Running: How is it Taught and Evaluated in British Columbia Schools?
Bibliographic record
Abstract
Objective Running is a simple and inexpensive exercise to maintain cardiovascular health. We aimed to evaluate the incorporation of running within the curriculum in British Columbian schools to determine whether students are effectively taught how to run to maintain an active lifestyle.Methods All 60 superintendents representing the school districts in British Columbia were contacted. They gave written approval for our research team to send a survey to schools within their districts. Teacher and student perspectives on running in middle and high schools were collected.Results Teachers (n=63) and students (n=597) would like more information on proper running form and the cardiovascular benefits associated with this exercise. There is inconsistency in reporting medical conditions, and it is not clear how grading is distributed fairly among all students (p<0.05).Conclusion There is a lack of education in schools on running. Improvements to the incorporation of running within the physical and health education curriculum may enhance student enjoyment and in turn help reduce sedentary behaviours and associated comorbidities in the general population.
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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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".