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Record W4307808888 · doi:10.17271/23188472107820223263

(Re)significations of the Cuiaba port landscape: Implementation of historic tourism

2022· article· en· W4307808888 on OpenAlexaboutno aff
Rosana Lia Ravache

Bibliographic record

VenueRevista Nacional de Gerenciamento de Cidades · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Abandonment (legal)TourismPort (circuit theory)Fish <Actinopterygii>Value (mathematics)Historic siteGeographyHistoryArchaeologyLawPolitical scienceFisheryEngineeringComputer science

Abstract

fetched live from OpenAlex

To speak about the quarter of Porto, in Cuiabá, is like tracing a bias in the history of Mato Grosso, which started there, in Porto Geral (General Port) at the beginning of the eighteenth century. Beyond the exponential historical value, the quarter has a proper dynamic, a psychosocial reality developed from the movement led by shipments and landings and, later, by the Fish Market that there is installed on behalf of the facility in the landing of fish, fruit and vegetables comings from "river down". This article focuses on the urban reality of the quarter that grew to the edge of Vila Real do Bom Jesus, with the proposal to discuss the abandonment allowed by the public power, one of the reasons for the exit of traditional families, who had left backward only huge houses, slowly invaded by prostitution, the allurement of children for sex and by the trafficking of narcotics. The proposal is to analyze the Docks Area, aiming to (re)signify it with an architectural revitalization of the neighborhood to meet, more specifically, the demand interested in historic 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 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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.438
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.335
Teacher spread0.308 · 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 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
Published2022
Admission routes1
Has abstractyes

Explore more

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