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Record W4281477621 · doi:10.4000/culturemusees.7804

Société, musées et réappropriation sociale comme « utopie » : modèles de musées de société en Espagne

2022· article· fr· W4281477621 on OpenAlexaff
Óscar Navajas Corral

Bibliographic record

VenueCulture & Musées · 2022
Typearticle
Languagefr
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyArt

Abstract

fetched live from OpenAlex

Les musées et la muséologie sont confrontés au xxie siècle à des défis qui vont au-delà de la conservation et de la recherche des biens patrimoniaux. Notre société liquide, immergée dans le système de consommation, affecte les processus culturels et, bien sûr, les musées. La fonction de ces institutions est aujourd’hui de servir d’intermédiaires entre le tourisme de masse, un système néolibéral qui tend à les transformer en parcs à thème et un passé élitiste et uchronique. En même temps, elles doivent devenir des entités capables de faire face aux problèmes et aux besoins sociaux (droits de l’Homme, justice sociale, etc.). Une utopie qui reflète plus les souhaits et la bonne volonté que les événements réels. Cet article présente des expériences de muséologie sociale en Espagne, qui correspondraient aux soi-disant « musées de société », et qui offrent des outils pour faire de cette utopie une réalité, en générant des processus de gouvernance, de participation communautaire, de réappropriation sociale des musées et de compréhension du patrimoine en tant que ressource « commune ».

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0060.024
Scholarly communication0.0090.009
Open science0.0010.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.053
GPT teacher head0.297
Teacher spread0.244 · 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 designNot applicable
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

Citations2
Published2022
Admission routes1
Has abstractyes

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