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Record W7094720183

A Institucionalização das Relações Externas Subnacionais: um estudo comparado das cidades de São Paulo e Toronto

2016· article· pt· W7094720183 on OpenAlexaboutno aff

Bibliographic record

VenueAmericanae (AECID Library) · 2016
Typearticle
Languagept
FieldSocial Sciences
TopicGlobal Urban Networks and Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Vulnerability (computing)ResidenceWork (physics)Politics
DOInot available

Abstract

fetched live from OpenAlex

A despeito da crescente literatura sobre a atuação internacional dos governos locais, permanece a percepção de que faltam perspectivas teóricas e empíricas que abordem os fatores que influenciam na formação das estruturas e estratégias internacionais na gestão pública local. Tendo em vista tais carências, a presente tese tem por objetivos apresentar (i) uma discussão teórica e conceitual sobre o tema, propondo a utilização do termo \\"relações externas subnacionais\\" como conceito mais adequado à descrição do fenômeno em estudo; (ii) um instrumento de análise que relaciona os principais fatores impulsionadores das relações externas subnacionais propostos por Kuznetsov (2015) aos três níveis da paradiplomacia propostos por Lecours (2008) - econômico, político e de cooperação; e (iii) uma análise comparativa dos casos de São Paulo e Toronto, explorando os respectivos processos de institucionalização das relações externas destas duas cidades. Analisando-se o processo de institucionalização das relações externas na gestão local das duas cidades, verificou-se a existência de três principais aspectos que influenciaram tal processo: (i) o contexto econômico, político e social de cada cidade; (ii) a relação entre o tipo de federalismo existente no Brasil e Canadá e o estabelecimento de relações externas no nível local; e (iii) o perfil de atuação do gestor público local.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score0.228

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.009
Science and technology studies0.0090.007
Scholarly communication0.0060.001
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.018
GPT teacher head0.295
Teacher spread0.277 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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