Degrowing tourism: rethinking tourism
Bibliographic record
Abstract
Concerns with growth have steadily advanced since the Limits to Growth report due particularly to human impacts on the natural environment. Since that time, neoliberal capitalism has become increasingly reliant on growth exacerbating these problems. The destructive outcomes of these strategies has led to a growing interest in degrowth. Analysts are examining how we can create economies that eschew a growth imperative while still supporting human thriving. Tourism as a key facet of capitalism is implicated in these issues and recent concerns with “overtourism” are only one symptom of the problem. This article presents a conceptual consideration of issues of degrowth in tourism. It examines current tensions in international mobility and argues just and sustainable degrowth will require greater attention to equity. This analysis suggests that essential to such an agenda is redefining tourism to focus on the rights of local communities and a rebuilding of the social capacities of tourism. This article argues for the redefinition of tourism in order to place the rights of local communities above the rights of tourists for holidays and the rights of tourism corporates to make profits.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.037 |
| Scholarly communication | 0.013 | 0.014 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| 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 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".