Petite étude du grand habit à travers les mémoires quittancés de la comtesse d’Artois (1773-1780)
Bibliographic record
Abstract
Marie-Thérèse de Savoie (1756-1805) épouse le 16 novembre 1773, en la Chapelle royale de Versailles, le troisième petit-fils de Louis XV, Charles-Philippe, comte d’Artois, futur Charles X. Les Archives nationales à Paris possèdent un fonds de mémoires quittancés adressés à la comtesse de Bourbon-Busset, sa dame d’atours, par les fournisseurs de sa garde-robe. Ils furent établis entre 1773 et 1784. Le grand habit y est l’objet de nombreuses livraisons. Cette étude s’attache dans un premier temps à l’identification des éléments constitutifs de celui-ci. Elle détaille ensuite ce que nous apprenons de ses usages, de ses matériaux et de ses fournisseurs et conclut sur une évaluation de la proportion des grands habits dans le volume global des vêtements livrés à la comtesse.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".