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Record W4234138771 · doi:10.1017/cbo9781316756829.009

Finance

2016· book-chapter· en· W4234138771 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

VenueCambridge University Press eBooks · 2016
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Regulation and Crises
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSummitCorporate governanceFinancial crisisMarket liquidityFinancial systemDecentralizationGlobal governanceBusinessFinancial stabilityFinanceEmerging marketsEconomicsEconomic policyMarket economyGeographyMacroeconomics

Abstract

fetched live from OpenAlex

This chapter examines the demand for global financial governance in the wake of the massive financial crisis of 2007–9. The global financial meltdown acted as a catalyst for a dramatic boosting of the International Monetary Fund's (IMF) resources and the creation of the Financial Stability Board (FSB), both which took place at the G20 leaders’ second summit in April 2009. These initiatives appeared to signal a heightened demand for global-level institutions in the areas of liquidity provision and financial regulation emerging from the crisis experience. But the limitations of that demand also quickly became clear as these global institutions found themselves working with and alongside strengthened regional, plurilateral and national authorities in complex ways. The result is neither a strengthening nor weakening of the demand for global governance, but rather a change in the content of the demand. A new kind of “cooperative decentralization” in global financial governance is emerging, driven by the preferences of both dominant powers and Southern countries.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.946
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.001

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 head0.030
GPT teacher head0.179
Teacher spread0.149 · 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