Climate Change and Tourism in the Great Lakes Region: A Summary of Risks and Opportunities
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
An integral component of the tourism/recreation sector in the Great Lakes region of Canada is climate. Climate defines the length and quality of tourism seasons and associated levels of participation (i.e., natural seasonality) and it affects the natural resource base that many forms of tourism depend upon. Changes in natural seasonality and the environment induced by climate change could have substantial implications for the sustainability of specific tourism sectors and the communities that depend on them. This article summarizes existing literature to provide an overview of the risks and opportunities climate change poses for the tourism/recreation sector across the entire Great Lakes region. Winter tourism is projected to be negatively impacted in the region, with reductions in season length for skiing, snowmobiling, and ice fishing. Warm weather tourism is projected to benefit from climate change through extended seasons for major activities such as golfing, park visitation, camping, beach use, and boating. The differential effects of climate change in the Great Lakes region will alter the competiveness of tourism sectors. Determining how tourism operators and communities will need to adapt to supply- and demand-side changes in order to reduce the risk and take advantage of new opportunities in a sustainable manner remains an important area for future inquiry.
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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 | 0.001 | 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 | 0.000 |
| 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 it