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Record W3119891054 · doi:10.4000/insitu.29022

« Sous une vaste nef, simple, svelte et légère… »

2021· article· fr· W3119891054 on OpenAlexaff
Soline Morinière, Grégory Reimond

Bibliographic record

VenueIn Situ · 2021
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsCanadian Heritage
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

À la fin du xixe siècle, il existe deux collections publiques de moulages à Bordeaux : l’une à la faculté des lettres, l’autre à l’École municipale des beaux-arts et des arts décoratifs. Ces collections, qui se constituent et s’enrichissent grâce au dynamisme des élites locales et au soutien du ministère de l’Instruction publique, sont l’un des fondements de l’enseignement scientifique (archéologie et histoire de l’art) et artistique. Entre 1896 et 1898, les liens se resserrent entre les deux institutions, les universitaires étant de plus en plus impliqués dans la gestion des affaires de l’école municipale des beaux-arts avant que Pierre Paris, professeur d’archéologie et d’histoire de l’art à la faculté, n’accède au poste de directeur de l’école (1898). C’est dans ce contexte qu’émerge un projet ambitieux et original à l’échelle du territoire français : fonder un institut d’art et d’archéologie destiné à faire travailler main dans la main les étudiants de l’université et les artistes de l’école municipale. Le présent article se propose de revenir sur l’histoire de ce projet et sur son échec.

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)0.003
metaresearch head score (Gemma)0.005
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 score0.070
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0120.019
Scholarly communication0.0130.006
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0140.004

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 head0.028
GPT teacher head0.249
Teacher spread0.221 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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