Charles Le Brunr's Expressions for the Glory of the King: The Salon de la Guerre and the Salon de la Paix at the Chateau de Versailles
Bibliographic record
Abstract
As one of the founders of the Academie Royale de Peinture et de Sculpture in 1648, and Chief Painter to the King, Charles Le Brun was an influential artist and theorist of his time. One can argue his greatest success was his contribution at the Château de Versailles, a glittering palace built under the direction of Louis XIV. The Salon de la Guerre and the Salon de la Paix (1685- 86) were the last projects he completed at Versailles. The Salon de la Guerre celebrates France's contemporary military victories. Le Brun decorated the ceiling the Salon de la Paix with images of the peace given to Europe by France. This thesis argues that the figures in the salons can be understood by applying Le Brun's concept of Expression, about which he lectured in his Conference sur l'Expression (ca. 1668) at the Royal Academy. Le Brun used his concept of Expressions in the salons to portray the figures with individual Expressions. By using the Expressions in the Salon de la Guerre and the Salon de la Paix, Le Brun demonstrated the splendor France and Europe achieved under the absolute monarchy. Nicolas Poussin's Musical Modes and Rene Descartes Passions of the Soul influenced Le Brun while he was creating his own Expressions. Le Brun and his Conference as a whole are under-studied. There is no clear evidence of where, when, and why he used his Expressions. This examination of the salons proves Le Brun used his Expressions throughout his career to glorify the King.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".