Siméon-Prosper Hardy, Mes Loisirs, ou Journal d’événemens tels qu’ils parviennent à ma connoissance (1753-1789) , sous la direction de Daniel Roche et Pascal Bastien. Volume I (1753-1770). Québec, Presses de l’université Laval, 2008, 836 p., ill. (Les collections de la République des lettres).
Bibliographic record
Abstract
Coming mostly from the cathedral chapter in Beauvais, the rich manuscript collection owned by the Le Caron de Troussures family was broken up at the beginning of the twentieth century. This article recounts the various episodes of sucessive sales from 1907 to 1912, stressing the role played by Henri Omont, curator of the Cabinet des Manuscrits in the French Bibliothèque Nationale. Along with renowned buyers, e.g. John Pierpont Morgan, or booksellers such as Quaritch or Rosenthal, the erudite librarian managed, by resorting to patronage and by passing some administration rules, to bring back into the national heritage a large part of the manuscripts once in the Beauvais cathedral library, the most ancient dating back to the seventh century. Of the forty-six manuscripts in the Troussures collection, twenty are kept today in the BnF, nine in the New York Pierpont Morgan Library, the remainder being spread between various European and American libraries.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.067 | 0.011 |
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".