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Record W192453832

Comments on the September 29, 2014 FSB Consultative Document, ‘Cross-Border Recognition of Resolution Action’

2014· article· en· W192453832 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

VenueeYLS (Yale Law School) · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Regulation and Crises
Canadian institutionsCentre for International Governance InnovationMcGill University
Fundersnot available
KeywordsStatutory lawContext (archaeology)Corporate governanceAction (physics)Financial stabilityBusinessResolution (logic)Global governancePolitical scienceAccountingFinanceLawArtificial intelligenceComputer scienceFinancial systemGeography
DOInot available

Abstract

fetched live from OpenAlex

This CIGI Paper No. 51 was released on December 3, 2014 by the Centre for International Governance Innovation (CIGI) as a response to the Financial Stability Board’s (FSB) Consultative Document, “Cross-Border Recognition of Resolution Action.” Principally authored by CIGI Senior Fellow Steven L. Schwarcz (who works with the think tank’s International Law Research Program), the Paper comments on the policy measures proposed by the FSB, an international body that monitors and makes recommendations about the global financial system, to address the cross-border legal uncertainties of troubled systemically important financial firms. In that context, the Paper explains why a statutory approach is more effective than a contractual approach at removing obstacles in cross-border resolutions of those firms, and thus a better method to achieve financial stability. The Paper also recommends that the FSB establish a working group on statutory mechanisms for the cross-border resolution of financial firms.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.843
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0030.005

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 head0.036
GPT teacher head0.313
Teacher spread0.277 · 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