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Record W4399930043 · doi:10.1111/jcms.13595

The Geoeconomics of the Single Market for Financial Services

2024· article· en· W4399930043 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJCMS Journal of Common Market Studies · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Regulation and Crises
Canadian institutionsUniversity of Victoria
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsBusinessFinancial servicesFinanceFinancial system

Abstract

fetched live from OpenAlex

Abstract We discuss the geoeconomics of the Single Market in financial services in the European Union (EU). We examine three case studies that concern the EU and other major jurisdictions and that range from incipient geoeconomic use to outward weaponisation of the Single Market in finance. These cases are (1) the post‐2008 crisis transatlantic tug of war, whereby the EU leveraged its Single Market vis‐à‐vis the United States, seeking to set the rules for global finance; (2) the Brexit negotiations, when the EU acted as a bloc against the United Kingdom and successfully safeguarded the integrity of the Single Market; and (3) the fulsome war in Ukraine, during which the EU ‘weaponised’ its Single Market through the adoption of financial sanctions against Russia. We argue that a combination of external and internal factors accounts for this pattern: the evolution of the international economic and political system, in particular, the increasing challenges to the liberal international order, and intra‐EU developments, namely, the EU's ability to deploy its Single Market geoeconomically.

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)0.002
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score0.327

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.034
GPT teacher head0.267
Teacher spread0.233 · 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