De Divitiis, Bianca, ed. A Companion to the Renaissance in Southern Italy (1350–1600)
Bibliographic record
Abstract
When one thinks about early modern Italy, Florence, Rome, and Venice immediately come to mind.One may look to Milan, or even the minor courts of Ferrara, Urbino, Mantua, and others.Rarely, though, does one think about Naples, Sicily, Sardinia, or other points south of Rome.This is as much a historiographical problem as it is a political one.It reflects the "questione meridonale, " or southern question, and the belief that southern Italy, often called the Mezzogiorno, was too backward and unsophisticated to be successfully integrated into a united Italy.Because the region is so often judged through modern stereotypes and not interrogated with the same critical lens as the North, it has, as Bianca de Divitiis writes in the introduction to this collection, "remained largely untouched by-and indeed because of its circumstances precluded from-the multifaceted cultural, artistic, and social phenomenon known as the Italian Renaissance" (1).While this skewed picture has improved in the past few decades, there is still much to be done, and this collection is an important step towards correcting the misrepresentation of the early modern Mezzogiorno.Across twenty-four chapters, the volume convincingly illustrates that the early modern Mezzogiorno was as complex as anywhere else in Italy.And Naples is not the only focus here: often presented as merely the rural hinterlands of the Neapolitan metropole, the rest of the Mezzogiorno is often completely ignored.To combat this, "the essays here do not take Naples as the main object of their study and analysis but instead as a term of comparison and measure of distance within a new polycentric image of southern Italy" (5).While Naples might have been the capital and largest city of the South, it was hardly the only locus of power or area of investigation: other centres, such as Lecce, Capua, Otranto, and so on, punctuate the essays in this collection.The collection begins with de Divitiis's introductory essay that sets up the collection and provides a useful overview of the region's history from antiquity until early modernity.This overview illustrates how the history of the region has led to, unfairly, the misrepresentation of its history.Crucial here is the fact that the Mezzogiorno was never, or rarely, ruled by "Italians, " a fraught term for the
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.030 | 0.015 |
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".