Climate change analogue analysis of ski tourism in the northeastern USA
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
Detrimental impacts of climate change on the international ski tourism industry have been projected in numerous studies. Modeling-based studies project shortened ski seasons and increased snowmaking requirements under warmer temperatures. The present study uses a climate change analogue approach to examine how a wider range of ski area performance indicators were affected by anomalously warm winters in the Northeast region of the USA. The record warm winter of 2001-2002 is representative of projected future average winter climate conditions in the USA Northeast under a high greenhouse gas emission scenario for the 2040-2069 period and was used as one climate change analogue for this analysis. The 1998-1999 ski season was also used as a climate change analogue as it represents the last of 3 consecutive warm winters (1997 to 1999) that are representative of a mid-range emissions scenario projected for the 2040-2069 period. Ski area performance indicators for the 2001-2002 and 1998-1999 analogue years were compared to the climatically normal (based on 1961-1990 means) years of 2000-2001 and 2004-2005. The indicators examined include: ski season length, snowmaking (hours of operation and % energy utilized as a proxy for fuel costs), total skier visits and operating profit (% of total gross fixed assets). The effect of ski season length during the climate change analogue years is compared with modeled effects for the region. The differential vulnerability of small, medium, large and extra-large ski areas was also examined and the greatest economic effects were found among small and extra large ski areas.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it