Entre sincérité et artifice. La mise en scène de soi dans le portrait mondain
Bibliographic record
Abstract
Dans la seconde moitié du xviie siècle, le portrait mondain devient un véritable divertissement de société. Or on retrouve, dans les recueils de portraits publiés dans l’entourage de Mademoiselle de Montpensier, non seulement une majorité de modèles féminins, mais encore plusieurs femmes portraitistes qui s’appliquent à décrire tantôt leurs propres qualités, tantôt celles des autres. Cet article propose d’examiner la mise en place d’un ethos féminin à partir d’exemples tirés des Divers portraits, recueil publié en 1659. On verra de quelle façon cet ethos repose sur différentes stratégies rhétoriques qui contribuent à donner une voix, voire une légitimité, aux femmes portraitistes en particularisant la mise en scène de soi, tout en apportant une solution aux problèmes éthiques posés par l’art du portrait.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.026 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".