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Record W4380087145 · doi:10.1080/07036337.2023.2220894

EU or Euro Area Crisis? Studying Differentiated Integration as an Idea Structuring Elite Perceptions of the Sovereign Debt and the COVID-19 Crisis

2023· article· en· W4380087145 on OpenAlexaff
Alexander Schilin

Bibliographic record

VenueJournal of European Integration · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsUniversity of Victoria
FundersUniversiteit Leiden
KeywordsEliteEuropean debt crisisSovereign debtEconomicsFinancial crisisDebt crisisSovereigntyDebtEuropean unionInternational economicsMacroeconomicsPolitical scienceEuropean integrationPoliticsLaw

Abstract

fetched live from OpenAlex

After the sovereign debt crisis, scholars concluded that euro area member states (EAMS) and non-EAMS embarked on diverging paths of integration. Yet, their united response countering the economic consequences of the COVID-19 crisis contradicts the path-dependency argument. This article takes an ideational approach. It demonstrates that the different crisis outcomes regarding differentiated integration (DI) in Economic and Monetary Union (EMU) coincide with variations of how DI influenced elite crisis perceptions as an idea. While policymakers perceived the sovereign debt crisis as a currency area crisis with threats and spillovers applying to EAMS, they interpreted the COVID-19 crisis as a health emergency threatening all EU member states. These differences in elite crisis perceptions facilitated different outcomes regarding DI despite unchanged economic and fiscal circumstances among EAMS and non-EAMS. The findings challenge deterministic assumptions on the self-reinforcing nature of DI in EMU and establish DI as an idea structuring elite perceptions.

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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.007
Scholarly communication0.0070.004
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.063
GPT teacher head0.342
Teacher spread0.279 · 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 designQualitative
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

Citations6
Published2023
Admission routes1
Has abstractyes

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