Tourism Platforms and the Digital Biopolitics of Nature: An Interface Analysis of TripAdvisor in Patagonia-Aysén, Chile
Bibliographic record
Abstract
This article investigates how digital platforms are implicated in the neoliberalization of conservation by turning nature and protected areas into tourism commodities. We mobilize Ash et al.’s (Citation2018) heuristic of unit, vibration, and tone to analyze TripAdvisor’s interfaces for contributing, exploring, and reviewing nature-based points of interest in Patagonia-Aysén, Chile. We contend that digital tourism platforms express what we term digital environmental biopower, which designates these platforms’ capacities to enlist digital users as agents who engage in biopolitical practices such as classifying, scoring, and raking natural areas as objects whose value is reliant on their tourism attributes. We argue that these digital modulations both sustain and are sustained by an environmental biopolitical regime in which “pristine” natural areas are “made to live” or “allowed to die” in the global digitally mediated (eco)tourism marketplace.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".