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Record W4390237321 · doi:10.22197/rbdpp.v10i1.873

Intersecções entre o Eficientismo Processual Penal e o Neoliberalismo

2023· article· en· W4390237321 on OpenAlexaboutno aff
Marcos Eugênio Vieira Melo, André Rocha Sampaio

Bibliographic record

VenueRevista Brasileira de Direito Processual Penal · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicLaw, Economics, and Judicial Systems
Canadian institutionsnot available
Fundersnot available
KeywordsRationalityAuthoritarianismPremiseNeoliberalism (international relations)PaceQuality (philosophy)SociologyProcess (computing)DemocracyAmbiguityPolitical scienceEpistemologyLaw and economicsLawSocial sciencePhilosophyPoliticsComputer scienceGeography

Abstract

fetched live from OpenAlex

This article aims to address the meta-legal relations between the management of the speed of the criminal process and the social constraints arising from neoliberal reason. To this end, it is based on the premise established by Foucault and deepened by Dardot and Laval that neoliberalism has become socially rooted to the point of transmuting from a simple economic model to a rationality that spreads to the most diverse social fields. The work is guided by the question: are there harmful effects beyond the loss of quality in the motivation of decisions with the adoption of efficiency logic by the criminal judge? The objective is to verify whether the management principles of this reason may be harmful to the proper functioning of the criminal process. This is an exploratory, interdisciplinary research, based exclusively on bibliographical references. The conclusion is that there are no conditions for intensifying the pace of the criminal process without a loss of quality that is not only technical, but also democratic, since acceleration without other measures ends up catalyzing authoritarian clots that have never been completely expunged from the Brazilian system of criminal procedure.

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)0.014
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0030.034
Scholarly communication0.0090.007
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.033
GPT teacher head0.257
Teacher spread0.224 · 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 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

Citations1
Published2023
Admission routes1
Has abstractyes

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