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Record W4392551745 · doi:10.7202/1109660ar

Les effets de la participation citoyenne sur le travail culturel

2024· article· fr· W4392551745 on OpenAlexvenueno aff
Élise Vandeninden

Bibliographic record

VenueLien social et Politiques · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Notre recherche prend son ancrage dans une enquête sociologique consacrée aux « centres culturels », des structures nées en Belgique (plus précisément en Fédération Wallonie-Bruxelles) au début des années 1970 et ayant pour mission de soutenir l’objectif étatique de décentralisation culturelle. S’il semble aujourd’hui pertinent d’étudier ces lieux pour explorer le renouvellement de la citoyenneté culturelle, c’est en raison de l’évolution du secteur : depuis 2013, une réforme y impose la « participation citoyenne » dans l’espoir de régénérer les rapports institution-population. Dans cet article, nous proposons d’envisager les effets de cette impulsion des pouvoirs publics sur le travail culturel de proximité. Trois étapes structureront notre réflexion : il s’agira (1) d’interroger la particularité d’une offre participative qui s’inscrit dans un cadre législatif et donc contraignant; (2) de comprendre comment les professionnels du secteur la configurent et lui donnent du sens différemment; et (3) d’analyser les enjeux sociaux et politiques des différentes pratiques participatives. Nous avons l’ambition d’éclairer la façon dont une certaine conception de la participation citoyenne permet, au sein des institutions culturelles, de lutter contre l’exclusion, les inégalités et la discrimination.

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)0.015
metaresearch head score (Gemma)0.023
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 score0.071
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0100.011
Scholarly communication0.0130.003
Open science0.0010.010
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0190.002

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 head0.158
GPT teacher head0.481
Teacher spread0.323 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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