Envisioning a Sustainable, Resilient Tourism Future
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
Amid the COVID-19 pandemic, many studies have explored the impact and implications of this global crisis on tourism. This article, however, takes a unique approach by conducting a thematic review of more than 300 studies published on the Web of Science database during the pandemic, generating 12 topic clusters. With a strong focus on sustainability, the study’s objective is to encapsulate and present the responsibilities of tourism professionals, the desired behavior of tourists and host communities, and the research agenda for a more regenerative, resilient future for tourism. The overarching message that emerges from this in-depth analysis is one of change. The findings challenge all stakeholders to prioritize traveler safety, value the workforce, invest in technology, and adopt inclusive and sustainable approaches to product development based on lessons learned during the pandemic. Crucially, the article underscores the need for collaboration among all stakeholders, as it is only through collective action that a new, resilient path forward for tourism can be forged.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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