Sustainable Tourism and the Grand Challenge of Climate Change
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
Global climate change represents a grand challenge for society, one that is increasingly influencing tourism sector investment, planning, operations, and demand. The paper provides an overview of the core challenges climate change poses to sustainable tourism, key knowledge gaps, and the state of preparedness in the tourism sector. As we begin what is widely considered a decisive climate decade, low sectoral preparedness should be highly disconcerting for the tourism community. Put bluntly, what we have done for the past 30 years has not prepared the sector for the next 30 years of accelerating climate change impacts and the transformation to a decarbonized global economy. The transition from two decades of awareness raising and ambition setting to a decade of determined collective response has massive knowledge requirements and necessitates broad sectoral commitments to: (1) improved communications and knowledge mobilization, (2) increased research capacity and interdisciplinary collaboration, and (3) strategic policy and planning engagement. We in the tourism and sustainability communities must answer this clarion call to shape the future of tourism in a decarbonized and post +3 °C world, for there can be no sustainable tourism if we fail on climate change.
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 | 0.004 | 0.005 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 it