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Record W2501482767 · doi:10.1057/9781137532299_3

Soft Power and the Recalibration of Middle Powers: South Korea as an East Asian Leader and Canada as the Exemplar of the Traditional Model

2015· book-chapter· en· W2501482767 on OpenAlexaboutno aff
Andrew F. Cooper

Bibliographic record

VenuePalgrave Macmillan US eBooks · 2015
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicDefense, Military, and Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMiddle EastMiddle powerRelocationPolitical sciencePower (physics)Scope (computer science)Political economyDevelopment economicsSociologyComputer scienceEconomicsForeign policyPolitics

Abstract

fetched live from OpenAlex

The reshaping of the global system requires a fundamental rethinking of what middle powers need to do to navigate the fast-shifting global geometry of power. In a world that privileges scaling up, across the spectrum from big emerging countries to an overarching concert of powers with an extended scope of regulatory authority, and elaborate and well-resourced public-private transnational networks, secondary players could well be marginalized. However, the middle power model exhibits an impressive—albeit not unchallenged—capacity for revitalization, as in past eras of transition with a shift away from a unipolar locus of power. 1 Moreover, there is strong evidence that this trajectory of relocation can move toward an extension as opposed to a contraction, beyond the model of traditional middle powers. What can be described as an extended “rising middle,” encompassing both established and nontraditional middle powers, if still structurally constrained in many ways, exhibits a capacity for innovation as both receptors and agents of change.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.965
Threshold uncertainty score0.955

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.066
GPT teacher head0.211
Teacher spread0.145 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations2
Published2015
Admission routes1
Has abstractyes

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