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Record W4412672454 · doi:10.24302/drd.v15.6018

A teoria Staple e a desigualdade regional na Região do Contestado Catarinense: inserção externa e produção primária

2025· article· en· W4412672454 on OpenAlexaboutno aff
Jorge Amaro Bastos Alves

Bibliographic record

VenueDRd - Desenvolvimento Regional em debate · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicRural Development and Agriculture
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.015
GPT teacher head0.237
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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