Exploring the interrelations between sustainable and indigenous tourism : an analysis of two tourism organizations in Sweden and Canada through the lens of sustainability
Bibliographic record
Abstract
Sustainability in the tourism industry necessitates ongoing development. This thesis investigates the interrelations between indigenous and sustainable tourism in relation to sustainability definitions and specifically examines the contributions of indigenous values and knowledge to sustainability within the tourism industry. Through a qualitative methodology, two case studies were conducted with semi-structured interviews of two tourist organizations in Sweden and Canada, accompanied by a discourse analysis. The results show that the sustainability outcomes of indigenous tourism practices corresponded to sustainability in sustainable tourism and is in many ways aligned with the UNs global framework. Differences were identified in how sustainability was initiated and achieved. Possible improvements in sustainable tourism could be inspired by indigenous tourism. Key themes were connectedness and appreciation of the land and keeping operations localized. In a broader perspective indigenous knowledge could provide complementary approaches to the global framework of sustainable development in tourism which would lead to a more diversified, localized and authenticity-based development. The thesis contributes to the ongoing discourse on sustainable development in the tourism industry and emphasizes the importance of reflecting on the contested concept of sustainability.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.019 | 0.008 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".