Restorations of the monumental polychromy of the Gothic cathedrals undertaken by Viollet-le-Duc
Bibliographic record
Abstract
The 19th Century restoration campaigns of Viollet-le-Duc constitute the general framework of this study which is limited to the Gothic cathedrals Notre-Dame de Paris and treats only one aspect of its restoration: monumental polychromy. By monumental polychromy we refer to the medieval use of colour on the sculpture and on the architectural elements both inside and outside the building. The goal of this paper is to ascertain whether the restorations of the monumental polychromy of the Gothic cathedrals undertaken by Viollet-le-Duc truly uphold the ideal proclaimed by the architect, namely, the restitution of the primitive aspect of the monuments. The first part resumes the concept of restoration according to Viollet-le Duc. The second part analyses the restoration of the internal polychromy of Notre-Dame de Paris chapels taken by the architect, analysing his choices and the polychromatic system he created. The third part concerns external polychromies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".