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Record W1967173491 · doi:10.1163/15691497-12341241

Unmaking Neoliberal Europe: Capitalist Crisis and the Search for Alternatives

2013· article· en· W1967173491 on OpenAlexaff
Ingo Schmidt

Bibliographic record

VenuePerspectives on Global Development and Technology · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsAthabasca University
Fundersnot available
KeywordsAusterityContext (archaeology)European debt crisisEconomicsEconomic and monetary unionFinancial crisisDebtorEuropean unionCreditorEconomic policyPolitical scienceEconomyInternational economicsKeynesian economicsEuropean integrationPoliticsDebtGeographyMacroeconomics

Abstract

fetched live from OpenAlex

Abstract The first part of this article situates the Euro-crisis in the larger context of the world economic crisis 2008/9 and then looks at the imbalances between creditor and debtor countries within the Euro-zone. These imbalances predate the introduction of the Euro, but sharpened massively since the start of European Monetary Union. These imbalances are the economic core of the Euro-crisis. The second part of the article looks at economic policies and argues that the austerity measures prescribed by the EU Commission, European Central Bank, and International Monetary Fund (IMF) deepened the economic crisis and led to the outbreak of an already looming crisis of legitimacy in the Euro-zone and the EU at large. This latter crisis fosters economic nationalism and thus impedes any kind of EU-level response to the Euro-crisis.

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)0.008
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.034
Scholarly communication0.0120.014
Open science0.0010.008
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0080.001

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 head0.018
GPT teacher head0.237
Teacher spread0.219 · 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 designTheoretical or conceptual
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

Citations5
Published2013
Admission routes1
Has abstractyes

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