The potential of disruptive transport infrastructure for tourism development in emerging island destinations: Research project in the Faroe Islands
Bibliographic record
Abstract
This qualitative research paper investigates the role of transport infrastructure for community and tourism development in emerging island destinations. The Faroe Islands, a trending tourism attraction, have lately become pioneers in subsea tunnel construction. Their innovative and avant-garde road system is replacing cross-sea ferry links and providing users with shorter travel times across the country, part of a national plan which aims to unite the entire archipelago under one main network. Local actors interviewed through ethnographic fieldwork convey that Faroese subsea tunnels are undisputable, active signs of infrastructure development and can potentially play a key role for the growth and prosperity of tourism across the islands. However, the findings also suggest that policymakers are underestimating the system’s tourism potential. Overall, building underwater is expensive and time-consuming and presents opportunities as well as threats for the destination. This paper encourages Faroese authorities to consider tourism development as an inevitable phenomenon and a potential additional challenge for the small, vulnerable territory. In this context, governmental entities need to understand local dynamics and make the most of the unique features of the destination to create tailored and effective policies which allow the archipelago to benefit from its assets while minimising the risk of socio-economic and environmental issues.
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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 | 0.006 | 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 | 0.006 | 0.000 |
| Scholarly communication | 0.000 | 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".