The King’s Sick Body: The Spiritual and Social Implications of Arnau of Vilanova’s Regimen Sanitatis
Bibliographic record
Abstract
In 1305, the physician Arnau of Vilanova composed the Regimen sanitatis ad inclytum Regem Aragonum (“Regimen of health for the sick King of Aragon”) for Jaume II, king of Aragon, who was suffering a bout of discrasia (imbalanced complexion). Arnau’s work would be rapidly translated into Catalan and become an enduring classic of the regimen sanitatis literature. In this dissertation, I aim to contextualize the composition, translation, and dissemination of Arnau’s Regimen. First, I place Arnau in the context of thirteenth-century Iberian medicine, noting his many contributions to the development of university-based medicine. I go on to discuss Arnau’s spiritual concerns, and read the Regimen sanitatis in the light of Arnau’s apocalyptic preoccupations and the theory of The King’s Two Bodies, the medieval political and legal theory which posited that the king had both a private and a public body. I then move on to discuss the important role played by Blanca of Anjou, wife of Jaume II and Queen of Aragon, who commissioned the first Catalan translation of the Regimen, in the dissemination of the text, while locating Blanca in the context of Aragonese queenship and female readership/patronage of scholarly medical texts. Finally, I discuss two Catalan translations of the Regimen, with a specific focus on what was preserved and what was lost in translation, as well as the influence of the Catalan translations on later Hebrew translations of the text. This discussion of the composition, translation, and dissemination of Arnau’s Regimen provides us with insights into the relationship between medical texts and their readers, as well as how university-based scholarly medical texts made their way to non-Latinate readers.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.015 | 0.018 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".