Discussing mental health benefits for teachers participating in outdoor education in Canada: a conceptual analysis and future research directions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Outdoor education (OE) offers significant learning opportunities for students, yet teacher benefits remain underexplored. Teacher stress is causing compassion fatigue, burnout, and attrition, negatively impacting student outcomes. OE settings naturally provide educational, mental wellness, and self-care opportunities for teachers. Our research team, through a Communities of Practice focus group, identified several benefits for teachers engaging in OE. These benefits include enhanced emotional balance, sense of purpose, mental toughness, and physical endurance. Additionally, teacher competency can improve through increased knowledge, skills, attitudes, and behaviors. OE can serve as a vital part of a teacher’s self-care routine, being accessible and offering personal and professional benefits. We recommend further research on teacher experiences in OE to understand the benefits and barriers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it