"In Its Own Image" : Fashioning the Canadian Multicultural Mirage in Food Production, Consumption, and Equality
Bibliographic record
Abstract
With bucolic imaginings, it is commonplace to lament the social and physical distance that separates us from the production of our food. In a dystopic distanciation, food becomes a static product--commodified, fetishized, and objectified--while our relationship to it, increasingly antagonistic. Indeed, food provides a unique aperture into the 'malaises of modernity' (Taylor 1991) when 'simple' questions in fact reveal complex dynamics, processes, and symptoms covering a range of questions: From what is our food made? From where? And by whom? In highlighting the dialectic of the selective of producers, the unrestricted mobility of commodities and capital, and the immobility of land, this paper draws linkages between food, labour and migration through an analysis of their ordering principles that affront the 'privilege' of Canadian citizenship, the rights it confers, and the responsibilities it demands. For the study of immigration and settlement in Canada or more globally, Canada's active role in shaping the life conditions of the migrants it receives, these lines of inquiry cannot be ignored.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.026 | 0.026 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".