Acts of Citizenship in Time and Space among Agricultural Migrant Workers in Quebec during the COVID-19 Pandemic
Bibliographic record
Abstract
Migrant farm workers recruited under Canada’s temporary employment programs work in difficult environments, under poor working conditions, and live in unsafe housing in remote rural communities. Fearful of repatriation or replacement, many accept their working and living conditions as part of a necessary sacrifice to improve their living conditions and those of their families in the countries of origin. At the same time, some migrant farm workers assert their agency by escaping from farms, subverting regulations, or challenging various forms of discipline used to control their bodies and activities. Following Isin and Nielsen (2008), we refer to these actions as “acts of citizenship.” Drawing on research conducted among migrant farm workers during the COVID-19 pandemic in the province of Quebec, Canada, we situate these acts, particularly the tendency to escape from abusive and exploitative working relationships, in a particular space and time shaped by the COVID-19 pandemic. More specifically, we demonstrate the link between these acts and certain conditions and opportunities that arose at that time, such as increased support for migrant farmworkers by a non-governmental organization and the facilitation of movement of migrant farmworkers across the Canada-U.S.-border by the “migration industry.”
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| 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".