Indigenous tourism research, past and present: where to from here?
Bibliographic record
Abstract
Indigenous tourism is a global phenomenon, encompassing a range of complex, multi-layered issues. The foci of Indigenous tourism research are multifaceted, reflecting a plethora of stakeholders with differing perspectives and values about the direction, development and sustainability of the sector. The academic literature consistently highlights the need for a more comprehensive understanding of Indigenous tourism and, specifically, one that takes into account the interests and values of its stakeholders. This paper provides a global overview of Indigenous tourism development and its international and national institutional links, concomitantly identifying and examining the trajectory of scholarly interest in Indigenous tourism from 1980 to 2014. An analysis of 403 published journal articles is supplemented with the perspectives of Indigenous tourism researchers. The results reveal that sustainability issues underpin and shape a substantive proportion of published Indigenous tourism research to date. The challenge now is to gain a more comprehensive understanding of Indigenous tourism from the perspective of Indigenous stakeholders, approaching its complexity in an iterative, adaptive and flexible style, and with affected stakeholders involved in the research process, knowledge creation and its outcomes. This is both an ethical imperative and a pragmatic approach to ensure the outcomes of research facilitate the sustainability of Indigenous tourism.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.021 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.009 | 0.020 |
| Scholarly communication | 0.024 | 0.038 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".