Regenerative leisure and tourism: a pathway for mindful futures
Bibliographic record
Abstract
The emergence of regenerative tourism has gained worldwide momentum to raise awareness of the environmental and sociocultural impacts of recreational activities in host environments. The article examines leisure as human behaviour in its past, present and future perspectives to identify the current and future avenues of regeneration in leisure and tourist experiences. Although regenerative practices are much older than the COVID-19 pandemic, the current situation necessitates a focus on regenerative understanding that should be integrated into local systems both in the short and long term. Results suggest that to move beyond sustainability and the confines of capitalism, regeneration must be planned and developed in line with Indigenous values. Its effectiveness in reshaping leisure and tourism practices will depend on a collective commitment to finding innovative solutions that benefit the natural world and the diverse communities that interact with it because regeneration looks holistically at the relationship between humans and nature.
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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 | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.050 |
| Scholarly communication | 0.015 | 0.013 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 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".