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Record W2946397020 · doi:10.7202/1059537ar

L’expérience carcérale élargie : une peine sociale invisible

2019· article· fr· W2946397020 on OpenAlexvenueno aff
Caroline Touraut

Bibliographic record

VenueCriminologie · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

L’expérience carcérale élargie traduit l’emprise que les institutions carcérales exercent sur des personnes qui ne sont pourtant pas recluses, comme l’entourage des détenus, et qui vont, de manière singulière, éprouver la prison au-delà de ses murs. L’expérience carcérale élargie est une peine sociale qui se compose de quatre épreuves principales que ce texte propose d’analyser. C’est aussi une situation où les proches qui décident de maintenir le lien avec le détenu, essentiellement des femmes, réalisent un important travail de care à son égard. Après avoir présenté les différents soutiens qu’entendent réaliser les proches, nous verrons en quoi l’expérience carcérale élargie apparaît paradoxalement comme une situation sociale qui maintient l’assignation des femmes dans une posture traditionnelle et largement invisible, tout en leur offrant une opportunité pour prendre prise sur celui qui est détenu et sur les conditions de leur relation.

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)0.005
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 score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0160.030
Scholarly communication0.0080.006
Open science0.0010.011
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0100.001

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 head0.613
GPT teacher head0.507
Teacher spread0.107 · 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

Citations22
Published2019
Admission routes1
Has abstractyes

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