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Record W3002072594 · doi:10.4000/books.pufr.18722

Créer dans l’entreprise et exposer au musée : itinéraire d’artistes en résidence

2016· book-chapter· fr· W3002072594 on OpenAlexaff
Sophie Join-Lambert

Bibliographic record

VenuePresses universitaires François-Rabelais eBooks · 2016
Typebook-chapter
Languagefr
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsNational Museum of Fine Arts of Quebec
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Nicole Denoit : Sophie Join-Lambert est conservateur du musée des Beaux-Arts de Tours. Elle a le rôle, je ne dirai pas de distribuer des récompenses mais, tout de même, être exposé au musée pour un artiste est quelque chose d’important symboliquement et je vous remercie de votre présence. Sophie Join-Lambert : Bien volontiers je suis ici et bien volontiers je distribue des récompenses…, parce qu’en fait nous sommes sur trois domaines : un lieu institutionnel qu’est le musée des Beaux...

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.929
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0030.003
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
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 head0.020
GPT teacher head0.209
Teacher spread0.189 · 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 designTheoretical or conceptual
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
Published2016
Admission routes1
Has abstractyes

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