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Record W2038052611 · doi:10.1080/01900690500455305

Transnationalism and Subnational Paradiplomacy: Are Governance Networks Perforating Sovereignty?

2006· article· en· W2038052611 on OpenAlexaboutno aff
Matthew S. Mingus

Bibliographic record

VenueInternational Journal of Public Administration · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsSovereigntyTransnationalismState (computer science)Corporate governanceTreatyGlobalizationPolitical sciencePower (physics)International relationsCommissionGlobal governancePolitical economyEconomic systemSociologyEconomicsPoliticsLawManagement

Abstract

fetched live from OpenAlex

Has the traditional view of the nation-state as the only sovereign actor in international relations given way to a new model with globalization, the rise of subnational governments, and the potential weakening of the state implied by the governance and networks literature? Cross-border interactions now involve an enlarged cast of characters and much theoretical literature suggests that the nation-state is therefore losing power. This article presents new survey research of the Pacific Salmon Commission, a binational organization established under the Canada-U.S. Pacific Salmon Treaty in 1985. While such institutions have assumed a significant role in international relations, this research sought to determine if this represents a reduction of national sovereignty through increased power for either non-state actors or subnational governments.

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)0.008
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 score0.008
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.017
Scholarly communication0.0080.010
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.021
GPT teacher head0.306
Teacher spread0.285 · 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

Citations23
Published2006
Admission routes1
Has abstractyes

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