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Record W2557969357 · doi:10.5539/jms.v6n4p50

Sustainability of the Tourism National Plans from 2003 to 2016 in Brazil

2016· article· en· W2557969357 on OpenAlexvenueno aff
Paulo Santos de Almeida, Anderson Soares Lopes

Bibliographic record

VenueJournal of Management and Sustainability · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
Fundersnot available
KeywordsTourismSustainabilityConsolidation (business)PoliticsTourism geographyExploratory researchSocial sustainabilityPolitical sciencePerspective (graphical)Plan (archaeology)BusinessEnvironmental planningEnvironmental resource managementPublic relationsPublic administrationSociologyGeographyEconomicsSocial science

Abstract

fetched live from OpenAlex

This study investigates the issue of sustainability in the tourism sector, defining both as the Tourism National Plans studied from 2003 to 2016. Thus it was first used for exploratory research by proposing to observe books, articles and relevant materials addressing issues related to sustainability and jointly tourism, sometimes arranged by organizations such as the World Health Organization-WHO, United Environment Programme-UNEP and WWF Mediterranean. In the sequence, it was held a documentary research to individually analyze the perspective of sustainability in the Tourism National Plan of 2003-2007, 2007-2010 and 2013-2016. On the other hand, the results show that even before the development of these policies, it is observed the absence of the consolidation of these proposed actions in the national tourism sector in this way it is understood that these proposals serve to supply political desires and supporters. From the perspective of sustainability by these public policies, the elaborate planning verified did not represent Brazil’s actions of environmental preservation and improvement of social indicators that are directly related to tourism.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score0.373

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.317
Teacher spread0.306 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2016
Admission routes1
Has abstractyes

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