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Record W4379799859 · doi:10.4000/iss.4739

Stratégies curatoriales et réécriture des cartels des collections d’art

2023· article· fr· W4379799859 on OpenAlex

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

VenueICOFOM Study Series · 2023
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsInstitut du Savoir MontfortUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Comment la rcriture des cartels pourrait-elle servir les pratiques curatoriales critiques dans les collections ?Ce texte examine les diffrents usages du cartel expos et cherche identifier de nouvelles pratiques de rcriture qui accompagnent le dveloppement actuel de pratiques curatoriales critiques et thiques.Dans un premier temps, l'article pose les bases d'une potentielle mutation des usages du cartel ou d'un dplacement des pratiques de rcriture du champ de l'interprtation de l'art celui de l'exposition en posant la question suivante : comment le travail de rcriture contribue-t-il non plus seulement diffuser des savoirs et communiquer avec des publics, mais galement participer une rvision des pratiques curatoriales dans les collections ?Puis, cette recherche identifie deux types de stratgies partir d'une documentation de cas et d'tudes de terrains menes par l'auteure.D'abord, un travail qui (re)nomme des lments essentiels du cartel dans une approche plus thique et transparente de la part des muses, et une seconde approche qui rvalue le statut d'autorit du muse dans sa relation aux savoirs et aux publics.

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), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.262
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
Bibliometrics0.0000.003
Science and technology studies0.0020.001
Scholarly communication0.0060.008
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.305
GPT teacher head0.356
Teacher spread0.051 · 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