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Record W2586564080 · doi:10.1177/0020702016686385

Positioning the third wave of middle power diplomacy: Institutional elevation, practice limitations

2016· article· en· W2586564080 on OpenAlexafffund
Andrew F. Cooper, Emel Parlar Dal

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsMultilateralismMiddle powerDiplomacyGlobal governanceInstitutionalisationMiddle EastPolitical scienceCollective actionDemocratizationPolitical economyPower (physics)Development economicsSociologyPoliticsEconomicsDemocracyLaw

Abstract

fetched live from OpenAlex

This article argues that middle power diplomacy can be identified as having gone through three distinct waves. The first is connected with the immediate post-1945 global order, with a focus on multilateralism via the United Nations and related bodies. The second moved to ad hoc bursts of activism related to specific issue area niches. The third and current wave, by contrast, is embedded in the informal institutionalization associated with the G20. Just as the BRICS have used the G20 as a catalyst for differentiated activities both around and independent of the G20, the “missing middle” in the G20 (countries increasingly portrayed as middle powers beyond both the BRICS and the G7) have begun to explore the possibility of collective action. MIKTA (Mexico, Indonesia, Turkey, South Korea, and Australia), while possibly a significant advance in global governance, has the potential of hardening the categories of countries identified as middle powers. At the same time, the MIKTA countries face a number of serious constraints in terms of this global reach. Institutional elevation is compromised by practice limitations, most notably the hold of regional imperatives.

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)0.033
metaresearch head score (Gemma)0.042
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 score0.988
Threshold uncertainty score0.176

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.042
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.026
Scholarly communication0.0210.015
Open science0.0020.013
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0070.001

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 head0.029
GPT teacher head0.333
Teacher spread0.304 · 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

Citations41
Published2016
Admission routes2
Has abstractyes

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