Les harnais de gala pour berline de la seconde moitié du XVIIIe siècle
Bibliographic record
Abstract
La rénovation de la salle dite des harnais fut l’opportunité de restaurer et de sauver un ensemble de harnais de la seconde moitié du XVIIIe siècle, conservés au musée national de la Voiture, afin de les présenter comme de véritables objets d’art au sein d’une sellerie. Les contraintes liées à ce choix d’exposition ont permis une réflexion sur le soclage de ces objets complexes et fragiles, à la fois discret et efficace. La restauration a redonné à ces œuvres leur éclat, et leur beauté retrouvée force l’admiration des visiteurs auxquels il faut donner des clés de lecture. Plusieurs œuvres peintes et graphiques ainsi qu’une maquette d’un carrosse à flèche de la fin du XVIIe siècle mettant ces œuvres en situation sur le dos des chevaux, offrent aux visiteurs les moyens de les comprendre et de les apprécier.
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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 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".