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Record W4224304772 · doi:10.4000/hybrid.1569

Quels imaginaires pour les outils numériques participatifs au musée ?

2022· article· fr· W4224304772 on OpenAlexaff
Éva Sandri

Bibliographic record

VenueHybrid · 2022
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsMusée de la Civilisation
FundersAgence Nationale de la Recherche
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Si le mouvement vers la médiation participative par le numérique rend compte d’une volonté de réactualiser les conditions de la démocratie culturelle, l’usage indifférencié de l’adjectif participatif empêche de penser le degré d’implication des individus et le travail de l’institution pour s’ouvrir à ses publics. Cet article propose d’interroger un projet participatif sur support numérique visant à valoriser la culture de la communauté des femmes gitanes d’Arles, à travers l’analyse du webdocumentaire Femmes gitanes du quai des platanes, mis en place par le Museon Arlaten (musée d’ethnographie d’Arles). Cette réflexion interroge la façon dont un musée met en place un dispositif numérique permettant de valoriser une culture en partant des initiatives de cette même communauté. Après une tentative de classement de ces types de dispositifs participatifs, l’étude de terrain proposée met en évidence un projet hybride entre les logiques top-down et bottom-up, au sein d’un dispositif participatif qui profite réellement aux participantes.

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)0.005
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.036
Scholarly communication0.0140.017
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0170.002

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 head0.244
GPT teacher head0.328
Teacher spread0.084 · 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
Published2022
Admission routes1
Has abstractyes

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