Transnational Activism and Temporary Agricultural Workers in Canada During the COVID-19 Pandemic
Bibliographic record
Abstract
The COVID-19 pandemic had a disproportionate impact on migrant agricultural workers admitted to Canada under temporary visas. Long-standing concerns about migrant workers’ health and safety, inadequate housing, and exposure to employers’ abuse and possible deportation received widespread public and government attention during the pandemic. In this chapter, we examine how Canadian-based civil society organizations (CSOs) responded to the challenges faced by a transnational labor force in the context of COVID-19 and explore various scales of their activism, from local to transnational. We begin by briefly outlining what critical junctures, such as the COVID-19 crisis, mean for migrant activism before proceeding to consider two key narrative frames employed by migrant civil society organizations: “essential worker” and “health injustice.” We seek to draw attention to both the manner in which the pandemic exacerbated existing injustices, but also may have provided new windows of opportunity for activism in defence of workers’ rights.
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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) | 0.001 | 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".