Rethinking destination success: An island perspective
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The global tourism industry has shifted due to COVID-19, with tourismdependent islands facing a dire need to realign and reconstruct their tourism offerings to remain competitive. The traditional mass tourism model that has dominated island development has to be re-examined in this new tourism environment with new mindsets regarding the current conditions for destination success. This paper aims to promote an understanding of destination success in an island context and to identify which determinants are critical during this period to achieve optimal destination success. The findings from this study suggest that island destinations are at a critical turning point, and key strategic shifts are necessary to enable future destination success as defined by the Destination Management Organisations. There is a need to shift from management to stewardship, from product to experience, from quantity to quality, and from stakeholder presence to engagement. Core to these strategic shifts is an incorporation of locals as central to the quality of the overall experience, with less reliance on the natural resources (sun, sea, and sand) to which these island destinations have been beholden to for decades.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 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) | 0.001 | 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 it