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Record W3039547665 · doi:10.1142/s1013251120400081

Between a Rock and a Hard Place: The Dilemmas of Middle Powers

2020· article· en· W3039547665 on OpenAlexaboutno aff
Brian L. Job

Bibliographic record

VenueIssues & Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsnot available
Fundersnot available
KeywordsMiddle powerMultilateralismDiplomacyMiddle EastRivalryPolitical scienceChinaBeijingOrder (exchange)Power (physics)Political economyInternational tradeEconomySociologyLawEconomicsPolitics

Abstract

fetched live from OpenAlex

“Middle powers,” variously defined, have served relevant and significant roles in the post-WWII regional and global orders, facilitated by structural conditions of “long peace” among great powers and proactive leadership by and among creative middle powers. Within the complex Asia-Pacific security order, “middle powers” such as Australia, Canada, and South Korea have had the “space” to engage the non-like minded and advance multilateralism with security guarantees from the US. However, Beijing and Washington today are eliminating this space and its associated choices for middle-power diplomacy by increasingly characterizing their rivalry as a confrontation of “existential threats” between incompatible “civilizations” and securitizing trade and technology. China and the US are each selectively ignoring or purposely eroding key aspects of a rules-based international order. This paper highlights the dilemmas of South Korea, Australia, and Canada, middle powers who have found themselves individually and collectively “stuck” facing contradictory global and regional policy choices.

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)0.012
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.055
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0230.074
Scholarly communication0.0210.013
Open science0.0010.010
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0040.001

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 head0.136
GPT teacher head0.389
Teacher spread0.252 · 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 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

Citations7
Published2020
Admission routes1
Has abstractyes

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