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Record W4405189236 · doi:10.1017/elo.2024.25

The multiple meanings of EU law: using sociological interpretivism to make sense of the Eurozone crisis

2024· article· en· W4405189236 on OpenAlexaff
Nicholas Haagensen

Bibliographic record

VenueEuropean Law Open · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsCentre for International Governance Innovation
FundersEuropean Commission
KeywordsSociologyEpistemologyLaw and economicsLawPolitical sciencePositive economicsEconomicsPhilosophy

Abstract

fetched live from OpenAlex

Abstract In following the interdisciplinary spirit of this symposium, I emphasise the usefulness of the sociological approach of interpretivism, together with qualitative methods, by examining how EU legal actors perceived the Eurozone crisis and how they enabled policy solutions: financial assistance and policy conditionality. This case constitutes a legal conundrum because of how these solutions encompass and connect different forms of law – EU law, international law and private financial law – and how EU lawyers seek to protect the EU legal order from this hybrid arrangement by drawing the arrangement as closely as they can to the EU legal order. This in turn creates issues of accountability as the imposition of policy conditionality engenders litigation by EU citizens who were directly affected therein, raising the question of whether establishing liability for damages is possible in such a hybrid arrangement. Using interviews with legal actors and observations of court proceedings, I foreground the multiple meanings of EU law and explain how such an approach can expand our understanding of not only what EU law means to its practitioners, but also how these meanings give insight into the potential paths of EU law’s development. To interrogate these multiple meanings, I examine the crisis policy solutions as well as a set of court cases – Ledra Advertising, Mallis and Chrysostomides – that sought to hold the EU accountable for losses suffered because of these policies. Using these methods can partially overcome the opaqueness of judicial proceedings at the EU level, as well as give insight into the development of the legal arrangements being contested in court. A novel methodological element is the descriptive analysis of observations of court proceedings in Chrysostomides , where I demonstrate how the interactions between the lawyers and the judges shed light on how legal actors establish legal validity as a collective project.

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)0.003
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 science0.0010.001
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 head0.062
GPT teacher head0.353
Teacher spread0.291 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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