Discipline and resistance in southwestern Ontario: Securitization of migrant workers and their acts of defiance
Bibliographic record
Abstract
Abstract COVID‐19 has had deep impacts on a wide range of vulnerable communities in Canada. Migrant agricultural workers in the southwestern region of Ontario were particularly impacted. Fearing the threat of the ‘racialized foreign other’, the Canadian state produced myriad securitization responses with heightened surveillance. This paper will examine both state and non‐state forms of securitization and the response from both workers and activists such as the advocacy group Justicia for Migrant Workers (J4MW). While there has been ample discussion of how vulnerable migrant agricultural workers were affected during the pandemic, there has been less attention paid to how state policies have heightened and targeted specific groups such as migrant agricultural workers through modes of securitization. Central to this was to ensure that labour needs would be met to ensure the viability of Canada's multi‐billion agricultural industry. This paper shows how securitization and control were vital to ensure no disruptions to production levels and Canada's role as a leading agricultural export producer.
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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".