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NOTAS SOBRE AS POLÍTICAS TERRITORIAIS NO BRASIL E A INSTITUCIONALIZAÇÃO DA REGIÃO METROPOLITANA DO VALE DO PARAÍBA E LITORAL NORTE (RMVPLN)

2017· article· pt· W4312920704 on OpenAlexaff
Marco Antonio Henrique, Adriane Aparecida Moreira de Souza, Paulo Romano Reschilian

Bibliographic record

VenueACTA Geográfica · 2017
Typearticle
Languagept
FieldSocial Sciences
TopicUrban Development and Societal Issues
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

O Brasil desde seus primórdios teve como desafio o ordenamento da ocupação e a integração nacional. Com o aumento das atividades econômicas nas cidades, reflexo da dinâmica do capital e que trouxe como consequência o crescimento urbano desordenado, houve a necessidade de se planejar e desenvolver políticas de ordenamento territorial. Por meio de pesquisas bibliográfica e documental referentes à implementação de políticas territoriais, esse estudo discute a criação de regiões metropolitanas no País. Conclui-se que, embora na década de 1970, esse tipo de arranjo institucional sinalizasse para uma centralização política do governo federal, em sua essência propunha a integração e articulação de municípios e a elaboração e implementação de políticas coordenadas que favorecessem o aspecto econômico regional. Com a descentralização política advinda da Constituição Federal de 1988, a criação de tais regiões passou a ser de responsabilidade dos governos estaduais, ao mesmo tempo, que garantiu aos municípios a autonomia na elaboração de políticas de desenvolvimento local. Nesse aspecto, o maior desafio encontrado na governança da Região Metropolitana do Vale do Paraíba e Litoral Norte (RMVPLN), instituída em 2012 é o da implementação de políticas coordenadas que suplantem as diferenças econômicas e promovam o desenvolvimento social dos 39 municípios que a integram.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.390
Threshold uncertainty score0.775

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 studies0.0020.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.051
GPT teacher head0.353
Teacher spread0.302 · 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 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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