An analysis of Canadian physical education curricula
Bibliographic record
Abstract
There has been much international concern about the present and future status of school physical education. Recent research has employed surveys or case studies to examine the status of physical education but there is a dearth of in-depth physical education curriculum document analysis. The aim of this study is to contribute to the international discussion about physical education curricula by expanding upon previous interpretations of Canada’s physical education curricula and addressing additional aspects that may have been overlooked. Results of an analysis of Canada’s 10 provincial physical education curricula reveal trends and themes related to instructional time allocations, curricular aim statements, curricular organizing categories and learning outcome statements. While the stated aim of physical education curricula in Canada is focused on healthy, active living, there is evidence that the specific content of the learning outcome statements are more focused on movement skills, games and sport technique. This contradiction sparks further discussion about the philosophical and theoretical underpinnings of physical education curricula and the importance of understanding what has, is, and perhaps should be influencing decisions about curriculum development throughout the world.
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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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.020 | 0.045 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".