Sustainable Tourism in the Face of Climate Change: An Overview of Prince Edward Island
Bibliographic record
Abstract
Tourism is being impacted by climate change all around the world. Tourism is now seen as one of the economic sectors least equipped for the risks and opportunities provided by climate change, and it is just now establishing the capacity to advance the knowledge required to teach businesses, communities, and governments about the concerns and potential solutions. As a small coastal island, Prince Edward Island (PEI) on Canada’s Atlantic coast is highly vulnerable to climate change extremes, including coastal erosion, sea-level rise, and flooding. The island’s tourism industry generates substantial revenue for businesses and the government, yet it is highly vulnerable to the climate extremes that impact beach and sea-faring attractions. Limited research has been reported on this topic, and most information on island tourism and how sustainable tourism is achievable is out of date. Here, we present evidence of climate-related impacts and vulnerabilities in tourism within PEI and highlight existing and future adaptation strategies to support sustainability in this sector. Key information gaps are highlighted, and recommendations are proposed to facilitate climate resilience in Prince Edward Island’s tourism sector.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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 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".