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Record W3041987975 · doi:10.1080/13504630.2020.1787823

‘Some nice Latin American music will be played by a tape player’: anti-racist critique and the multicultural state

2020· article· en· W3041987975 on OpenAlexafffundabout
Azar Masoumi

Bibliographic record

VenueSocial Identities · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American and Latino Studies
Canadian institutionsCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsMulticulturalismRacismSociologyRacializationPoliticsGender studiesState (computer science)Diversity (politics)LawPolitical scienceAnthropologyRace (biology)

Abstract

fetched live from OpenAlex

This article explores multicultural politics of ‘anti-racism’ through a detailed and contextualized study of the 1993 March 21 campaign in Canada’s largest federal administrative tribunal, the Immigration and Refugee Board of Canada (IRB). I argue that multicultural state politics thwart serious engagement with anti-racist critique, and drastically reconfigure the meanings and consequences of anti-racism. Within multicultural state politics, anti-racism quickly devolves to apolitical recycling of diversity discourses, and benign celebrations of cultural festivities. As I will show, state multiculturalism is a cheap institutional production that heavily relies on the unpaid labour of racialized civil servants, and leaves the status quo largely intact. Ironically, multicultural celebrations of diversity produce novel opportunities for racialization and racial exploitation. While the celebrations go on, relations of racial dominance are reproduced and protected from critique.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.373
Threshold uncertainty score0.741

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0360.042
Scholarly communication0.0140.004
Open science0.0010.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.303
Teacher spread0.282 · 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 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

Citations5
Published2020
Admission routes3
Has abstractyes

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