“A Human Face”? The Social Movement for Migrant Farm Workers’ Rights in Canada during COVID-19
Bibliographic record
Abstract
With this paper, I explore the recent struggles of migrant farmworkers in Canada in the context of the novel coronavirus (COVID-19) pandemic. I investigate how media depictions and social-network- platform-based migrant-rights activism are framed and deployed to push for increased health and workplace protections and for full immigration status for migrant farmworkers. My analysis is grounded Sareeta Amrute's (2019) work in her article "Of Techno-ethics and Techno-affects”, in which she considers digital labour through the lens of affect and feminist theories of attunement to propose new ways of approaching ethical dilemmas between people and the technologies they create and use. I argue that this digital social justice movement — surrounding the struggles of migrant farmworkers during COVID-19 — reflects the complexities of migrant bodies and the tension between visibility, invisibility, and obfuscation in service of status and safety. I question whether those two things (being ‘seen’ and being safe) are at odds in this context.
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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 | 0.002 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".