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Record W3081753353 · doi:10.4000/pds.4881

Un cas d’exposition au musée Fabre. « Dans le Secret des œuvres d’art »

2020· article· fr· W3081753353 on OpenAlex
Marina Bousvarou, Anne Le Cabec, Pierre Stépanoff

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

VenuePatrimoines du Sud · 2020
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

L’exposition « Dans le Secret des œuvres d’art » présentée en 2018 au musée Fabre proposait au visiteur de découvrir l’étude matérielle et la restauration de plusieurs œuvres des collections du musée montpelliérain. L’objectif de l’exposition était d’apprendre au visiteur à observer la matière de l’œuvre et proposait ainsi un ensemble de médiums, huile sur toile, huile sur bois, dessin sur papier, fonte en bronze et toile libre en matériaux contemporains, comme autant de « cas » matériels à découvrir. La complexité de nombreuses opérations évoquées par l’exposition a impliqué un important usage des ressources du numérique. Des applications interactives, courts-métrages, modélisation 3D, vidéos pédagogiques et mapping étaient disséminés tout au long du parcours de visite, proposant un usage du numérique particulièrement pertinent, permettant de découvrir au plus près la singularité matérielle des œuvres exposées.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.004
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.109
GPT teacher head0.260
Teacher spread0.150 · 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