O financiamento da lavoura canavieira paulista: a atuação de negociantes de grosso trato na expansão da fronteira mercantil em Campinas colonial
Bibliographic record
Abstract
This article aims to analyze and highlight the role of Portuguese large merchants established in São Paulo in the construction and development of the sugar sector in Campinas (SP, Brazil) at the end of the colonial period. The central hypothesis is that these traders, especially Brigadeiro Luís Antônio de Sousa, were fundamental players in the creation of São Paulo's sugarcane plantations by investing their capital in land, slaves, and mills, contributing to the economic development of the region. This case occurred after they accumulated wealth, made possible by the political-economic conditions of São Paulo in the last quarter of the 18th century. In order to achieve this objective, the article systematizes, in the foreground, Jason W. Moore's concept of the commodity frontier and the political-economic transformations of São Paulo in the second half of the 18th century in order to understand how this accumulation of capitals occurred. Subsequently, the primary investments made by merchants in Campinas, will be presented in order to elucidate the role of merchant capital in the transformation of this sugar economy and the expansion of the sugar frontier. The principal findings indicate that the assembly of the sugar complex in Campinas, is closely connected to the capital investments that merchants made in the village.
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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 | 0.004 |
| 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 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".