Conflicts, battlefields, indigenous peoples and tourism: addressing dissonant heritage in warfare tourism in Australia and North America in the twenty‐first century
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose The purpose of this paper is to examine the omission of Indigenous narratives in battlefields and sites of conflicts while also highlighting how certain battlefields and sites of conflicts have attempted to address dissonant heritage by diversifying interpretation strategies and implementing elements of collaborative management approaches, thereby addressing Indigenous erasure. Design/methodology/approach The study uses a content analysis, field studies and case studies to examine dissonant heritage in warfare tourism sites involving Indigenous peoples in Australia and North America. Findings The content analysis reveals that aboriginal erasure is still prevalent within the literature on warfare and battlefield tourism. However, the case studies suggest that dissonant heritage in warfare tourism is being addressed through collaborative management strategies and culturally sensitive interpretation strategies. Research limitations/implications The content analysis is limited to tourism journals. The case studies highlight sites that are using adaptive management and integrating Indigenous peoples. Practical implications The study of dissonant heritage and warfare tourism, while relatively young, is beginning to address aboriginal erasure and cultural dissonance; this study is a contribution to this area of research. Social implications Addressing the impacts of aboriginal erasure and heritage dissonance in colonial settings heals the hurts of the past, while empowering communities. It also provides Indigenous communities with opportunities to diversify current tourism products. Originality/value This is a collaborative international paper involving Indigenous and non‐Indigenous scholars from Australia, Canada, and the USA.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it