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Record W2587028237 · doi:10.1080/07036337.2016.1277715

Political leadership of the European Central Bank

2017· article· en· W2587028237 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

VenueJournal of European Integration · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsUniversity of Victoria
FundersEuropean Commission
KeywordsSovereign debtEuropean debt crisisFinancial crisisSovereigntyCorporate governancePoliticsPolitical scienceEconomicsDebtFinancial systemTransformative learningMonetary policyPolitical economyEconomic policyFinanceEuropean unionEuropean integrationSociologyLawKeynesian economics

Abstract

fetched live from OpenAlex

What role did the European Central Bank (ECB) play in EU governance, regarding the financial, the economic and sovereign debt crises? How should we understand ECB leadership from a theoretical perspective? Based on speeches, literature review and interviews, this contribution concludes that by using policies such as the Securities Market Programme and by promising to do whatever it takes (e.g. Outright Monetary Transactions the ECB supported the euro-area faced with an unprecedented crisis. Its two presidents during the crisis periods were leaders in that they managed to get the ECB followers (its Governing Council; EU member states) willing to take part in a common enterprise solving the sovereign debt crisis with the bank using exceptional monetary policy tools. This contribution argues that both Presidents Jean-Claude Trichet and Mario Draghi exercised transformative leadership and were willing to take action when no other leaders were willing or able to lead.

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)0.002
metaresearch head score (Gemma)0.003
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: none
Teacher disagreement score0.966
Threshold uncertainty score0.429

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.105
GPT teacher head0.330
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