Climate Change Vulnerability of the Vermont Ski Tourism Industry (USA)
Bibliographic record
Abstract
Abstract Climate change represents one of the most significant challenges to humanity in the 21st century and is anticipated to have major consequences for the climate‐sensitive winter sports tourism sector. This study examined the vulnerability of Vermont's (US A) 18 ski areas. Under the six climate change scenarios examined, shortened ski seasons and increased snowmaking requirements were projected at all ski areas. Using two broad economic risk criteria (100‐day ski season, probability of being operational for the Christmas/New Year holiday period), only the two low‐elevation ski areas (Cochran and Suicide Six) were considered highly vulnerable to climate change. Consequently, it is not the entire Vermont ski tourism industry that is at risk to climate change but rather the individual low lying ski areas. The economic implications remain uncertain, but a possible outcome of a contraction of ski areas in the region is increased market share among the remaining ski areas.
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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 | 0.017 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".