Comparing Canadian Generalist and Specialist Elementary School Teachers’ Self-Efficacy and Barriers Related to Physical Education Instruction
Bibliographic record
Abstract
Purpose: We aimed to explore and compare generalist and physical education (PE) specialist (males and females) elementary teachers’ self-efficacy to teach and the barriers perceived when teaching PE. Methods: Canadian elementary school teachers completed the validated online survey, Teacher Efficacy Scale in PE, with 11 additional questions examining the perceived strength of barriers related to teaching quality PE. Results: Specialist teachers’ self-efficacy (n = 296) was significantly higher (p < .05) than that of generalist teachers (n = 818). Gender was found to predict teachers’ self-efficacy, with female generalists reporting the lowest scores on the Teacher Efficacy Scale in PE. There was a statistically significant difference between the perceived strength of nine out of the 11 listed barriers, with generalist teachers reporting barriers as more inhibitory than specialists. Discussion/Conclusion: This study highlights the gap between generalists’ and specialists’ self-efficacy to teach and the perceived barriers when teaching PE. Efforts specifically targeted to supporting female generalists teaching PE are necessary.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".