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A colonialidade do poder em Aníbal Quijano e as possibilidades de resgate da identidade latino-americana difundidas por meio de programas de pós-graduação em países sul-americanos

2024· dissertation· pt· W4410116260 on OpenAlexfundno aff
Fernanda Eduardo Olea do Rio Muniz

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldSocial Sciences
TopicLatin American Cultural Politics
Canadian institutionsnot available
FundersUniversidad Nacional Agraria La MolinaFondo Nacional de Desarrollo Científico y TecnológicoOrganisation de Coopération et de Développement ÉconomiquesInstituto Colombiano de Crédito Educativo y Estudios Técnicos en el ExteriorEscuela Politécnica NacionalMinisterio de Economía y CompetitividadFundação de Amparo à Pesquisa do Estado da BahiaFondo Argentino SectorialFundação de Apoio à Pesquisa do Distrito FederalFundação de Amparo à Pesquisa do Estado do Rio Grande do SulFinanciadora de Estudos e ProjetosMinistério da EducaçãoMinisterio de Ciencia, Tecnología e Innovación ProductivaUniversidad EAFITEscuela Superior Politécnica del LitoralInternational Development Research CentreFundação de Amparo à Pesquisa do Estado de São PauloMinistério da Ciência, Tecnologia e Inovação
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Agradeço à Universidade de São Paulo (USP) e ao Programa de Pós-Graduação em Integração da América Latina (PROLAM), por me oportunizarem fazer parte do corpo discente de uma das instituições mais respeitadas da América Latina.Programa que se consagra com 35 anos de tradição em pesquisas latino-americanas.Agradeço aos professores das disciplinas que cursei, cuja dedicação e o conhecimento me servem de inspiração.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.105
Threshold uncertainty score0.209

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.009
Scholarly communication0.0050.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.000

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 head0.029
GPT teacher head0.377
Teacher spread0.348 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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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