MétaCan
Menu
Back to cohort

Restaurer et bâtir, Viollet-le-Duc en Bourgogne

2013· preprint· fr· W2921423834 on OpenAlexaboutno aff
Arnaud Timbert

Bibliographic record

VenuePresses universitaires du Septentrion eBooks · 2013
Typepreprint
Languagefr
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Viollet-le-Duc n’est guère abordé dans son travail de praticien. C’est cet aspect que ce volume propose de dévoiler à travers les monuments bourguignons restaurés et construits par l’architecte entre 1840 et 1879. L’enquête a été menée sur le fondement d’une riche documentation (lettres et rapports) destinée aux membres de la commission des Monuments historiques ou aux inspecteurs qui représentent l’architecte sur des chantiers aussi divers qu’Autun, Montréal, Saulieu, Sens ou Vézelay. La lecture de ces textes publiés en annexe permet de pénétrer l’intimité des travaux et d’aborder les orientations données par Viollet-le-Duc dans le dessein anthropologique de reconstituer les gestes, les techniques, les traces et les marques du chantier médiéval. Ces documents dévoilent également les raisons qui ont présidé au choix des carrières et des essences de bois. Ils nous autorisent par ailleurs à réévaluer la place du métal (fer, plomb) et à apprécier l’emploi des matériaux modernes (fonte, zinc) comme celui de techniques novatrices (estampage, silicatisation, pigmentation de l’appareil). Il est ainsi possible de cerner les critères archéologiques, économiques, architectoniques et esthétiques définis par Viollet-le-Duc pendant quarante ans de carrière et de remettre avec plus de justesse l’homme au coeur de son élément : le chantier.

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)0.001
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: Other
Teacher disagreement score0.052
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.005
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0190.003

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 head0.011
GPT teacher head0.192
Teacher spread0.181 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

Explore more

Same venuePresses universitaires du Septentrion eBooksSame topicHistorical Art and Culture StudiesFrench-language works237,207