Tourism Development Forms: A sociological approach to the management of nature-based destinations. The case of Aysén, Chilean Patagonia
Bibliographic record
Abstract
Using the theories of Sociological Worlds, this article presents empirical research into the underlying logics of tourism development in a nature-based tourism area. Sociological behaviors underlie development trends; people act according to values, representations, and justifications. The analysis of tourism stakeholders’ discourses reveals specific relationships and uses of natural assets of the territory in their projects. Actors implement infrastructure, promote places in which they reside or visit according to ideals, principles, goals, and preferential relationships that shape local development. By analyzing data from the Aysén region in Chilean Patagonia, seven Tourism Development Forms are illustrated: governmental, commercial, technological- industrial, ecological, alternative, traditionalist, and recreational. Particularities exist within each one, according to the stakeholder’s specific relationship to nature, being either more productive, anthropocentric, or ecological. Identifying and describing these Tourism Development Forms in a territory informs of issues which must be addressed to better manage emerging nature-based destinations.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".