Sustainable creative tourism on islands and the pandemic: The Creatour Azores project
Bibliographic record
Abstract
As the impact of the COVID-19 pandemic was felt worldwide, the tourism sector was forced to seek ways of reinventing itself. Two decades prior to this crisis, in varied rural areas and island contexts, small-scale, community-based creative tourism had appeared as a sustainable place-making solution to foster place vitality, competitive distinctiveness, regenerative development and destination resilience. From an island perspective, this article presents the theoretical framework, methodological approaches, and empirical practices of the Creatour Azores project, which was carried out in the North Atlantic archipelago of the Azores from 2019-2022. Given this timeframe, the investigators and pilot projects that implemented this research-practice project were confronted with the COVID-19 pandemic, which accentuated the isolation and remoteness that tend to characterize islandscapes, especially peripheral islands such as the Azores. At the same time, however, this devastating global pandemic, which impacted the tourism sector especially, ended up offering unexpected opportunities along with special challenges, seeming to underscore the relevance of studies focused on the isolation and remoteness that characterize islandscapes. After describing the project methodologies and practices, as well as the adjustments adopted due to the pandemic, this article considers future possibilities for creative tourism on islands, in general, and in the Azores.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".