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The Dwight D. Eisenhower Administration, Syngman Rhee, and the 'Other' Geneva Conference of 1954

2017· dataset· en· W2246336109 on OpenAlexaboutno aff

Bibliographic record

VenueThe SHAFR Guide Online · 2017
Typedataset
Languageen
FieldEconomics, Econometrics and Finance
TopicEuropean Monetary and Fiscal Policies
Canadian institutionsnot available
Fundersnot available
KeywordsCold warEconomic historyAdministration (probate law)Political scienceMiracleQuarter (Canadian coin)Economic miracleEuropean unionWorld War IIEconomicsEconomyInternational tradeHistoryLaw

Abstract

fetched live from OpenAlex

Western Europe's recovery from World War II was nothing short of miraculous. From the chaos of the war and the crisis of 1947, Europe moved directly to the most rapid quarter-century of economic growth in her history. The contributors to this volume seek to identify the sources of this singularly successful recovery. That all European countries shared in the miracle suggests that its roots may lie at the international level. The chapters therefore focus on the role played by international institutions - the International Monetary Fund, the World Bank, the European Coal and Steel Community, the European Payments Union, the General Agreement on Tariffs and Trade - and weigh the relative importance of domestic and international factors in Europe's postwar recovery. This book will be of interest to students of modern European history and to economists interested in economic growth, European economic integration, and reform of the Bretton Woods institutions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.077
Threshold uncertainty score0.258

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.009
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0770.097

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 head0.054
GPT teacher head0.279
Teacher spread0.225 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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

Citations20
Published2017
Admission routes1
Has abstractyes

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