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Record W3016327648 · doi:10.4000/rccs.10371

A Comissão da Verdade no Brasil: a luta pela memória em uma democracia fragilizada

2020· article· pt· W3016327648 on OpenAlex
Celia Regina do Nascimento de Paula, Fernando Antonio Da Costa Vieira

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista crítica de ciências sociais/Revista crítica de ciências sociais · 2020
Typearticle
Languagept
FieldSocial Sciences
TopicBrazilian cultural history and politics
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsPolitical scienceHumanitiesDemocracyPhilosophyPoliticsLaw

Abstract

fetched live from OpenAlex

Instituída no Brasil em 2012, a Comissão Nacional da Verdade (CNV) apresentou relatório das suas ações em 2014. Ao torná-lo público, a CNV, além de citar nominalmente os agentes do Estado que violaram direitos humanos, apresentou relatos sobre as mortes de 434 pessoas, vítimas de arbitrariedades, descrições sobre técnicas de tortura, execuções, detenções ilegais, desaparecimentos forçados e ocultações de cadáveres. O presente trabalho visa debater a ação da CNV dentro dos limites que lhe foram impostos – o de considerar a Lei de Anistia de 1979 – e o eixo da luta pelo resgate da memória negada aos desaparecidos políticos. A análise de documentos produzidos pela CNV e as reportagens produzidas pela mídia serão o material utilizado para a produção deste artigo.

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.

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)0.005
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, 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 score0.435
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.017
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0000.004
Science and technology studies0.0070.004
Scholarly communication0.0040.002
Open science0.0050.001
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0100.006

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 head0.060
GPT teacher head0.317
Teacher spread0.257 · 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