From ‘sustainable tourism’ to ‘sustainability transitions in tourism’?
Bibliographic record
Abstract
although sustainable tourism research is a rich and diverse field, it still suffers from a few important shortcomings.Negligible attention has been given to various possible pathways to sustainable tourism (as opposed to sustainable tourism as a 'goalpost') and there is an insufficient understanding of how the interconnections and interdependencies within tourism as a complex system shape the pursuit of sustainability.What is therefore needed is a sharper focus on the actual processes that must unfold for a transition to sustainable tourism to take place, and a better conceptualisation of the tourism industry as a multi-actor and multi-dimensional socio-technical system.We argue here that the sustainability transitions agenda, which has developed over the last two decades at the interface of innovation studies, evolutionary economics, studies of technology and science, and various other fields, offers a promising way forward for the desired pathway towards sustainable tourism to be comprehensively understood and more effectively followed.in order to set the scene for the individual contributions to this collection, we elaborate on this argument by highlighting the key strengths of the sustainability transitions agenda and identifying their potential to help tourism scholars move the work on sustainable tourism in new, unprecedented, and imperative directions.our overarching aim is to lay the foundations for bridging the gap between (sustainable) tourism research and the sustainability transitions literature to move this combined agenda forward. Sustainability transitions -a compass for tourism's guiding fiction?the CoP 28 UN Climate Conference recognised that 'transitioning away from fossil fuels in energy systems, in a just, orderly and equitable manner… so as to achieve net zero by 2050' is paramount in the decades ahead while acknowledging the myriad 'circumstances, pathways and approaches' to achieve this transition (United Nations
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.046 |
| Scholarly communication | 0.013 | 0.024 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.010 | 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".