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Record W15958508 · doi:10.1515/1948-1837.1242

The Limits of Incrementalism: The G20, the FSB, and the International Regulatory Agenda

2012· article· en· W15958508 on OpenAlexaff
Eric Helleiner

Bibliographic record

VenueJournal of Globalization and Development · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsIncrementalismEconomicsRegulatory reformMacroeconomicsPolitical scienceMarket economy

Abstract

fetched live from OpenAlex

At their very first summit in Washington in November 2008, the G20
\nleaders placed the reform of international financial regulation at the core of their
\nagenda. The issue has retained a central place in discussions and communiqués at
\nevery subsequent meeting. It has been remarkable to see heads of state commit
\nsuch detailed attention in their communiqués to a topic which has historically
\nbeen the more obscure preserve of technocratic officials. Equally striking has
\nbeen the fact that policymakers have looked beyond the immediate task of
\nmanaging the crisis to focus on this more forward-looking agenda to prevent
\nfuture crises. It took more than a decade after the crisis of the early 1930s for
\npolitical leaders to agree at the 1944 Bretton Woods conference on international
\nfinancial reforms designed to prevent a repetition of that economic calamity. This
\ntime around, the crisis has been used as an immediate catalyst for reform.
\nBut what have the G20 leaders actually accomplished so far in this field?
\nThere is no question that they have successfully negotiated more initiatives in this
\narea than in any other, initiatives that are aimed at reforming both the content and
\nthe governance of international financial regulation. While the breadth of these
\nreforms has been impressive, they also suffer from some important limitations.
\nDespite the scale of the crisis, the reforms have been much more incremental than
\nradical. Their implementation has also been slow and uneven, and some important
\nissues have been neglected entirely. As we have entered a new phase of financial
\ninstability unleashed by the eurozone’s difficulties, these limitations have become
\nincreasingly evident, with political consequences that are very difficult to 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)0.003
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.858
Threshold uncertainty score0.657

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.026
GPT teacher head0.289
Teacher spread0.263 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations44
Published2012
Admission routes1
Has abstractyes

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