An Ancient Scheme: The Mississippi Company, Machiavelli, and the Casa di San Giorgio (1407–1720)This article is part of a broader project. It was presented at seminars at Tulane University (2012), at McGill University (2013), at Duke University (2013), at the University of Utrecht (2014) and at the conference of the Economic History Society in a panel organized by Larry Neal (2014). I wish to thank the colleagues of these institutions for the invitations, the discussions, the criticisms and the support.
Bibliographic record
Abstract
Abstract German legal historians of nineteenth and twentieth centuries defined the main characteristics of the corporations and believed that one renaissance institution, the Casa di San Giorgio at Genoa (1407–1805), was similar to the corporations of later centuries. This paper proposes to reverse this perspective: did the founders of early modern corporations know the financial model of the fifteenth century Casa di San Giorgio? The research shows the connection between the model of the Casa di San Giorgio and the Mississippi Company of John Law (1720), the famous financial scheme and bubble. The history of the Casa di San Giorgio was mainly transmitted through a passage of Machiavelli’s History of Florence (VIII, 29). The paper offers new biographical evidence that Law had been to Genoa and introduces sources connecting the genesis of Law’s scheme for the Mississippi Company in France with the model of the Casa di San Giorgio.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".