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Record W2785899851 · doi:10.30854/anf.v25.n44.2018.397

paradiplomacy of subnational governments in North America

2018· article· en· W2785899851 on OpenAlexaboutno aff
Roberto Zepeda

Bibliographic record

VenueÁnfora · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceAutonomyGovernment (linguistics)Corporate governanceJurisdictionDeliberationPublic administrationSovereigntyEconomic growthPoliticsBusinessEconomics

Abstract

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Objective: to determine the factors that have contributed to the expansion in the international activities of the subnational actors and to identify the issues that prevail in the relations between the Canadian provinces and the subnational states of North America. Likewise, to identify the strategies and mechanisms that favor the relationships between these subnational governments. Methodology: the qualitative methodological strategy comprises of two dimensions: the first focuses on the factors which explain these dynamics and on the conceptual revision to refer to the transnational activities of subnational governments in North America, in particular the paradiplomacy. The second one examines official information, reports and publications from national and subnational governments in the region. Subsequently, the international activities of these governments were examined to determine their nature, characteristics and objectives. Results: it was highlighted that the international activities of subnational governments are linked to economic development and to issues such as the environment, natural resources, sustainable development, security, culture, education, science and technology. They are carried out through institutional deliberation and decision-making forums, international offices and cooperation agreements. Conclusions: subnational governments contribute to the governance of North America, through the formulation of regional public policies to face common challenges. The agreements are limited in the areas of jurisdiction of the subnational governments and, at the same time, they show/disclose a certain degree of autonomy with respect to the central government.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.536
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.344
Teacher spread0.328 · 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 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

Citations1
Published2018
Admission routes1
Has abstractyes

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