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Record W4248509804 · doi:10.32920/ryerson.14664621

Afrocentricism : situating theories of blackness in education

2021· preprint· en· W4248509804 on OpenAlexaff
Hannington Yiga

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsToronto Metropolitan UniversityYork University
Fundersnot available
KeywordsOppressionEssentialismSociologyRacismCritical race theoryPostcolonialism (international relations)Gender studiesResistance (ecology)Critical theoryCurriculumContext (archaeology)PoliticsIntersectionalityRace (biology)PedagogyEpistemologyPolitical science

Abstract

fetched live from OpenAlex

This major research paper will apply theories of postcolonialism with blackness and social spatiality to understand how social discourses on race are reproduced within an educational context. It will argue that the construction of racialized spaces within the school has negatively impacted upon the academic performance of black students. This necessitates a critical analysis of the Eurocentric and racist educational practices and policies that have affected black academic achievement. An exploration of an anti-racist and culturally inclusive Afrocentric curriculum will also be undertaken to determine if an alternative teaching program, which is rooted in African cultural perspectives, can adequately address the effects of internalized oppression. However, Afrocentricism should not be interpreted as a culturally homogenizing theory of practice. It should instead be conceived of as a strategic essentialism. Ultimately, the psychological resistance to anti black racism, provided by Afrocentricism, should be linked to political actions which address socio-economic inequalities.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score0.938

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.013
GPT teacher head0.345
Teacher spread0.333 · 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 designTheoretical or conceptual
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
Published2021
Admission routes1
Has abstractyes

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