Vegan Food Deserts: Between Inaccessibility, Identity, and Gentrification
Bibliographic record
Abstract
Veganism as lifestyle and dietary practice, has accelerated in recent years as individuals are drawn towards its associations to environmental conscientiousness, health, and ethical food consumption. Simultaneously, veganism has also incurred a rather "paradoxical" narrative of one complicit in creating further barriers of access. Expanding upon traditional conceptions of the food desert, this paper seeks to concretize the notion of a 'vegan food desert', but also go beyond inaccessibility, and addressing the tethers to identity and neoliberal urban restructuring in Toronto. Through a mixed-methods approach that synthesizes the quantitative and qualitative; a framework predicated upon patron Google reviews data served as the foundation for the analyses. The results suggest a suburbanization of vegan food deserts, a retail landscape that caters to the affluent and exacerbates barriers for the visible minority populace, an intersection between the retailers to physical gentrification, and indications of a gentrification language in action, viz., symbolic gentrification.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.020 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".