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Record W7020323729

Les Sarcophages des Époux du Museum of Fine Arts de Boston : des chefs d'œuvre de l'art étrusque qui auraient pu ne jamais venir en Amérique: Communication au CXXXIIIe Congrès des Sociétés Savantes "Migrations, transferts et échanges de part et d'autre de l'Atlantique", Québec, 3 juin 2008.

2008· article· fr· W7020323729 on OpenAlexaboutno aff

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2008
Typearticle
Languagefr
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsWestern europeWoodcutNational library
DOInot available

Abstract

fetched live from OpenAlex

Lorsque les collections d'antiquités se développèrent sur le continent américain, cela faisait longtemps que des collections très importantes s'étaient formées en Europe et il n'existait plus beaucoup de très belles pièces susceptibles d'être acquises. Le cas des deux sarcophages des époux du Musée de Boston, œuvres étrusques d'une qualité exceptionnelle, parvenues aux USA en 1883, représente une exception. Découvertes en 1846 par la veuve de Lucien Bonaparte sur le site de Vulci, après des velléités d'achat par la Prusse et surtout par la France de Napoléon III, retenues longtemps en Italie par la réglementation de l'Etat pontifical, elles furent finalement vendues à J. J. Jarvis et G. Maquay qui les apportèrent à Boston. Ce cas est emblématique des différences des modes de formation des collections des deux côtés de l'Atlantique : on comparera ce processus d'acquisition de pièces d'antiquités étrusques à celui qui fut mis en œuvre en Europe lors de la vente de l'énorme collection Campana en 1860, où les instances officielles de la France, la Grande-Bretagne, la Russie, la Belgique furent impliquées.

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)0.001
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: none
Teacher disagreement score0.645
Threshold uncertainty score0.705

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.003
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.051
GPT teacher head0.275
Teacher spread0.224 · 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
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
Published2008
Admission routes1
Has abstractyes

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Same venueHAL (Le Centre pour la Communication Scientifique Directe)Same topicCultural Identity and HeritageFrench-language works237,207