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Record W4382238786 · doi:10.24908/jcri.v10i1.15355

Brown Identities, Complicities, and Complexities: Towards Brown-Black Solidarities

2023· article· en· W4382238786 on OpenAlexaffvenueabout
Vidya Shah, jeewan chanicka

Bibliographic record

VenueJournal of Critical Race Inquiry · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Race Theory in Education
Canadian institutionsYork University
Fundersnot available
KeywordsRacializationWhite supremacySolidarityOppressionComplicitySociologyGender studiesDiasporaWhite (mutation)RacismEthnographyColonialismAnthropologyPolitical scienceRace (biology)LawPolitics

Abstract

fetched live from OpenAlex

Complicities and complexities in racialization simultaneously create possibilities and foreclose opportunities for cross-racial solidarities. In this auto-ethnographic paper, we share our learning and theorizing of Brown-Black solidarities since we filmed a webinar titled, “Brown Complicity in White Supremacy: Towards Solidarity for Black Lives” (SultyDee, 2020), one of several efforts towards Brown (South Asian)-Black solidarities in North America. We begin by situating ourselves in this conversation by troubling conceptions of “Brown” that flatten power asymmetries within the diaspora. We then theorize the inevitable complexities and complicities of the relational racialization of Brownness from anti-racist and anti-colonial framings and explore conceptions of Brown-Black solidarities. Finally, we draw on webinar feedback and our ongoing work in education and in communities in the Greater Toronto Area to offer a framework for strengthening Brown anti-racist orientations towards Brown-Black solidarities. This framework intends to examine intersections between white supremacy, anti-Black racism, caste oppression, and settler colonialism in a white settler state.

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)0.003
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.007
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.100
GPT teacher head0.440
Teacher spread0.339 · 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.

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

Citations20
Published2023
Admission routes3
Has abstractyes

Explore more

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