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Record W2289850086 · doi:10.22215/cjers.v2i1.2402

Risking the Stability of EMU: the Asymmetric Application of the Stability and Growth Pact

2006· article· en· W2289850086 on OpenAlexvenueno aff
Bartholomew Paudyn

Bibliographic record

VenueThe Canadian Journal of European and Russian Studies · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsStability and Growth PactCorporate governanceEconomicsCredibilityPrice of stabilityMonetary policyAusterityMonetary economicsDebtMandateAccountabilityPoliticsMacroeconomicsEconomic policyFinancePolitical scienceEuropean unionLawMember states

Abstract

fetched live from OpenAlex

Fiscal profligacy poses a high risk to the credibility of Europe common monetary policy and its ultimate objective of price stability. Unfortunately, the aim of preventing fiscally responsible states from being penalized by those with lax budgetary policies via inflationary pressures and interest rates is jeopardized as members breach the Stability and Growth Pact (SGP). Moreover, there are major institutional inconsistencies in how states are treated under the current framework as is exemplified by the November 2003 ECONFIN crisis. What is witnessed is an antagonistic relationship between the programmatic and operational dimensions of monetary governance. Does the fact that half the members who have adopted the euro have also breached its rules signal that surveillance as regulation is being displaced as a mode of governance? It calls for a re-imaged spatial-temporal explanation of governance to adequately capture the political economy of EMU. At the core of EMU management are risk and uncertainty based modes of governing. Employing a governmentality approach, I argue that the audit is one prominent style of processing and institutionalizing risk as an aggregate future of monetary activity. By altering the administration and objects of risk governance the audit is perceived as reducing the susceptibility to failure. Hence, it has a performative function that extends beyond simply measuring deficit or debt to GDP performance and acts as a social and institutional process structuring a homogenous set of fiscal practices.
 
 Full text available at: https://doi.org/10.22215/rera.v2i1.163

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 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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.747
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.034
GPT teacher head0.270
Teacher spread0.236 · 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 teacher head, not a consensus.

Study designObservational
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

Citations0
Published2006
Admission routes1
Has abstractyes

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