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Record W7103192443 · doi:10.26767/1659

Norte-Sul: Perspectivas de desenvolvimento regional no Canadá (Quebec) e no Brasil

2020· article· pt· W7103192443 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2020
Typearticle
Languagept
FieldSocial Sciences
TopicUrban Development and Societal Issues
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Field (mathematics)Work (physics)Perspective (graphical)Order (exchange)

Abstract

fetched live from OpenAlex

Este artigo tem como objetivo refletir sobre as pesquisas realizadas na UNISC – Universidade de Santa Cruz do Sul e UQAR – Universidade do Quebec em Rimouski/Canadá, especialmente em torno dos Programas de Pós-Graduação em Desenvolvimento Regional, existentes nas duas universidades. O presente trabalho centra-se especificamente nas teorias de desenvolvimento regional desenvolvidas nestes dois locais: Quebec e Brasil. Primeiramente, um estado da arte será conduzido para termos uma síntese do trabalho conceitual em torno das tendências de desenvolvimento regional, tanto do Sul, quanto do Norte. A literatura mobilizou as diferentes bases de dados disponíveis na UQAR, Quebec, para compreender o significado atribuído ao conceito de desenvolvimento regional e os paradigmas que envolvem sua teoria. Em seguida, algumas reflexões serão apresentadas em torno do trabalho canadense sobre o modelo de desenvolvimento para determinar a transversalidade entre o Canadá e o Brasil e encaminhar algumas ideias para uma análise crítica da produção do espaço nas Américas, a perspectiva de habitação, bem como das atividades econômicas.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0040.004
Open science0.0050.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0420.001

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 head0.343
GPT teacher head0.535
Teacher spread0.192 · 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
Published2020
Admission routes1
Has abstractyes

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