Turismo em Unidades de Conservação: adaptação do método visitor activity management process (VAMP) para a caracterização do uso público e o manejo de visitantes no Parque Estadual da Ilha do Mel (PR)
Bibliographic record
Abstract
Among several methodological options available to the management of the impacts and handling of the visiting in the conservation units we have the Canadian Visitor Activity Management Process (VAMP). The method was adapted and applied to the State Park of Ilha do Mel (PEIM) in the coastline of the State of Parana to study its use by the public. In this context, these works have the central objective to expose the adoption of the VAMP and how it was adapted and applied to the conditions of the PEIM. The mechanism of this application, the generated information and the propositions to subsidize the handling of the public use of the Park, are presented as the results. Also considering that the VAMP, among the management of the impacts and handling of the public use methods in protected areas, presents more affinity with the profile studies, as well as the behavior and public perception in natural tourism 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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 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".