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Record W258416276 · doi:10.7784/rbtur.v6i1.477

Park roads: a comparative study for definitions for a Brazilian touristic experience.

2012· article· en· W258416276 on OpenAlexaboutno aff
Luciano Torres Tricárico, Josildete Pereira de Oliveira, Diva de Mello Rossini, Débora Ioná Carvalho

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Sustainability and Education
Canadian institutionsnot available
Fundersnot available
KeywordsTourismGeographyDestinationsRegional scienceEconomic geographyEnvironmental planningAdvertisingBusinessArchaeology

Abstract

fetched live from OpenAlex

The configuration of park roads in the Brazilian experience is very recent. Yet, it is a precursor for a worldwide fact, especially regarding the progress of legislation that can support this demonstration space to promote the protection of an ecological corridor with touristic uses, it is the thought of park road category in the National System of Conservation Units (SNUC). However, compared to the foreign experience, mainly Canadian and American, we find a mismatch in the gains that the realization of a park road can lead to environmental planning and tourism in Brazil. The interpretive method of this research is based on Semiotics by Charles Sanders Peirce, highlighting the role of representation as the election of two signs bearing the ideologies of the issuer. Different modes of park road representation may reveal a "matrix" of common content, denoted in foreign or national experience, and between the two; so, characteristics that identify them could be interpreted. For this, the methodology is to study the cases of park road in Brazil and abroad, in order to define specific parameters from one case to another, as well as common elements between the two cases.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.003
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.000

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.

Opus teacher head0.389
GPT teacher head0.579
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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