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Record W4301211625

Paradiplomacy as a Way of Promotion of Regional Identity of the Subjects of Federations

2018· article· en· W4301211625 on OpenAlexaboutno aff
Yury Akimov

Bibliographic record

VenueRePEc: Research Papers in Economics · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCross-Border Cooperation and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsPromotion (chess)Identity (music)Political sciencePublic administrationRegional scienceSociologyLawArtAesthetics
DOInot available

Abstract

fetched live from OpenAlex

The article is devoted to the international activity of the subjects of federations, to the theoretical approaches to this phenomenon as well as its practical aspects. Special attention is given to the international relations of the subjects with some ethnic and/or linguistic specificity. It analyses the interaction between international activities of such subjects and the promotion of their special regional identity. This phenomenon is described as identifying paradiplomacy. The article deals with its constitutional and legal status, its interconnection with general principles of federalism, specificity of different types of federalism. The examples include the international activity of Quebec, a French-speaking Canadian province, which is one of the most active and visible non-sovereign territorial actors on the world stage for several decades since 1960s till present. It also deals with international activity of the republic of Tatarstan and some other republics of the Russian Federation. The article shows the positive and the negative sides of the identifying paradiplomacy.

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)0.004
metaresearch head score (Gemma)0.004
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: none
Teacher disagreement score0.005
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.013
Scholarly communication0.0050.004
Open science0.0010.007
Research integrity0.0010.001
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 head0.056
GPT teacher head0.417
Teacher spread0.361 · 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".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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Same venueRePEc: Research Papers in EconomicsSame topicCross-Border Cooperation and IntegrationFrench-language works237,207