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Record W4402556740 · doi:10.12957/abusoes.2024.81409

NARRATIVAS INDÍGENAS SOBRE O FIM E O SONHO DE FUTUROS POSSÍVEIS EM THE MARROW THIEVES (2017), DE CHERIE DIMALINE

2024· article· pt· W4402556740 on OpenAlexaboutno aff
Rubelise da Cunha

Bibliographic record

VenueAbusões · 2024
Typearticle
Languagept
FieldHealth Professions
TopicIndigenous Health and Education
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

A ideia de "fim de mundo" ou "apocalipse", advinda inicialmente do pensamento judaico-cristão e das narrativas bíblicas, aponta para uma ideia de futuro a partir de uma linearidade temporal eurocêntrica. Neste artigo, investigamos, a partir de uma postura de escuta de outros saberes à qual nos instiga Eduardo Viveiros de Castro em Metafísicas canibais (2018), como as epistemologias dos povos originários expressas nas Literaturas Indígenas podem nos oferecer perspectivas que desloquem nosso eixo espaço temporal e transcendam a lógica racional eurocêntrica. Abordamos discussões sobre o fim do mundo por autores indígenas como Ailton Krenak, Davi Kopenawa, Daniel Munduruku e Drew Hayden Taylor a fim de analisar o romance canadense The marrow thieves (2017), da autora Métis Cherie Dimaline. O romance indigeniza gêneros como a ficção pós-apocalíptica e a cli-fi ao incorporar formas tradicionais de construção de conhecimento, como o sonho e a contação de histórias, em defesa de futuros possíveis para os povos indígenas e o planeta.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.019
Scholarly communication0.0090.011
Open science0.0010.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0120.001

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 head0.052
GPT teacher head0.399
Teacher spread0.346 · 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 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
Published2024
Admission routes1
Has abstractyes

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