Bibliographic record
Abstract
This presentation takes a critical approach to the dynamics and effects of “mass tourism” in the Global South, particularly in Lake Toba, Indonesia. This analysis rests on the corpus of my past and ongoing research surrounding economics, colonial policy, and ethnopolitics in the region (see bibliography). I explore the complex terrain of the contemporary tourism industry of Indonesia as a case study into the often-invisible negative impacts of mass tourism on Indigenous communities in a globalised setting. Consequently, for the purposes of the presentation, I plan to expand the discussion beyond my particular research context to illustrate how mass tourism produces negative outcomes among communities across the world in areas such as Latin America, Africa, and South Asia. My work thus endeavours to question how erroneous colonial discourses remain present and powerful in the ways in which contemporary tourism has evolved and is conducted. The presentation meshes well with the theme of this year’s conference; the archives are a powerful engine of misinformation in historical analyses. The goal is to illustrate how colonial misinformation campaigns—represented and empowered through the archives—continue to produce harmful bodies of knowledge (discourses) with real impacts on the politics, economies, and societies of today. I thus hope to bring a critical discussion to the conference that interrogates assumptions surrounding the supposed neutrality of tourism as commonly expressed in Western society.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".