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Record W4366385476 · doi:10.1017/9781009337489.018

The Embedded Liberalism of Bretton Woods

2023· book-chapter· en· W4366385476 on OpenAlexaff
Eric Helleiner

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicState Capitalism and Financial Governance
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMultilateralismLiberalismProsperityPolitical economyPolitical scienceEconomicsPoliticsLaw

Abstract

fetched live from OpenAlex

This chapter examines the embedded liberal perspective of the Anglo-American thinkers who played a lead role in designing Bretton Woods order, including John Maynard Keynes and Harry Dexter White. These thinkers endorsed the broad liberal goals of boosting global prosperity, international peace, and individual freedom, but they argued that these goals could only be met with a new kind of institutionalized liberal multilateralism that would make an open world economy compatible with various kinds of active public management of the economy. The roots of embedded liberalism can be found in efforts to reformulate the international side of classical economic liberal thought earlier in the twentieth century, including by thinkers such as Jehangir Coyajee.and John Hobson. The promoters of embedded liberalism at Bretton Woods sought to accommodate not just new ideas of domestic social security and activist macroeconomic management in Western Europe and North America but also the Soviet Union’s commitment to central planning and neomercantilist views prominent in many less industrialized regions. At the same time, they made much less effort to engage with the perspectives discussed in the second part of this volume.

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)0.000
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 score0.863
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 science0.0010.001
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 head0.021
GPT teacher head0.183
Teacher spread0.163 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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