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Subnational governments in international affairs: a study on theory and practice of paradiplomacy

2011· dissertation· en· W2150798494 on OpenAlexaboutno aff
А. С. Кузнецов

Bibliographic record

VenueOpen MIND · 2011
Typedissertation
Languageen
FieldSocial Sciences
TopicCross-Border Cooperation and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsFederalismPolitical scienceInternational relationsMulti-level governanceRegionalism (politics)DiplomacyPublic administrationCorporate governancePoliticsRegional scienceSociologyLawDemocracyManagementEconomics

Abstract

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It has become commonplace to assert that the participation of regions (subnational units) (provinces in Canada, cantons in Switzerland, oblasts in Russia, landers in Germany, etc.) in international relations is one of the clearest examples of the globalization processes. This kind of activity has often been called “paradiplomacy.” The aim of this PhD dissertation is to examine the theoretical dimensions of paradiplomacy in the academic discourse of the last four decades, which appeared in the North American and European political science literature on federalism, regionalism and international relations. Through a systematization of the different approaches to the understanding of constituent diplomacy, I try to build in my dissertation project an integrative theoretical explanatory framework that can guide research on regional governments’ involvement in international affairs. In terms of empirical analysis, my PhD project tackles the case study of paradiplomatic activities of the province of Alberta in Canada in order to complement my focus on the theoretical dimension. The scholarly contribution of my PhD dissertation project is important first for all those who study federalism, multi-level governance and IR; the comprehensive examination of the phenomenon of paradiplomacy sheds light on the development of federalism and multi-level governance in a new global environment and contributes to the debates on the issue of “actorness” in contemporary international affairs. One of the most significant results of the dissertation is the constructed explanatory framework that can be used as a guide for the study of the external activities of different subnational governments in various contexts.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.568
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.458
Teacher spread0.402 · 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 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

Citations1
Published2011
Admission routes1
Has abstractyes

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