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Record W4321098609 · doi:10.1111/twec.13394

Optimum financial areas: Retooling the governance of global finance

2023· article· en· W4321098609 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWorld Economy · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsnot available
FundersFP7 Socio-Economic Sciences and HumanitiesJosef Korbel School of International StudiesUniversiteit van AmsterdamUniversity of Denver
KeywordsInterdependenceEconomicsCorporate governancePoliticsFinanceFinancial stabilityFinancial marketPublic goodFinancial integrationClubFinancial crisisFinancial regulationExcludabilityFinancial systemMacroeconomicsMicroeconomicsPolitical science

Abstract

fetched live from OpenAlex

Abstract This article analyses the political economy of financial stability under conditions of deep cross‐border market integration, adapting the ‘joint products’ approach of Broz among others. Many argue that financial stability is a public good; we propose that it is inherently excludable and that particular conditions must obtain to ensure it is non‐diminishable for all. The difficulties of providing financial stability arise because of the ‘club goods’ nature of monetary and financial systems. We then propose six institutional preconditions that can stabilise a financial market that is integrated across multiple regulatory jurisdictions. We use case studies of Great Britain, the US and Canada to show how national governments have dealt with these political economy dilemmas to stumble towards similar arrangements to stabilise domestic financial market integration. Three criteria relate to the ‘technical substructure’ of markets, while three others focus on macro‐prudential considerations. Together they constitute necessary and sufficient conditions for the provision of financial stability. These criteria generate political economy obstacles both individually and as an interdependent package but can mitigate the costly dynamics of financial market disintegration in times of crisis. We argue that these criteria can be applied across national boundaries as well as across regulatory jurisdictions within them.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.019
GPT teacher head0.224
Teacher spread0.206 · 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