Ecological Rationalization and Performative Resistance in Natural Area Destinations
Bibliographic record
Abstract
A discursive analysis of natural area destinations is presented in this article, where it is argued that the management and use of natural areas for (eco) tourism is influenced by economic and institutional practices that contribute to rationalizing ‘Nature’ and the visitor experience. A brief look at some historical influences on nature-based tourism development in (post)-modernity sets the context for illustrating paradoxical discourses (e.g. neo-liberalism, ecological modernization and globalization) that structure and instrumentalize human relationships with the natural world. Viewing these natural areas as performance spaces helps to show how the multiplicity of discourses plays out and how nature and tourists are performatively engaged in these spaces. A conceptual analysis of performativity in relation to touristic spaces is presented and its potential to enable resistance to the rationalizations outlined in the article is examined. The possibility of a performative tourist ethic is discussed, based on a notion of reflexive praxis. Implications for (eco-) tourism research and practice are offered.
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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 | 0.010 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.067 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".