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Record W4311990938 · doi:10.3917/risa.884.0921

Du tournant participatif des administrations à la bureaucratisation de la démocratie participative. Étude à partir du cas français.

2022· article· fr· W4311990938 on OpenAlex
Alice Mazeaud, Guillaume Gourgues, Magali Nonjon

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevue Internationale des Sciences Administratives · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsPolitical scienceHumanitiesPublicsPhilosophy

Abstract

fetched live from OpenAlex

Cet article se propose de contribuer à la réflexion sur le tournant participatif de l’action publique et de l’administration en étudiant le profil et le travail des agents publics spécialisés dans la participation citoyenne au sein des administrations locales françaises. A rebours des discours qui promeuvent la modernisation participative de l’administration, l’analyse de l’activité quotidienne des agents publics en charge de la participation permet de saisir les dynamiques de bureaucratisation de la participation citoyenne. Faute de bouleverser les routines administratives, les agents spécialisés inventent de nouvelles routines essentiellement destinées à maintenir en place des dispositifs, même lorsque ces derniers n’ont peu ou pas d’effet sur la conduite de l’action publique. Remarques à l’intention des praticiens Cet article éclaire les processus de mise en administration de la participation citoyenne qui s’opère en France selon une double logique de spécialisation et de diffusion, et analyse les aspects concrets du travail participatif dans les administrations.

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.

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)0.003
metaresearch head score (Gemma)0.002
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
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.016
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.110
GPT teacher head0.360
Teacher spread0.250 · 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