‘Made in Airbnb’: Sense of Localness in Neolocalism: Tourism Dynamics on Heimaey, Iceland
Bibliographic record
Abstract
Neolocal expressions where inhabitants promote distinguishing community characteristics through tourism have become increasingly popular in remote cold-water islands. Although scholars primarily discuss neolocalism in the context of microbreweries, evidence has emerged of tourism-neolocalism dynamics. Airbnb rentals, for instance, can be considered as neolocal playgrounds where inhabitants and tourists immerse themselves in and promote a destination’s localness. Through a qualitative case study, this paper examines how these traits play out on Heimaey, Iceland. It investigates whether distinct Airbnb hostings, ranging from locals cohabiting with visitors to more professionalised services exhibit divergent neolocal forms. Findings demonstrate that Airbnb delivers a form of neolocalism stemming from inhabitants’ living spaces whereby hosts construct localness either in the name of conservation or innovation. In this process, the boundaries between the local(isms), the global, and cosmopolitanism are blurred, thus complicating people’s sense of localness. Here, neolocalism becomes more than a mere commercial tool that automatically leads to sustainable outcomes. This study enriches our understanding of new intersections of modern tourism trends and their impact on a community’s sense of localness. Further research is needed to unravel the implications of these dynamics for community wellbeing from a community sustainability and resilience perspective.
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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 | 0.001 | 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".