Bibliographic record
Abstract
Communal military systems in the Fourteenth and Fifteenth Century Italy are largely based on personal compulsory corvées. Therefore, townsfolks mobilisation for military expeditions (Cavalcate) need to be enforced by some sort of sanction, of a nature and severity varying from Commune to Commune and according to circumstances. In Siena, thanks to thanks to extensive documentation, it can be observed how the Commune punished transgressors between XIII and 1287 with the Ghibelline government and from 1287 to 1355, the years of the Guelph government of the Nove. From the analysis of the documents, it is possible to measure the political meaning of the offense, treated differently by Ghibellini and Guelphs, the economic impact that the fines had for offenders. It was with the government of the Nove that the first military justice organs were created, functional to the policies of the regime. With the crisis of the government of the Nine, we are witnessing a slow but progressive decrease in the offense towards the middle of the fourteenth century, attributable to the increasingly important use of mercenary troops.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".