Foodies of Color: Authenticity and Exoticism in Omnivorous Food Culture
Bibliographic record
Abstract
Omnivorous cultural theory highlights the persistence of inequalities within gourmet food culture despite its increasing democratization, arguing that foods remain symbols of distinction through their framing as ‘authentic’ and ‘exotic’. Where these two frames have been shown to encompass problematic racial connotations, questions arise over how racial inequalities manifest in foodie discourse. Drawing from interviews with foodies of color living in Toronto, Canada, this article examines how these inequalities are reproduced, adjusted and resisted by people of color. It asks: how do foodies of color interpret and deploy dominant foodie frames of authenticity and exoticism? Analysis reveals each frame’s potential both to encourage cross-cultural understanding and essentialize or exacerbate ethno-cultural difference. Participants’ ambivalent relationship with foodie discourse (i.e. deploying it alongside critiquing it) highlights how cultural capital works alongside ethno-racial inequalities, and reveals the racial tensions remaining within foodies’ attempts to reconcile democracy and distinction.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.029 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".