Politics of Representation in 18th century England & France: The Case of Le Chevalier de Saint-Georges
Bibliographic record
Abstract
A surprising majority of the existing images of Joseph Bologne, Le Chevalier de Saint-Georges, were created during a short period from 1789- 1791, and are essentially the result of his visit to London for a fencing exhibition match organized for the Prince of Wales by the Duc d’Orleans and his political operatives. The scarcity of French- origin images of Le Chevalier, so celebrated during his lifetime in France as a musician, composer, musical director, and fencing master, is perplexing. Why is this the case? Perhaps it can be explained in part by the French visual culture at the time, characterized by censorship and intolerance in the visual arts, in stark contrast to a popular print culture in England that tolerated political and social commentary and even satire, creating a market for prolific production and enthusiastic consumption by the British public.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".