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Record W4405357133 · doi:10.55905/oelv22n12-100

O abuso do direito de voto na assembleia geral de credores: análise da complementaridade entre a jurisprudência do STJ e as diretrizes do § 6º do Art. 39 da Lei nº 14.112/2020 para declaração de nulidade

2024· article· pt· W4405357133 on OpenAlexaff
Breno Augusto Pinto de Miranda

Bibliographic record

VenueOBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA · 2024
Typearticle
Languagept
FieldSocial Sciences
TopicBrazilian Legal Issues
Canadian institutionsDucks Unlimited Canada
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

O artigo explora as inovações da Lei nº 14.112/2020 à Lei de Recuperação Judicial e Falência (LRJF), especialmente o § 6º do art. 39, que permite a anulação de votos abusivos na Assembleia Geral de Credores (AGC). O problema que motiva a pesquisa é a necessidade de critérios mais objetivos para identificar o abuso do direito de voto, que ocorre quando credores exercem seu voto de modo a obter vantagens ilícitas ou prejudicar o processo de recuperação, desrespeitando o princípio da boa-fé e a função social da empresa. O estudo tem como objetivo examinar os novos parâmetros legais introduzidos pela reforma para o juízo falimentar, possibilitando que votos exercidos com abuso possam ser anulados. A metodologia adotada envolve análise normativa e doutrinária, além de um exame da jurisprudência relevante. Os resultados indicam que a reforma trouxe maior segurança jurídica ao definir critérios mais objetivos para a nulidade de votos abusivos, reduzindo a subjetividade das decisões judiciais. Ainda assim, desafios persistem, como a comprovação da intenção ilícita e o equilíbrio entre interesses individuais e coletivos. Conclui-se que a aplicação prática da nova regra contribui para a efetividade da recuperação judicial e reforça a preservação da função social das empresas.

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 imitation

Not 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.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.092
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.092
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.006
Science and technology studies0.0070.008
Scholarly communication0.0120.007
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0100.001

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 head0.033
GPT teacher head0.340
Teacher spread0.307 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2024
Admission routes1
Has abstractyes

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