Estruturas de Governança em Cooperativas de Crédito Brasileiras e Canadenses: um comparativo sob a ótica da Teoria dos Custos de Transação
Bibliographic record
Abstract
Este artigo objetiva analisar a influencia das Estruturas de Governanca (EG) nos Custos de Transacao (CT) de Cooperativas de Credito brasileiras e canadenses. A analise de dois estudos de caso no Brasil e no Canada comprovou que a evolucao das estruturas de governanca ocorreu, simultaneamente, a evolucao do ambiente juridico-institucional, em um processo dialetico. Constatou-se, nos casos do Movimento Desjardins e do Sistema Sicredi que, embora evoluindo a partir de ambientes institucionais distintos, ha uma tendencia a homogenia das redes na criacao de instituicoes ad hoc para lidar com a governanca. Assim, ambas as redes possuem instituicoes especificas para lidar com essas funcoes. A diferenca principal reside no tipo societario utilizado e no processo de governanca decorrente deste. Inferiu-se, ao final da pesquisa, uma equacao para comparar as EG hibridas, em que custos incorridos para realizar transacoes internas, somado aos custos das pressoes politicas e sociais precisam ser menores ou iguais aos CT com instituicoes com EG hierarquicas.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".