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Record W3007753073 · doi:10.1093/isp/ekaa001

Global Monetary Order and the Liberal Order Debate

2020· article· en· W3007753073 on OpenAlexaff
Carla Norrlöf, Paul Poast, Benjamin J. Cohen, Sabreena Croteau, Aashna Khanna, Daniel McDowell, Hongying Wang, W. Kindred Winecoff

Bibliographic record

VenueInternational Studies Perspectives · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsUniversity of WaterlooUniversity of Toronto
Fundersnot available
KeywordsOrder (exchange)Dominance (genetics)NarrativeInternational relationsPoliticsEconomicsGreat powerLiberian dollarSpecial drawing rightsPolitical economyPolitical scienceLaw and economicsLawReserve currencyCurrencyFinanceMonetary economics

Abstract

fetched live from OpenAlex

Abstract The recent “liberal international order” (LIO) debate has been vague about the institutions and issue areas that constitute the order. This is likely driven by competing views of “liberal” and, perhaps more importantly, by security scholars dominating the debate. From the perspective of scholars who explore the elements of the global monetary order (reserve currencies, international financial institutions, and central banks), the picture is different. Where security scholars point to a decline in US influence, scholars of global monetary politics see continued US dominance. Moreover, monetary prominence has been a precondition for the viability of great power projects of order building more generally. This symposium offers such a counter narrative. While the security challenges are real, the crises of the last decade have actually reinforced the centrality of the US dollar and American financial power in the international system.

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)0.005
metaresearch head score (Gemma)0.006
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 score0.012
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.018
Scholarly communication0.0120.007
Open science0.0010.003
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0080.001

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 head0.032
GPT teacher head0.268
Teacher spread0.236 · 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

Citations63
Published2020
Admission routes1
Has abstractyes

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