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Record W4247240454 · doi:10.4324/9781003089858-4

Economic and fiscal policy coordination after the crisis: is the European Semester promoting more or less state intervention?

2021· book-chapter· en· W4247240454 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsUniversity of Victoria
FundersErasmus+Social Sciences and Humanities Research Council of CanadaUniversiteit LeidenUniversitetet i AgderEuropean Commission
KeywordsIntervention (counseling)State (computer science)Fiscal policyEconomic policyEconomicsCrisis interventionMacroeconomicsPsychologySocial psychologyComputer science

Abstract

fetched live from OpenAlex

The European Union (EU)and its Economic and Monetary Union (EMU) in particularis often criticized as a predominantly marketoriented project.We analyse to what extent such claims can be substantiated by focusing on one key aspect of the EU's post-crisis framework for economic governance: the country-specific recommendations (CSRs) that the EU has been issuing annually since 2011.Based on an original dataset, we analyse more than 1300 CSRs, which show that the EU does not push uniformly for less state intervention.Rather, the CSRs tend to suggest fiscal restraint and less protection for labour market insiders, while simultaneously promoting measures that benefit vulnerable groups in society.During the second decade of EMU, CSRs have gradually become more permissive of higher public spending and more in favour of worker protection, while the share of recommendations advocating more social protection has stagnated at a high level.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.741
Threshold uncertainty score0.846

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.317
Teacher spread0.284 · 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

Quick stats

Citations36
Published2021
Admission routes2
Has abstractyes

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