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Record W3042514148

Gouverner la vie privée

2019· book· fr· W3042514148 on OpenAlexaboutno aff
Emilie Biland-curinier

Bibliographic record

VenueENS Éditions eBooks · 2019
Typebook
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesSociologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

L'implication de l’Etat dans la vie privee pose probleme : les individus ont davantage de droits que par le passe, mais certains de leurs comportements, juges problematiques pour la collectivite, justifient un interventionnisme renouvele, dans lequel acteurs prives et mecanismes de marche occupent une place croissante. En tension entre liberalisme et normalisation, cette action publique participe aux recompositions des rapports sociaux, entre les classes sociales, entre les genres, ainsi qu’entre la population majoritaire et les personnes racisees. Objet de vifs debats et de reformes recurrentes, la regulation par le droit des separations conjugales est un observatoire precieux de ces recompositions, ici analysees a partir de trois enquetes collectives, qualitatives et quantitatives, menees des deux cotes de l’Atlan­tique. En France comme au Quebec, l’acces aux procedures, les interactions avec les professionel.les et l’encadrement des modes de vie sont les trois dimensions constitutives du gouvernement de la vie privee. Cependant, chacun des contextes n’articule pas de la meme maniere inegalites de classe et inegalites de genre. En scrutant la production institutionnelle des inegalites privees, cet ouvrage invite a imaginer des voies alternatives, dans la sphere privee comme dans la sphere publique, pour que la politique des droits tienne ses promesses emancipatrices. [Resume editeur]

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.682
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.006
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.005

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 head0.026
GPT teacher head0.287
Teacher spread0.261 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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