Leadership in Mountain and Wildland Professions in Canada
Bibliographic record
Abstract
This chapter explores mountain and wildland environments as socially constructed masculine spaces where competence as a professional is linked to performing certain types of masculinity. The findings shared are from two studies conducted using a feminist appreciative approach to Action Research methods: A 2016 study amongst wildland firefighters in British Columbia, and a 2019 study amongst avalanche and guiding professionals in Western Canada. These professionals work in environments that are becoming increasingly risky due to climate change. The conflation of competence with masculinity is revealed to have negative impacts on wellbeing for all members of mountain and wildland professions, including harassment and discrimination, and increased suicide rates for cis-males. Notably, this includes negative impacts to team decision making, risk management, safety, and inclusion. Ultimately, the authors expose “masculinity as competence” to be a socio-cultural myth. While this myth is dominating the cultural discourse among professionals working in mountain and wildland environments at present, there is an emergent space for new culturally inclusive narratives in these environments.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.031 | 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 teacher head, 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".