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Record W2943685452

O Comitê da Basiléia e a Arquitetura Regulatória no Brasil (The Basel Committee on Banking Supervision and Brazil's Regulatory Architecture)

2018· article· pt· W2943685452 on OpenAlexaff
Dan Kraft

Bibliographic record

VenueSSRN Electronic Journal · 2018
Typearticle
Languagept
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Regulation and Crises
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHarmonizationPolitical sciencePortugueseHumanitiesAccountingBusinessPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Portuguese Abstract: Visando incrementar a integracao nacional as financas globais, as autoridades regulatorias brasileiras tem progressivamente absorvido normas harmonizadas que afetam diretamente a arquitetura do mercado financeiro interno. O Comite da Basileia iniciou seus trabalhos de avaliacao do risco sistemico e proposicao de condutas mais de 4 decadas atras, sendo que ha 10 anos o Brasil passou a ter voz ativa em tais discussoes. Este capitulo visa conhecer a natureza de tais normas, a evolucao do envolvimento brasileiro e as implicacoes decorrentes dessa densificacao normativa, lancando mao de fontes sobretudo internacionais. English Abstract: Brazilian regulatory authorities have adhered to rules’ harmonization as a means to facilitate the country’s integration to global finance, producing a direct impact in its internal market architecture. The Basel Committee started contributing to systemic risk and market conduct proposals long ago, but it’s been only ten years that Brazil became a formal and active participant in those discussions. This chapter aims at examining the nature of these rules as to Brazil’s involvement and implications derived from such normative densification, mainly under an international perspective.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.003
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 head0.236
Teacher spread0.221 · 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 designTheoretical or conceptual
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
Published2018
Admission routes1
Has abstractyes

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