“Tutti gli occhi del mondo”: Court Networks between Turin and Madrid, 1640–1700
Bibliographic record
Abstract
Although the court of Turin’s role in the new balance of power in Europe during the War of the Spanish Succession is well known, far less is known about the strategic function of its collateral courts, such as the court of the princes of Savoy-Carignano. Based on the correspondence of the Savoy ambassador to Madrid, Costanzo Operti (1690–95), this article focuses on these courts to demonstrate the formal and informal diplomatic interplay among male and female aristocrats from 1640 to the end of the seventeenth century. One such noblewoman, Olimpia Mancini of Carignano-Soissons, was an Italian who grew up in the French court and maintained a close relationship with Louis XIV. As the wife of a prince of the Savoy-Carignano branch, she held important positions in Turin, Paris, and Madrid. Mother to the famous prince and military warrior Eugene of Savoy, after she lost her powerful status in France, she sought to find a place in the Madrid court as lady-in-waiting to Queen Marie Louise de Orléans. Her mother-in-law, Marie de Bourbon-Soissons, played an outstanding role in maintaining the honour and prestige of the court of Carignano.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".