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Expansão Urbana e Formação de Periferias nas Cidades Pequenas do Portal do Sertão

2021· article· pt· W3179658284 on OpenAlexaff
Ythana De Oliveira Santos, Jânio Santos, Vinicus Da Silva Machado Borges

Bibliographic record

VenueRevista Continentes · 2021
Typearticle
Languagept
FieldSocial Sciences
TopicUrban Development and Societal Issues
Canadian institutionsThinkpath Engineering Services (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsGeographyArt

Abstract

fetched live from OpenAlex

O artigo tem como objetivo analisar os fatores que influenciaram a expansão das pequenas cidades do Portal do Sertão, investigar as transformações nas estruturas urbanas e indicar os motivos que provocaram a formação de periferias em algumas delas. Para tanto, foram realizadas pesquisas bibliográficas, documentais e elaborados mapas temáticos. No Portal do Sertão, a expansão ocorreu face ações governamentais, luta por moradia e oferta de residências por agentes imobiliários. Nem todas cidades pequenas expandiram e formaram periferias. Onde o fenômeno é visível, se processa de diferentes formas e corrobora desigualdades, traduzidas em indicadores demográficos, de renda e inadequação de moradias. Por outro lado, envolve a leitura sobre escalas e dinâmicas nas quais cada cidade está inserida.

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)0.002
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 score0.016
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0020.001
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.001

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 head0.030
GPT teacher head0.303
Teacher spread0.272 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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