Interrogating Racialized Global Labour Supply: An Exploration of the Racial/National Replaceme of Foreign Agricultural Workers in Canada*
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Dans cet article, on analyse le remplacement des travailleurs antillais par des Mexicains dans le Programme des travailleurs agricoles saisonniers du gouvernement du Canada, en mettant l'accent sur le rôle des interprétations racialisées dans la mise en œuvre de ce genre de programme. On y soutient qu'un mécanisme de racialisation étaie les discours des agriculteurs ontariens à la recherche de la main‐d œuvre la plus laborieuse, fiable et flexible. Parfois même, les discours des agriculteurs affichent un racisme grossier, dépeignant les honimes antillais comme des Noirs hypersexués qui présentent un risque pour les Canadiennes, alors que, d'autres fois, ces préjugés raciaux sont formulées en termes de prédispositions physiques ou psychologiques à travailler à certaines récoltes. This paper analyses the replacement of Caribbean workers by Mexicans in Canada's Seasonal Agricultural Workers Program, highlighting the role of racialized understandings in implementing foreign worker programs. It argues that a process of racialization underpins the discourses employed by Ontario growers in search of the most hardworking, reliable and flexible labour force. Sometimes grower discourses manifest a crude racism, casting Caribbean men as hypersexualized Black subjects who pose a risk to Canadian women, while other times these racialized assumptions are framed in terms of physical and/or psychic dispositions to the production of certain crops.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 it