“You’re Just Stuck in a Hole, Really”: Mechanisms of Structural Racism Through Migrant Agricultural Worker Housing in Canada
Bibliographic record
Abstract
Worldwide, migrant agricultural workers face poor housing conditions and related health challenges. A growing body of research has documented the substandard housing often occupied by this largely racialized population. Yet limited health research has examined mechanisms of structural racism that determine this group's poor housing and health. Drawing on interviews with 151 migrant farmworkers in Ontario and British Columbia, Canada, we documented the housing experiences faced by migrant agricultural workers and examined the role of structural racism in determining housing and health inequities. Our analysis identified four overlapping mechanisms by which migrants' housing and health were determined by structural racism: (1) scarcity, (2) segregation, (3) sacrifice, and (4) stagnation. These mechanisms both reinforced and normalized housing hardships, making it difficult for migrants to escape unsafe or inadequate housing. Our findings point to the need for immediate action to improve housing conditions for this population and to interrogate the racist design that keeps migrant workers at the margins of society.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.009 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".