A teoria Staple e a desigualdade regional na Região do Contestado Catarinense: inserção externa e produção primária
Bibliographic record
Abstract
This article aims to present theoretical conceptions that explain the economic growth and development of the Contestado region, located in the state of Santa Catarina, based on the dynamics of interregional and international exports. The study is grounded in a literature review on development theories and regional characteristics, as well as the use of secondary data to assess regional economic performance. The analysis is guided by the Staple Theory, formulated in the Canadian context, which proposes a model of economic growth led by the export of primary goods. This theory seeks to understand how regional endowments of natural resources generate external demand, influence export dependency, and trigger production linkages and technological changes. In the Contestado region, timber exploitation and animal protein production remain key economic pillars. However, challenges related to the unequal distribution of wealth and political power persist. It is concluded that interregional trade holds equivalent weight to international exports in the local economic dynamics: in 2018, 37% of Santa Catarina’s processed meat demand was destined for international markets, and 30% for other Brazilian states. In the wood, furniture, and paper sector, 39% of the demand came from other regions of Brazil. Keywords: economic development; production chains; interregional trade; primary export model; territorial integration.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".