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Record W2034515729 · doi:10.5380/tes.v4i1.21380

Turismo e patrimônio cultural sob o olhar do sujeito-morador: uma leitura do bairro da Praia Grande, São Luís, Maranhão (Brasil)

2011· article· pt· W2034515729 on OpenAlexaff
Karoliny Diniz Carvalho, Maria de Lourdes Netto Simões

Bibliographic record

VenueTurismo e Sociedade · 2011
Typearticle
Languagept
FieldSocial Sciences
TopicUrban Development and Societal Issues
Canadian institutionsNorthwestern Polytechnic
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

O artigo objetiva analisar a visão dos moradores do bairro da Praia Grande na cidade de São Luís, Maranhão (Brasil), sobre as políticas públicas de revitalização da área e o aproveitamento turístico do seu patrimônio cultural. Utiliza a abordagem qualitativa, mediante pesquisa bibliográfica e de campo. Por meio de uma amostra não-probabilística por intencionalidade, realizaram-se entrevistas semi-estruturadas junto à comunidade no intuito de identificar e discutir os reflexos da relação entre turismo e patrimônio na dinâmica sociocultural local. Constatou-se a ausência de participação dos moradores nas ações de preservação e de desenvolvimento turístico do bairro da Praia Grande, além de conflitos em torno da apropriação do patrimônio local. O estudo aponta para a necessidade de inserir os moradores no processo de valorização do patrimônio a fim de conciliar os usos sociais e turísticos, possibilitando, assim, a sustentabilidade na relação turismo e patrimônio.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.173

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 studies0.0040.003
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.085
GPT teacher head0.314
Teacher spread0.230 · 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 designQualitative
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

Citations1
Published2011
Admission routes1
Has abstractyes

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