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Record W4399291619 · doi:10.18224/frag.v31i4.9032

POR UMA VIDA SEVERINA VIVIDA: DIREITO, DECOLONIALIDADE E EMANCIPAÇÃO – UM DIÁLOGO COM <i>MORTE E VIDA SEVERINA</i>

2022· article· pt· W4399291619 on OpenAlexaff
Fernanda de Paula Ferreira Moi, Victor Hugo de Santana Agapito

Bibliographic record

VenueRevista Fragmentos de Cultura - Revista Interdisciplinar de Ciências Humanas · 2022
Typearticle
Languagept
FieldSocial Sciences
TopicSocial and Economic Solidarity
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsArtPsychology

Abstract

fetched live from OpenAlex

O presente artigo pretende discutir a obra Morte e Vida Severina, de João Cabral de Melo Neto, analisando as possibilidades acerca da construção de um pensamento jurídico voltado à Decolonialidade – do poder, do ser e do saber – mensurando seus possíveis contributos para essa nova perspectiva no que concerne ao Direito no contexto agrário brasileiro. Portanto, a investigação partirá da discussão acerca das representações da questão agrária brasileira na obra literária, de modo que; num segundo momento, se reflete sobre as possibilidades interdisciplinares entre Direito e Literatura numa perspectiva das Epistemologias do Sul para; num terceiro momento, serem debatidas as possibilidades da abordagem Direito, Literatura e Deconialidade, no recorte da obra de João Cabral de Melo Neto. Trata-se de pesquisa investigatória feita através de revisão bibliográfica, utilizando-se do método hermenêutico ricoeuriano conjugada à hermenêutica diatópica boaventuriana cujos resultados serão objetos de uma análise qualitativa.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.376
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.002
Science and technology studies0.0110.001
Scholarly communication0.0040.001
Open science0.0050.006
Research integrity0.0010.003
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 head0.031
GPT teacher head0.307
Teacher spread0.276 · 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; both teacher heads agree on what is shown here.

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
Published2022
Admission routes1
Has abstractyes

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