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Record W4404823545 · doi:10.1177/09213740241305402

The ethnoracial commodification of Brazilianness at cultural festivals in Toronto, Canada

2024· article· en· W4404823545 on OpenAlexaboutno aff
Falina Enriquez

Bibliographic record

VenueCultural Dynamics · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsnot available
FundersOffice of the Vice Chancellor for Research and Graduate Education, University of Wisconsin-Madison
KeywordsCommodificationSociologyGender studiesMedia studiesEthnologyEconomy

Abstract

fetched live from OpenAlex

This article analyzes representations of Brazilianness at festivals in Toronto, Canada, to understand how ethnoracialized groups are negotiating cultural commodification and neoliberal entrepreneurship. At these festivals, Brazilian immigrants employ specific semiotic assemblages to present themselves as a culturally rich, entrepreneurially successful group. They uphold Canadian multicultural ideals while avoiding negative stereotypes associated with Latin Americans. Entrepreneurship is thus a key idiom through which ethnoracial and cultural differences are managed and transformed for profit within a neoliberal regime where minoritized groups compete for visibility and resources. Current forms of cultural commodification therefore merit study because they illuminate how capitalism reproduces ethnoracial 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 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)0.001
metaresearch head score (Gemma)0.002
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 score0.038
Threshold uncertainty score0.277

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0130.012
Scholarly communication0.0050.001
Open science0.0010.004
Research integrity0.0000.001
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 head0.024
GPT teacher head0.362
Teacher spread0.337 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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