Bibliographic record
Abstract
Dès la fin des années 1540, la famille de Jean de Morel accueillait dans sa maison de la rue Pavée à Paris les poètes et les humanistes les plus proéminents de la capitale: Nicolas Bourbon, Jean Salmon Macrin, Jean Dorat parmi les néo-latins; Joachim Du Bellay, Ronsard, Jean-Antoine de Baïf, pour ne citer que quelques-uns des poètes de langue vulgaire. Or, la femme de Morel, Antoinette de Loynes, et ses trois filles, Camille, Lucrèce et Diane, avaient toutes les quatre reçu une éducation humaniste, leur permettant non seulement de participer aux activités littéraires et humanistes de ce que l'on a appelé le premier salon en France, mais encore d'attirer l'admiration du monde cultivé de l'époque. En examinant la correspondance des membres de la famille ainsi que certains ouvrages imprimés, cet article se propose d'illustrer les relations que les membres de la famille ont entretenues avec les visiteurs du salon ainsi que les changements d'attitude qui ont eu lieu au cours du XVIe siècle à l'égard de l'éducation des jeunes filles.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 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".