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Participação social na gestão de espaços urbanos para o turismo: uma análise da região da Praia Grande – São Luís (Edição 513)

2020· article· pt· W3123158070 on OpenAlexaff
Vanderley Rabelo de Jesus, Conceição de Maria Belfort de Carvalho

Bibliographic record

VenuePapers do NAEA · 2020
Typearticle
Languagept
FieldSocial Sciences
TopicUrban Development and Societal Issues
Canadian institutionsNorthwestern Polytechnic
FundersUniversidade Federal do Maranhão
KeywordsHumanitiesPolitical scienceGeographyArt

Abstract

fetched live from OpenAlex

O turismo enquanto fenômeno econômico e social potencializa o desenvolvimento local, promovendo uma série de alterações nos espaços urbanos da cidade de São Luís-MA, com ênfase naqueles da região da Praia Grande, onde também estão concentrados grande parte dos espaços históricos e turísticos da cidade. Esta pesquisa objetiva estudar a participação social na gestão desses espaços por meio da análise da estrutura dos projetos de lazer e turismo Pôr do Sol no Palácio e Quarta do Tambor, realizados no Palácio dos Leões e na Casa do Tambor de Crioula, respectivamente. Estes projetos possibilitam um maior acesso da população às manifestações culturais, evidenciado a preocupação latente do Poder Público em desenvolver alternativas de lazer e turismo à moradores e turistas. Entretanto, a participação dos moradores locais ainda acontece de forma limitada, compreendendo apenas a participação passiva como espectadores. Em nenhuma de suas fases os gestores apresentam mecanismos de participação social no planejamento e gestão desses projetos, comprometendo a democratização ampla e horizontal da gestão dos espaços da cidade.Palavras-chave: Participação Social. Gestão. Espaço Urbano. Turismo. Praia Grande-São Luís.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.635
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.100
GPT teacher head0.332
Teacher spread0.232 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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