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Record W7105844646 · doi:10.1093/jogss/ogaf031

Unipolarity, Grand Strategy, and the Economics Security Trade-Off

2025· article· en· W7105844646 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Global Security Studies · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDefense, Military, and Policy Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRivalryIncentiveTypologyFace (sociological concept)PoliticsPower (physics)

Abstract

fetched live from OpenAlex

Abstract A decade after Nuno Monteiro’s Theory of Unipolar Politics (TUP) appeared, major developments, from renewed great power rivalry to Russia’s war in Ukraine to the unraveling of the open international economic system, seem to contradict the book’s arguments. A taproot of this disjuncture is TUP’s implicit assumptions about the interaction between economics and security. We show that relaxing those assumptions exposes a complex set of interactions between unipolarity and economics–security trade-offs. We develop propositions concerning these interactions that help identify the conditions under which leading states face trade-offs between the pursuit of economic gains and security. Drawing on Monteiro’s approach, we derive a dynamic framework for understanding system incentives for the unipole’s grand strategy. This allows us to generate a typology of contemporary strategic choices, clarifying the complex debate on US grand strategy.

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.

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)0.001
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: Empirical
Teacher disagreement score0.331
Threshold uncertainty score0.800

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.027
GPT teacher head0.279
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