Sentenced for the season: Jamaican migrant farmworkers on Okanagan orchards
Bibliographic record
Abstract
Despite perfunctory characterisation of Canada’s Seasonal Agricultural Worker Program (SAWP) as a ‘triple win’, scholars and activists have long admonished its lack of government oversight, disrespect for migrant rights and indentureship of foreign workers. This article contends that the SAWP is predicated upon naturalised, deeply engrained and degrading beliefs that devalue Black lives and labour. Based on twenty months’ ethnographic fieldwork in the Okanagan Valley, British Columbia, Canada, it reveals the extent to which anti-Black racism permeates, organises and frustrates workers’ lives on farms and in local communities. It situates such experiences, which workers characterise as ‘prison life’, in the context of anti-Black immigration policy and the workings of racial capitalism. This ethnography of Caribbean migrants not only adds perspective to scholarship hitherto focused on the experiences of Latino workers, but it also reinforces critical work on anti-Black racism in contemporary Canada.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.019 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".