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Record W1924489138 · doi:10.4000/lha.186

Reconstruire Vézelay et restaurer la Bourgogne : le choix des matériaux chez E.-E. Viollet-le-Duc

2008· preprint· fr· W1924489138 on OpenAlexaboutno aff
Arnaud Timbert

Bibliographic record

VenueLivraisons d histoire de l architecture · 2008
Typepreprint
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Parmi la multiplicité des recherches qui font l’actualité des études sur Eugène-Émmanuel Viollet-le-Duc, l’analyse des sources inhérentes à l’histoire des chantiers tient une place de premier ordre. Ces documents offrent, d’une part, une matière favorable à une connaissance précise des chantiers de Viollet-le-Duc en Bourgogne, parmi lesquels Vézelay, Montréal, Semur-en-Auxois et, d’autre part, favorisent une approche plus juste de « Viollet-le-Duc maître d’œuvre » en dévoilant une tension entre le théoricien et le praticien homme de la matière. Cet article propose, à travers des archives pour une grande part inédites – dont 190 lettres de Viollet-le-Duc à Émile Amé, second inspecteur des travaux pour Vézelay et la Bourgogne – de présenter les démarches engagées par l’architecte pour l’achat de la pierre ; d’apprécier les raisons qui contribuèrent au choix des carrières, des entrepreneurs en maçonnerie mais encore en charpenterie ; d’évaluer les critères qui présidèrent au choix des essences de bois (sapin, chêne) ; enfin, de mesurer la place et le rôle du métal dans la restauration (boulon, liaisonnage au plomb, zinc, etc.).

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)0.002
metaresearch head score (Gemma)0.004
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 score0.303
Threshold uncertainty score0.601

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.014
Scholarly communication0.0090.003
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.019
GPT teacher head0.217
Teacher spread0.199 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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