MétaCan
Menu
Back to cohort
Record W645584481

Harnessing Global Finance: Is there divergence in global banking regulation?

2012· dissertation· en· W645584481 on OpenAlexaboutno aff
Peder Sørås

Bibliographic record

VenueBIBSYS Brage (BIBSYS (Norway)) · 2012
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Regulation and Crises
Canadian institutionsnot available
Fundersnot available
KeywordsDivergence (linguistics)Convergence (economics)Perspective (graphical)Corporate governanceEconomicsState (computer science)Financial regulationEconomic systemInternational economicsPolitical scienceFinanceMacroeconomics
DOInot available

Abstract

fetched live from OpenAlex

Convergence theory has dominated the discussion of global financial governance. The perspective argues that the confrontation between the global market and state institutions leads to policy convergence. However, rather than accept this conclusion, this study has examined banking regulation in four countries, the United States, Canada, Britain, and Germany to test whether they converge. By comparing how these countries regulate banking in terms of policy interests, the study finds that there is indeed divergence between them in contrast to what convergence theory would predict.

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 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.319
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0070.004

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 head0.025
GPT teacher head0.260
Teacher spread0.235 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueBIBSYS Brage (BIBSYS (Norway))Same topicGlobal Financial Regulation and CrisesFrench-language works237,207