History, Anecdote, and Accuracy: Anicet Charles Gabriel Lemonnier’s <i>Première lecture, chez Madame Geoffrin, de l’ “Orphelin de la Chine,” tragédie de Voltaire, en 1755</i>
Bibliographic record
Abstract
Anicet Charles Gabriel Lemonnier’s Première lecture, chez Madame Geoffrin, de l’ “Orphelin de la Chine,” tragédie de Voltaire, en 1755 (1812) frequently appears in books, articles, and websites as an illustration of the famous salon of Mme Geoffrin. Most scholarship on the painting focuses on its status as a false “document,” and situates it within the context of Post-Revolution nostalgia for the ancien régime. These discussions ignore two key parts of this work’s history: its purchase by Joséphine de Beauharnais, and the critical reaction to its exhibition at the Salon of 1814. This essay explores these two interconnected aspects. First, I situate Joséphine’s interest in the broader cultural context of salonnières’ use of art to promote a femino centric history of the salon. Second, I consider how critics fixated on the painting’s anachronism, and deemed that aspect necessary to its success. Ultimately, I argue that the criticism and eventual dismissal of the work is rooted in broader inter pretations of the anecdotal genre scenes, and women’s interest in those subjects, as “feminine.”
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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 | 0.007 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.018 | 0.027 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".