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Record W4384342596 · doi:10.20319/pijss.2023.92.5280

SELF-ORIENTALISM REPACKAGED: WONG WING FRIED RICE

2023· article· en· W4384342596 on OpenAlexaffabout
Neela Imani

Bibliographic record

VenuePEOPLE International Journal of Social Sciences · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsYork University
Fundersnot available
KeywordsOrientalismMulticulturalismSociologyGlobalizationContext (archaeology)ExoticismRacismRacializationGender studiesPostcolonialism (international relations)AestheticsAnthropologyRace (biology)Political scienceArtHistoryLiteratureLaw

Abstract

fetched live from OpenAlex

Globalization has prompted a multicultural retheorization of both consumer and market (Fu et al., 2014; Riefler et al., 2012; Kipnis et al., 2019). In short, the Canadian multicultural market consists of international goods which are authentic, domestic goods purporting authenticity (e.g., orientalizing), and multinational, fusion innovations that are authentic-ish (e.g., self-orientalizing; Hui, 2019; Li, 2020; Stephens, 2021). What results is a fetishistic commercialization of multiculturalism, where brands are packaging ethnicity and race to vie for consumer attention. This paper addresses the latter variety — self-orientalist packaging designed for products born out of (formerly) Chinese Canadian enterprises, namely Wong Wing Fried Rice. Developing an analytical and theoretical approach that can support the identification of racialization, racist typologies are situated in graphic design. Themes derived from the analysis include racism, orientalism, self-orientalism, exoticism, cultural appropriation, among others. Findings reveal how self-orientalist packaging and label design is discursively negotiated as both internalized racism and anti-racist resistance, necessitating a more nuanced approach that reflects the sociopolitical context in which products are branded. The adoption of transversalist tenets, an anti-racist modality outlined by the methodological component of this study, presents one possibility.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.032
GPT teacher head0.352
Teacher spread0.320 · 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 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

Citations0
Published2023
Admission routes2
Has abstractyes

Explore more

Same venuePEOPLE International Journal of Social SciencesSame topicMigration, Ethnicity, and EconomyFrench-language works237,207