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The European Debt Crisis: Incremental Reform, Austerity, and Institutional Failure

2014· article· en· W3123226646 on OpenAlex
Daniel Drache

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueWorld Review of Political Economy · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsYork University
Fundersnot available
KeywordsAusterityEuropean debt crisisEuropean unionEconomicsCapitalismEconomic policyDebtChampionDebt crisisPolitical economyFinancial crisisState (computer science)Political scienceEuropean integrationFinanceKeynesian economicsPoliticsLaw

Abstract

fetched live from OpenAlex

This article focuses on the way a crisis needs an institutional actor and champion. Through painfully slow intervention and muddling through, the European Central Bank (ECB) created new policy space for a European financial and banking system that was on the point of collapse. However, the institutional commitment to austerity and deep cuts to state spending have pushed the goal of a stronger federal union farther away than ever. This article examines the strengths and limitations of institutional “ad hocery” of making policy on the go. It also has a comparative examination of the Canadian experience with policy ad hocery during Canada's long-running constitutional wars between 1960 and 2000. In the end, Ottawa's strategy left the Canadian federal union decentralized and much more fragile. It makes the case that despite the accomplishment of keeping European capitalism afloat with massive and repeated bailouts of public money, the worst-case scenario facing the Eurozone of some kind of collapse in the near future is still on the table.

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)0.000
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 score0.983
Threshold uncertainty score0.682

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0000.000
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 head0.020
GPT teacher head0.314
Teacher spread0.294 · 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