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Voices from the South: Decolonial and postcolonial conversations

2023· article· en· W4389576566 on OpenAlexaff
Bárbara Inês Ribeiro Simões Daibert

Bibliographic record

VenueRevista Brasileira de Literatura Comparada · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDecolonial Thought and Epistemologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDecolonialityPostcolonialism (international relations)ModernityCriticismAestheticsDisconnectionNeocolonialismColonialismSociologyEpistemologyLiteraturePhilosophyHistoryGender studiesArt

Abstract

fetched live from OpenAlex

Abstract Over the last ten years, although a certain amount of critical effort has gone into bringing the debates around Postcolonial and Decolonial Studies closer together, these two areas still remain on opposite or different sides of a debate that is often heated and irreconcilable. Particularly at the beginning of the current century, following the publication of Walter Mignolo's (2000) Local Histories/Global Designs, much of the postcolonial criticism found itself on a collision course with decolonial discourse. In the same way, the main authors of the Modernity/Coloniality/Decoloniality group became critics of Postcolonial Studies by formulating the bases of Decolonial thought under the concept of the “Decolonial Turn”, which demands a disconnection and break with the Western structures of thought, under which Postcolonialism built its responses to the literature of the former colonialist empires. In this sense, this text intends to investigate the theoretical path that culminates in the break between Decolonial and Postcolonial studies, and our aim is to open up questions that can favor dialogue between the two theoretical fields and also open up possibilities for a South-South dialogue based on a new understanding of the new and old epistemologies.

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)0.018
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.977
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0230.038
Scholarly communication0.0110.011
Open science0.0020.015
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0070.001

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 head0.036
GPT teacher head0.323
Teacher spread0.287 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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