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Record W2200858285 · doi:10.3895/rbpd.v3n1.3572

Um retrato da evolução urbana de Viçosa-MG: impactos da federalização da UFV sobre a cidade (1969-2014)

2015· article· pt· W2200858285 on OpenAlexaff
Ana María, Teresa Cristina de Almeida Faria, Ítalo Itamar Caixeiro Stephan

Bibliographic record

VenueRevista Brasileira de Planejamento e Desenvolvimento · 2015
Typearticle
Languagept
FieldSocial Sciences
TopicUrban Development and Societal Issues
Canadian institutionsTechnical University of Nova Scotia
Fundersnot available
KeywordsPolitical scienceHumanitiesAgricultural scienceBusinessArtBiology

Abstract

fetched live from OpenAlex

Viçosa, Minas Gerais, possui hoje seu nome evidenciado pela Universidade Federal de Viçosa (UFV), que nela se inseriu na segunda década do século XX. Essa ação condicionou o município a se tornar um polo educacional de destaque em Minas Gerais, no Brasil e no mundo. O trabalho consistiu na apresentação de um estudo de caso que teve como objetivo apresentar reflexões acerca da evolução urbana da cidade sob a luz da federalização da UFV. Esse processo, ocorrido no final dos anos 1960, implicou mudanças significativas no espaço urbano da cidade, que se expandiu tanto verticalmente, com a construção de edifícios nas áreas centrais para atender à demanda proveniente da UFV; bem como se espraiou horizontalmente, com a proliferação de parcelamentos irregulares de solo nas franjas urbanas e em áreas rurais com a construção de loteamentos e condomínios fechados. Torna-se necessário pensar no impacto desse espraiamento, sobretudo em direção às áreas periurbanas e rurais. A cidade se expande horizontalmente e os vazios urbanos são deixados para trás.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.343
Threshold uncertainty score0.682

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.087
GPT teacher head0.338
Teacher spread0.251 · 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

Citations9
Published2015
Admission routes1
Has abstractyes

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