Adapting to climate change and climate policy: progress, problems and potentials
Bibliographic record
Abstract
This introductory paper discusses tourism's role in relation to climate change mitigation and adaptation, at a time when climate change is at the forefront of many political discussions, including the 2009 Climate Summit in Copenhagen, and many business decisions. The development of tourism research in response to climate change in the past 25 years is outlined and limitations are identified. The paper also argues that while growing engagement with the challenge of climate change is evident across the tourism industry, this is still limited and not widespread. The minor role played by tourism interests in the international climate negotiations in Copenhagen is noted and discussed. Questions are raised around the willingness and ability of both the tourism industry and tourists to significantly reduce global emissions. The papers brought together in this Special Issue (Journal of Sustainable Tourism, 18.3) both highlight key challenges that tourism faces in its attempts to better understand and manage the problem of climate change, and suggest valuable ways forward.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.010 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".