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Record W2997437539 · doi:10.4000/techne.1538

Le collectionnisme des xviie et xviiie siècles. Les céramiques post-palisséennes de provenance ancienne dans les collections françaises

2019· article· fr· W2997437539 on OpenAlexaff
Françoise Barbé, François Coulon, Jessica Denis-Dupuis

Bibliographic record

VenueSpotlight · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicDeath, Funerary Practices, and Mourning
Canadian institutionsNational Museum of Fine Arts of Quebec
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Afin de pouvoir s’appuyer sur des pièces incontestablement authentiques pour mener en toute confiance l’étude pluridisciplinaire en cours sur les céramiques post-palisséennes, la recherche sur les provenances s’est révélée précieuse. Au sein du corpus des pièces conservées dans les collections publiques françaises, trois ensembles permettent de remonter aux xviie et xviiie siècles : douze œuvres provenant des collections de Brunswick et de Cassel, saisies par les armées napoléoniennes, sont actuellement conservées au musée du Louvre, au musée national de la Renaissance à Écouen et au musée d’Art et d’Archéologie de Guéret ; sur la quinzaine de céramiques dessinées par Étienne de Faye entre 1690 et 1738 dans la Description d’un cabinet et d’un médaillier de l’abbaye Saint-Jean-des-Prémontrés d’Amiens, sept sont encore conservées au musée de Picardie à Amiens ; enfin, deux pièces de la collection constituée par Christophe-Paul de Robien au xviiie siècle sont arrivées au musée des Beaux-Arts de Rennes par le biais des saisies révolutionnaires.

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: Empirical · Consensus signal: none
Teacher disagreement score0.163
Threshold uncertainty score0.324

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0060.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.004

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 head0.020
GPT teacher head0.272
Teacher spread0.252 · 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
Published2019
Admission routes1
Has abstractyes

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