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Record W2822134205 · doi:10.29333/ejecs/91

The Decolonial in Practice, Quilombismo, and Black Brazilian Politics in “Postneoliberal” Times

2018· article· en· W2822134205 on OpenAlexaff
Alexandre Emboaba Da Costa

Bibliographic record

VenueJournal of Ethnic and Cultural Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicRace, Identity, and Education in Brazil
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPraxisRacismPoliticsSociologyCONTESTState (computer science)Gender studiesLegislationPolitical scienceMulticulturalismLawPedagogy

Abstract

fetched live from OpenAlex

Through an examination of anti-racist and decolonial politics in education in the Brazilian and Latin American contexts, this paper outlines underlying features shaping black political-epistemological struggles and the difficulties of reform via the state in an anti-black society. The article first situates emerging anti-racist legislation and multicultural policy in the region within larger discussions of the progressive Left Turn among governments and the emergence of postneoliberalism. The paper then examines how racism and state violence against black people have persisted within this leftward postneoliberal turn, shaping the manner through which anti-racist and decolonial politics seek to both contest and mobilize within state discourses and institutions to improve the situation of black people. In the last section, the paper proposes to understand black movement struggles of decolonial orientation through Abdias do Nascimento’s black Brazilian praxis of quilombismo, a praxis that consciously reflects both the predicaments and future possibilities presented by working for political-epistemic and cultural transformation within and beyond an anti-black state. The paper demonstrates quilombismo as the decolonial in practice through an analysis of anti-racist education legislation focused on curriculum reforms.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.369
Threshold uncertainty score0.720

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.045
GPT teacher head0.427
Teacher spread0.382 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations3
Published2018
Admission routes1
Has abstractyes

Explore more

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