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The European Central Bank

2020· reference-entry· en· W3040993725 on OpenAlexaff
Amy Verdun

Bibliographic record

VenueOxford Research Encyclopedia of Politics · 2020
Typereference-entry
Languageen
FieldEconomics, Econometrics and Finance
TopicEuropean Monetary and Fiscal Policies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsFinancial systemEuropean debt crisisFinancial crisisPoliticsMonetary policyBanking unionEconomicsPolitical sciencePolitical economyInternational economicsEconomic policyMonetary economicsEuropean unionEuropean integrationMacroeconomics

Abstract

fetched live from OpenAlex

Abstract The European Central Bank (ECB) has been in existence for almost 20 years and more if one considers its immediate predecessor the European Monetary Institute (1994–1997). During these two decades the ECB has become an established institution. It secures price stability and further increased its reputation as a lender of last resort during the financial crisis and its aftermath. In the 2010s, in response to the global financial crisis and the sovereign debt crisis, the ECB has also taken on the role of supervisor of the financial system and monitors developments in the Euro Area financial sector. Political science literature on the ECB can be subdivided into different strands. One strand looks at the ECB as just another central bank and hence examines its role as a central bank with the usual instruments. Another strand of literature examines the role of the ECB as an institution that is insufficiently embedded into democratic checks and balances. This perennial criticism of the ECB was born when the European System of Central Banks (ESCB) was created to be independent from political influence. A third strand of the literature is newer and examines the unorthodox steps that the ECB (and other central banks) took, and have taken, to offset the financial crisis and the ensuing economic crisis. An analysis of European integration and the political economy of the Euro Area can contribute to a better understanding of why the ECB has taken a proactive role. The political science research of the ECB is discussed here as well as the various dimensions of research conducted on the ECB.

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)0.004
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: Other · Consensus signal: Other
Teacher disagreement score0.103
Threshold uncertainty score0.345

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.004
Science and technology studies0.0020.002
Scholarly communication0.0140.006
Open science0.0020.003
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.1030.103

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 head0.078
GPT teacher head0.286
Teacher spread0.208 · 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
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

Citations1
Published2020
Admission routes1
Has abstractyes

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