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Record W7082641036 · doi:10.36572/csm.v70i26.10655

La muséologie sociale, un bouclier contre l’effondrement sociétal ?

2025· article· fr· W7082641036 on OpenAlexaboutno aff

Bibliographic record

VenueRepositório Científico Lusófona (Grupo Lusófona) · 2025
Typearticle
Languagefr
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic JusticeSocial justiceThe Imaginary

Abstract

fetched live from OpenAlex

En mars 2025, j’ai terminé la traduction en français du livre Museums and Societal Collapse: The Museum as Lifeboat du muséologue canadien Robert R. Janes. Sa publication ne saurait tarder. J’ai réalisé ce travail pour aider le monde francophone des musées à faire face à l’effondrement sociétal qui, malheureusement, frappe déjà à nos portes. Le livre décrit ce collapse en cinq temps – financier, puis commercial, politique et social, et enfin culturel – est appréhendé d’ici quelques décennies. Grâce à la confiance que leur porte la société, les musées représentent une puissante force apte à amortir le déclin et l’effondrement des sociétés qu’ils desservent. Pour ce faire, ils doivent renoncer à la sacrosainte neutralité et au tribalisme professionnel, et utiliser plutôt leurs compétences socialisantes, faisant place à la découverte, au changement, à l’excellence des récits inédits qu’ils proposeront. Les quelque 104 000 musées dans le monde forment la plus grande franchise sans but lucratif sur Terre. S’ils mettaient en commun une partie de leurs ressources et agissaient de façon concertée, l’impulsion qui en résulterait sera peut-être indispensable pour stimuler justice sociale, égalité mondiale et bien-être planétaire. Mots-clés : effondrement ; société; sociomuséologie ; changement ;

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.811
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0030.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.018
GPT teacher head0.264
Teacher spread0.246 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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