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Recortes da prisão: um mosaico de experiências literárias nas prisões federais brasileiras

2020· article· pt· W3107001971 on OpenAlexaff
Maria Luzineide Pereira da Costa Ribeiro

Bibliographic record

VenueRevista Graphos · 2020
Typearticle
Languagept
FieldSocial Sciences
TopicYouth, Drugs, and Violence
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Este artigo propõe-se a reunir recortes da prática literária na prisão, por meio de relatos e depoimentos de leitores encarcerados, que corporificam e legitimam, à luz de teóricos importantes da Estética da Recepção, a prática da leitura na prisão como atividade emancipadora. Aqui, interessa-nos a figura desse leitor, seu comportamento e os impactos da sua prática de leitura, sobretudo considerando a política pública de remição de pena pela leitura instituída pela Portaria Conjunta nº 276/2012, do Ministério da Justiça e do Departamento Penitenciário Nacional. Trata-se de recortes de relatos e depoimentos produzidos por presos das Penitenciárias Federais de Campo Grande (MS) e Catanduvas (PR), em Regime Disciplinar Diferenciado (RDD), entre os anos de 2010 e 2013, no âmbito de pesquisa de doutoramento. Os resultados reforçam a relevância da leitura no cárcere para além da ideia de remição de pena.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.762
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.072
GPT teacher head0.329
Teacher spread0.258 · 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 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
Published2020
Admission routes1
Has abstractyes

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