 37 boys, 61.7%) grade 5 (aged 11-12 years) as a participant for survey studies. The instrument used to measure PL is the Canadian Assessment of Physical Literacy (CAPL). It's used survey research methods. The analysis technique in this study uses descriptive statistical analysis to investigate the results of students' physical literacy based on the data that has been collected—technical data analysis using SPSS software. The result showed that students have good motivation and confidence. However, the level of knowledge and understanding of data is still relatively low, as well as the physical competence.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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 it