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Record W3148691272 · doi:10.1093/icon/moab019

“It’s the political economy . . .!” A moment of truth for the eurozone and the EU

2021· article· en· W3148691272 on OpenAlexfundno aff
Marco Dani, Edoardo Chiti, Joana Mendes, Agustín José Menèndez, Harm Schepel, Michael Wilkinson

Bibliographic record

VenueInternational Journal of Constitutional Law · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEuropean Monetary and Fiscal Policies
Canadian institutionsnot available
FundersGarron Family Cancer Centre
KeywordsTransformative learningPoliticsContext (archaeology)Political economyEconomic and monetary unionPolitical sciencePerspective (graphical)Law and economicsEconomicsLawSociologyEuropean unionInternational trade

Abstract

fetched live from OpenAlex

Abstract The article discusses the Weiss dispute from a political economy perspective. It first sets this litigation in its wider context, namely the protracted transformation of the Economic and Monetary Union (EMU) over the last decade, a decade which has revealed the structural flaws in its design. It then briefly sketches the changing role of central banking, from a fixation on fighting inflation to a more recent focus on combating deflation. This helps to explain the problematic character of the Weiss rulings and the commentaries they have provoked, illustrating a general failure to consider the limits of law, the result of clinging to different parts of the EMU wreckage, on the assumption that the current constitutional framework remains viable. Finally, the article emphasizes the transformative potential of the Weiss saga. The judicial conflict lays bare the unsustainability of the present arrangements, and reveals the necessity of a choice between genuinely federal integration and coordinated dismantling of EMU.

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)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.009
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.019
Scholarly communication0.0090.007
Open science0.0000.002
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.033
GPT teacher head0.243
Teacher spread0.211 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations16
Published2021
Admission routes1
Has abstractyes

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