Troubling the Fields: Choice, Consent, and Coercion of Canada's Seasonal Agricultural Workers
Bibliographic record
Abstract
Abstract This article brings a new, theoretically minded approach to weighing the relative utilities and harms of Canada's Seasonal Agricultural Worker Program ( SAWP ) without dismissing the agency of SAWP enrollees or arriving at an abolitionist argument to end Temporary Migrant Worker ( TMW ) programmes in Canada. Building on the anti‐trafficking debate within feminist migration studies, we evaluate the availability and exercise of consent, choice, and coercion among SAWP workers. We draw on extensive documentation by scholars across disciplines to contextualize the SAWP within a socio‐economic history that engendered and continues to legitimize the “success” of the programme in both Mexico (the largest sending state) and Ontario (the largest provincial recipient of workers). Our analysis suggests that, while grievous, the SAWP 's structural injustice ought not to preclude individuals from migrating and earning wages. The article concludes with recommendations to create a fairer avenue for Mexican workers into, through, and out of the SAWP .
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".