Perspectivas da Pesquisa em Governança de Empresas Familiares no Brasil
Bibliographic record
Abstract
Resumo Este artigo apresenta as perspectivas da pesquisa em Governança de Empresas Familiares no Brasil, resultantes da chamada desta edição especial da RAC endereçada ao tema. Os dois artigos tratam de temas relevantes no debate acadêmico, a saber: a necessidade de um arcabouço teórico para a avaliação de processos decisórios estratégicos de empresas familiares; e a importância da diversidade de gênero nos conselhos de administração destas empresas. As proposições e evidências elencadas nos dois estudos, relativas aos construtos e variáveis que apresentaram consistência teórica ou estatística, abrem uma nova frente de pesquisa sobre o tema no Brasil, relacionada à conciliação da heterogeneidade da composição dos Conselhos de Administração com a criação de valor em Empresas Familiares.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.009 |
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; both teacher heads agree on what is shown here.
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".