Island tourism: destinations: an editorial introduction to the special issue
Bibliographic record
Abstract
Purpose This editorial aims to situate the papers chosen for this special issue within academic literature and identify their contributions to new knowledge. Design/methodology/approach The editorial first discusses tourism research literature pertinent to the idiosyncrasies of destination management in island contexts. Second, the paper identifies the contributions made to this field by the authors and the implications of their innovative research for island tourism and destination management. Findings Each paper contributes, in its way, to the field of island tourism, either by integration of explorations of theory, shifting paradigms or revealing new knowledge. This special issue contains two seminal papers by top academic leaders of the fields of islandness and HRM in island destinations. It also presents papers that comment on destination management issues at macro and micro levels. Originality/value Collectively this collection of papers offers new perspectives concerning the challenges of creating destination image in peripheral locations, the impacts of global mobilities (inward and outward) on destination labor markets, models for sustainable destination development, the welcome extended to visitors and returning locals by island communities, destination positioning strategies and service interactions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".