A food policy for Canada, but not just for Canadians: Reaping justice for migrant farm workers
Bibliographic record
Abstract
In this policy commentary, I highlight opportunities to advance equity and dignity for racialized migrant workers from less affluent countries who are hired through low-wage agricultural streams of Canada's Temporary Foreign Worker Program. Core features of the program such as 'tied' work permits, non-citizenship, and workers' deportability make it risky for migrant farm workers to exercise their rights. I discuss five federal policy interventions to strengthen justice for migrant farm workers in Canada: 1) permanent resident status; 2) equal access to social protections; 3) open work permits; 4) democratic business ownership; and 5) trade policy that respects community self-determination. To realize a food system that enables health, freedom and dignity for all members of our communities, a Food Policy for Canada cannot be for Canadians alone.
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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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.032 | 0.015 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.020 | 0.017 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".