From Birds to Boats: The Political Ecology of Cruise Tourism in Mingan Archipelago National Park Reserve in Quebec (canada)
Bibliographic record
Abstract
Driven by spectacular growth over the last decade, the international cruise industry is constantly looking for new destinations to appeal to a different breed of traveler, one that seeks comfort alongside wilderness adventure. Meanwhile, national parks, long held up as icons of wilderness adventure, are increasingly governed through the logic of austerity politics and seek new revenue. These two distinct processes have started to provide increased opportunities for collaboration, introducing complex dynamics and power struggles at destinations and beyond. However, few studies have addressed these issues so far. Drawing on the global political ecology of tourism and conservation literature, this article examines the various entanglements between Mingan Archipelago National Park Reserve in Canada and the cruise industry, and the implications they have for the destination as a whole. To better understand the many challenges facing park authorities and their partners, we employed a slate of qualitative methods, including document analysis, participant observation, and 30 semistructured interviews with key stakeholders. Results show that although the expectations of regional actors have not been met and the future of cruise tourism in Mingan is uncertain, park authorities continue to invest time and money to engage with the industry and adapt their facilities to this clientele. This raises questions about the real motives of park authorities and the contribution of this form of tourism to the sustainable development of the region.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".