Re-centering labour in local food: local washing and the growing reliance on permanently temporary migrant farmworkers in Nova Scotia
Bibliographic record
Abstract
This article explores the labour behind local food in the Canadian Atlantic province of Nova Scotia. Based on surveys and interviews with farmers, migrant farmworkers, and farmers' market consumers in the province, we suggest that the celebration of local food by government and industry is a form of "local washing." Local washing hides key aspects of the social relations of production: in this case, it hides insufficient financial and policy supports for Nova Scotian farms and the increased reliance on migrant farmworkers via the Seasonal Agricultural Worker Program and the Temporary Foreign Worker Program. Our research found that a growing reliance on migrant farmworkers was not just the case for larger, industrial farms, but also for smaller farms participating in local and alternative food initiatives, like farmers' markets and fresh produce subscription boxes. Additionally, our surveys show that while farmers' market shoppers expressed an interest in supporting local foods, they reported knowing little about farm workers or working conditions. Our paper contributes to the literature on local and alternative food initiatives by connecting the relations of production to consumption. Rather than focusing solely on the nature of the relationships between farmers and consumers and the values embodied in direct agricultural markets, this research explores the central role of permanently temporary migrant workers in local agriculture.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".