Consideration of climate change risks for ecotourism operators in business planning in Tofino, British Columbia
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
Risk management in the ecotourism tourism industry plays a major role in the success of a company. Managing risks is essential to a company's economic well being as well as their business model, and in the case of ecotourism, its ecological capital. Climate change is inevitable and the environmental events that occurred with less frequency in the past are now occurring more often. With the increased risks of climate change and the potential to affect profits and operations, the question arises as to how businesses are adapting to these risks. In managing the risks of climate change there is the potential to adapt and manage the variations or mitigate the severity. In applying risk management frameworks, there is the potential to manage climate change uncertainties. Implementing an exploratory study of Tofino, British Columbia and its sustainable ecotourism operators, this research examines the levels of consideration of climate change risks within these business operations.
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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 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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