Outdoor education in Canada: a qualitative investigation
Bibliographic record
Abstract
Outdoor education (OE) is a broad term referring to organized outdoor learning . Given Canada’s large size, sparse population, varied landscapes and diverse culture , developing a comprehensive understanding of the philosophies, goals and activities of OE in Canada is challenging. While Canada has a long history of OE, scholars struggle to articulate the ‘Canadian way(s)’ of OE. Therefore, this study seeks to describe the philosophies, goals, and activities of Canadian OE programs to stimulate the development of a deeper understanding of Canadian OE. An interpretative phenomenological analysis framework was used to explore 22 participant’s descriptions of their OE programs. Findings indicate that OE in Canada is influenced by a blend of philosophies that include hands-on experience, integrated learning, and journeying through the land. Common goals include personal growth and building community integrated with place consciousness and environmental goals. Hiking, canoeing and kayaking, skiing and snowshoeing were the most common activities.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.029 | 0.009 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".