The Relationship Between Secondary School Physical Education and Postsecondary Physical Activity
Bibliographic record
Abstract
Background: Throughout secondary school in Ontario, PE is offered with the goal of students developing “the skills and knowledge they require to participate in physical activities throughout their lives” (Ontario Ministry of Education 1999a, p. 2). Despite the curricular goals of PE, little research has been conducted on the effects of PE on PA after secondary school completion. Purpose: The purpose of this study was to examine the relationship between previous secondary school PE and current PA of postsecondary students. Method: A convenience sample of 112 participants was recruited to complete an online survey about current PA behaviors and past enrollment in secondary PE (amount and type). A subsample of participants agreed to wear a pedometer to monitor their PA behavior objectively. We used t tests to analyze the relationship between current PA and previous enrollment in secondary PE in volume and in regard to specific course enrollment. Results: We found no significant relationship between total number of PE classes taken during secondary school and PA participation as an emerging adult. We found some significant differences in PA participation between those who took specific types of PE courses compared to those who took a single mandatory course. Conclusion: The results suggest that content as opposed to volume of PE courses is related to increased PA after secondary school completion. Future studies should seek to examine the content of specific PE courses and the effect of course content related to transition stages such as emerging adulthood.Subscribe to TPE
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".