Toward Sustainable Mountain Communities: Balancing Tourism Development and Environmental Protection in Banff and Banff National Park, Canada
Bibliographic record
Abstract
Although they may have been studied less extensively than those in developing nations, mature mountain tourism communities such as Banff, Canada, potentially have useful insights to offer the international community regarding principles and practices for developing sustainable, community-based mountain tourism. Toward that end, this paper focuses on the Banff Community Plan in order to highlight ‘made-in-Banff’ solutions to issues of governance in sustainable mountain tourism. Banff's approach to balancing tourism development and environmental protection may be unique, given its complex 115-year history of association with Banff National Park. Nevertheless, the town now employs innovative principles such as ‘no net negative environmental impact’ and ‘appropriate development and use’ in its efforts to become a balanced and sustainable national park community. Such principles may contribute to implementation of Chapter 13 (the Mountain Agenda) of Agenda 21 and to resolution of governance issues in achieving sustainable mountain communities.
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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 | 0.002 | 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 | 0.026 | 0.009 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".