Comparison on the contents of physical education and health course in middle schools among foreign countries
Bibliographic record
Abstract
This paper comparatively analyzes and researches on the contents of physical education and health course among England,America,New Zealand,Canada and Japan.The conclusion shows that the common trend of the contents of physical education and health course among foreign countries is carving up the contents of PE according to the learning field;attaching importance to the contents of fitness and motor skills;appearing to the flexibility and selectivity,and fitting the difference of individual;the combination of PE and health teaching;emphasizing the lifelong PE and its contact with life.The inspiration of curricular contents' reform is that fitting the needs of society and science development;paying attention to the subjectivity needs of school PE and caring for the difference of individual;emphasizing the function of building the health of students and the unification of PE and health education,strengthening the education of PE and health knowledge;formally appearing to diversification and flexibility;reflecting the need of lifelong PE goal and paying attention to the unification of athletics,body building and entertainment.The learning field should provide the samples of knowledge and skill fitting the demand of contents.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".