Bibliographic record
Abstract
Ecotourism has put pressure on the Costa Rican peasant not only to get a job in the ecotourism industry, but also participate in the ideology of nature-as-aesthetic - that is, the view that nature is a spectacle that must be experienced for its authenticity in a world where unchecked consumption has destroyed much of the "pristine" natural world. Costa Rica, which still has much of its rain forests, stands in a position to sidestep global trends and forestall consumption of their economic base in favour of turning the forest into another kind of resource, one that can be exploited for spectacle, and therefore without consuming it. However, one cannot claim that a Costa Rican worker's move from a peasant position to that of a tourism worker has been voluntary. This essay will marshal secondary research and first-hand tourist experience to show that the Costa Rican has been strongly influenced by lobby groups, government education programs and forest development projects which corral them into a position as "aesthetic labourer," one who must satisfy the ecotourist's desire for spectacle. For the most part, this has been accomplished, and now the process of education or indoctrination is self-perpetuating, but the industry itself may not be. The ecotourism industry will still have to change consumption patterns and avoid the ideological pitfall that consumption is always total and inevitable.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".