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Record W4320732418 · doi:10.4000/revdh.16943

Free movement, Social Citizenship, and the Production of the EU’s legal territory as a “Social Milieu.” Reading the Laval case through Foucault

2023· article· en· W4320732418 on OpenAlexaboutno aff
Teresa Pullano

Bibliographic record

VenueRevue des droits de l’homme · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipDirectiveGovernmentalityFree movementPolitical scienceReading (process)SociologySocial citizenshipMovement (music)LawLaw and economicsBusinessAestheticsPhilosophy

Abstract

fetched live from OpenAlex

This paper raises the question of how freedom of movement, attached to EU citizenship, affects forms of social citizenship at the national and at the EU level. It does so through a double analytical lens. It discusses the well-known Laval case through the angle of the category of circulation and “social milieu” as proposed by the work of Michel Foucault. The hypothesis I want to raise in the paper is that there is a need to rethink social citizenship through an understanding of governmentality and territory as shaped by people circulating and producing a social environment, or milieu, at the European level. Specifically, the study deals with the controversies concerning the Laval dispute : it discusses the Posted Workers Directive, the principle of the free movement of workers and services and the Services Directive. It suggests that the encouragement and management of circulations, both of workers and of services, across Member States, as it is visible in the Laval case, ushers in the “becoming territorial” of the EU.

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)0.005
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: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.073
Scholarly communication0.0100.007
Open science0.0010.007
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.103
GPT teacher head0.365
Teacher spread0.263 · 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
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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

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