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Record W1981321924 · doi:10.7202/1014353ar

La juridification ou le droit comme matrice de l’action collective : la revendication du droit au mariage entre personnes du même sexe

2013· article· fr· W1981321924 on OpenAlexvenueno aff
David Paternotte

Bibliographic record

VenuePolitique et Sociétés · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Les rapports entre action collective des minorités et droit ont souvent été décrits à partir de la notion de judiciarisation. Cet article propose un autre regard, mettant en lumière le phénomène de juridification. Celui-ci insiste sur le caractère matriciel acquis par le droit dans l’action collective. À partir de l’exemple de la revendication de l’ouverture du mariage par les couples de même sexe en Belgique, en France et en Espagne, il montre que le droit peut occuper une place centrale sans que les mouvements sociaux étudiés n’aient intensivement recours à l’action judiciaire. Le droit apparaît en amont, comme une matrice à partir de laquelle les revendications sont formulées. Dans le cadre de la revendication du mariage, ce phénomène est étroitement lié à l’adoption d’une définition de l’égalité en tant qu’inverse de la discrimination. Ce rapport spécifique au droit ne se limite pas à la question du mariage et traduit des mutations plus profondes des mouvements gais et lesbiens. Quatre changements sont examinés : l’engagement militant de professionnels du droit, un changement de génération militante, l’institutionnalisation et la professionnalisation du mouvement, sa transnationalisation et la transformation de la notion de droits humains.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.015
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.155
GPT teacher head0.440
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

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 designQualitative
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

Citations13
Published2013
Admission routes1
Has abstractyes

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