The Impacts of Climate Change on Tourism Operators, Trail Experience and Land Use Management in British Columbia’s Backcountry
Bibliographic record
Abstract
Climate change, natural resource industries, and an expanding outdoor tourism sector have recently increased access to sensitive backcountry environments in Western Canada. Trail managers are struggling to manage trail conditions with the mounting effects of smoke, dust, fire, flood, area closures, and beetle outbreaks in their regions. Outdoor recreation trail managers are linking these events and are thinking critically about the history and interconnectedness of land use management decisions in the province of British Columbia (BC). As the effects of climate change continue to challenge both trail managers and sport recreationists, guides and trail associations have been identified as key education facilitators in the development and dissemination of environmental consciousness. Guided by a community-based participatory research approach, this study used personal interviews with trail managers across the province to highlight how a connection with local ecosystems can develop a more robust land ethic for recreational trail user communities in BC.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".