Advancing Quality Physical Education: From the Canadian PHE Competencies to the QPE Foundations and Outcomes Frameworks
Bibliographic record
Abstract
To foster engaged, resilient, healthy, and active citizens, there is a critical need to elevate the status of quality physical education (QPE) in Canadian schools. Within the K–12 educational context, systemic changes for physical education (PE) daily instructional time, curriculum development, and teacher education are necessary to prepare educators for implementing comprehensive QPE programs that prioritize students’ holistic development and foundational movement competence. This manuscript examines the intricate role of the “Canadian Physical and Health Education Competencies” and its Essential and Foundational Elements, PE Competencies Wheel, and Wholistic Verb Wheel serve as a competency-informed approach for supporting PE curriculum updates and policy reform nationwide. Furthermore, the results section explores how the Canadian PHE Competencies serves as a foundation for advancing QPE and introduces two interconnected frameworks: the QPE Foundations Framework and the QPE Outcomes Framework—Skills for Life. Building on the overarching goals of the Canadian Physical and Health Education Competencies, the QPE Foundations Framework outlines essential components for program implementation, while the QPE Outcomes Framework—Skills for Life identifies eight core skills students develop through quality movement experiences. Together, these frameworks offer a transformative and progressive approach for understanding and assessing QPE, with the intention to serve as practical tools for pre-service and in-service educators, Physical Education Teacher Education (PETE) teacher educators, administrators, and policymakers. This manuscript concludes by advocating for enhanced pre-service educator training and ongoing professional development for in-service educators, ensuring all students have access to QPE experiences and equitable opportunities for developing the knowledge, skills, and attitudes to live active and well—for life.
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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 | 0.033 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.013 | 0.022 |
| Scholarly communication | 0.017 | 0.010 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".