School-based outdoor education and teacher subjective well-being: An exploratory study
Bibliographic record
Abstract
Can school-based outdoor education (OE) benefit teachers’ well-being? Multiple studies have reported the positive impact of OE on students’ well-being and the benefits of contact with nature for adults. However, a literature review revealed no research on the impact of OE on teachers’ well-being. This study explores the possible relationships between OE and preschool and primary school teachers’ subjective well-being (SWB) in Québec, Canada, during COVID-19. A survey measuring teacher SWB was conducted; 381 teachers responded, 164 practiced OE, and 217 did not. The questionnaire results indicated that teachers who practice OE have significantly higher SWB than their colleagues ( d = 0.21 to d = 0.36). However, only a limited positive correlation was found between teacher SWB and the number of times teachers practice OE ( rho = 0.184). This study suggests that school-based OE is positively related to teacher SWB and therefore has the potential to benefit teachers and students alike.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.002 | 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".