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REPARAÇÃO, MEMÓRIA E VERDADE NA PRIMEIRA CONFERÊNCIA NACIONAL DE POLÍTICA INDIGENISTA

2023· article· pt· W4390711533 on OpenAlex

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 Debates Insubmissos - ISSN 2595-2803 · 2023
Typearticle
Languagept
FieldSocial Sciences
TopicIndigenous Studies in Latin America
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Após a Comissão Nacional da Verdade, a 1ª Conferência Nacional de Política Indigenista (CNPI) foi o momento e o local onde o movimento indígena se reuniu para refletir sobre o tema da reparação. O objetivo deste trabalho é discutir as várias dimensões do discurso de reparação do movimento indígena no Brasil. Em um primeiro momento, relembramos o contexto histórico-político da 1ª CNPI. Em seguida, apresentamos o debate que aconteceu no Eixo 6 sobre o direito à memória, à verdade e à reparação. Ao final, apontamos alguns dos limites e desafios da justiça de transição para os povos indígenas no Brasil. Veremos como a negação do direito à memória, à verdade, à justiça e à reparação para os povos indígenas, além de impedir um processo de reconciliação, encoraja, no tempo presente, a perpetuação ou a repetição de atos de violência e barbaridade já observados no passado.

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)0.004
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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.626
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.005
Science and technology studies0.0060.003
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.006

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 head0.038
GPT teacher head0.349
Teacher spread0.311 · 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