Introduction to Indigenous Tourism in Australia and New Zealand
Bibliographic record
Abstract
Our shared global history has been shaped by travel for a range of reasons,\nincluding trade, migration and/or the desire to explore. It was in the 19th\ncentury when the trend for adventure and to experience the 'exotic other'\n(Beteille, 1998; McLaren 1999; Meadows, 2001) gained momentum and was\ntaken up by the European elite, writers, artists, anthropologists and scientists\n(MacCannell, 1984) who sought, among other things, opportunities to\nvisit distant lands and see their 'exotic' inhabitants. These novel Indigenous\ntourism experiences could be found around the globe and ranged from\nMaori cultural performances in New Zealand, observing Sarni cultural traditions\nin Scandinavia, and visiting reservations of the First Nations peoples\nof the USA and Canada, to experiencing Aboriginal cultural ceremonies in\nAustralia (Whitford & Ruhanen, 2016).
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".