RACIALIZED IN JUSTICE: THE LEGAL AND EXTRA-LEGAL STRUGGLES OF MIGRANT AGRICULTURAL WORKERS IN CANADA
Bibliographic record
Abstract
Considerable attention has been directed at the Supreme Court of Canada’s 2011 Fraser decision regarding the constitutional right to freedom of association of agricultural workers in Ontario. While these interventions rightly tend to chastise the Court’s ruling denying meaningful associational rights, a marked indifference exists toward the racialized dimensions of the ruling and of agricultural labour production in Canada more broadly. But an application of the insights of critical race theory, while necessary to addressing the limits of contemporary jurisprudential and scholarly legal analysis, fails to sufficiently confront the particularities of labour exploitation embedded in Canada’s temporary labour migration regime. Striving to deepen the study of racialization, labour and law in Canada, I situate the legal and extra-legal struggles of migrant agricultural workers within an anti-racist class analysis of law attentive to the ways racialization and racism infuse labour migration. The racialized class construction of migrant labour -- a “structural necessity” within agricultural production -- occurs through the imposition of politico-legal impediments organized through global capitalism and the system of national states. The analysis ends by advocating a turn away from prevailing approaches to the study and practice of labour law to a transgressive agenda concerned with openly contesting capitalist exploitation in all forms including racialized legal regulation of migrant agricultural labour.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.067 | 0.018 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".