Italian Wars, 1494–1559
Bibliographic record
Abstract
According to the Florentine historian Francesco Guicciardini, Italy enjoyed peace and plenty in the years around 1490. From 1494 it was plunged into what he and others regarded as a series of “calamities,” triggered by the French kings Charles VIII (r. 1483–1498) and Louis XII (r. 1498–1515), who claimed to rule the kingdom of Naples and the duchy of Milan, respectively. Francis I (r. 1515–1547) retained the claim to Milan, and the wars themselves continued through the reign of Henry II (r. 1547–1559). Rule over Naples was contested and secured by Ferdinand II of Aragon (r. 1479–1516) and maintained by his Iberian successors. Milan was an imperial fief, so was contested by Ferdinand’s grandson Charles V in his capacity as Holy Roman emperor (r. 1519–1556). The conflicts waged in Italy in the names of these various princes between 1494 and 1559 are collectively known as the Italian Wars. They include the War of the League of Cambrai (1508–1516), that of the League of Cognac (1526–1530), and the War of Siena (1552–1559). This article approaches the wars by means of Reference Works and Overviews specifically devoted to the Italian Wars, though it is also worth teasing information from histories of Renaissance Warfare. Contemporary Sources provide innumerable angles on a subject that can be difficult to define beyond events on the battlefield or the besieged city and are therefore subdivided into four types: Memoirs and Chronicles, Histories, Official Records, and cultural evidence, the last of which appears under the heading Art of War, Art and War. Some publications deal with individual episodes or short spans of time and therefore feature in a Chronology of War, itself subdivided at the death of Louis XII/accession of Francis I, 1494–1515 and 1515–1559. The biographical genre—Lives and Times—is the most obvious way of dealing with the leading protagonists, who tended to be Princes, but group studies are also relevant when one turns to Subjects and Citizens who contributed to the conflicts in some form or other. Some authors have confined their research to military history, including the recruitment of soldiers, their pay, and provisions, as well as their activities on the battlefield, but the Italian Wars witnessed so much overlap between the lives of Soldiers and Civilians that they are brought together in the penultimate section of the article, which then concludes with the miscellanies that are Collections of Papers.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.008 |
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".