The Political Economy of a Modern Pandemic: Assessing Impacts of COVID-19 on Migrants and Immigrants in Canada
Bibliographic record
Abstract
This paper explores the COVID-19 crisis with a focus on immigration and migration in Canada using a political economy lens. Neoliberalism has played a major role in shaping pandemic impacts and the responses to it. We critically assesses the deep structural inequalities that have caused disproportionate COVID-19 impacts on migrants and immigrants. Migrants and immigrants carry the unequal burden of COVID-19 because of racialization, labour precariousness, and exposure to health risks on job sites and in the poor neighborhoods and over crowded housing in which many live in. Mobility and borders have also been cast as a particular threat during the pandemic even though domestic sources are the main sources of contagion. We examine the use of borders as filtering mechanisms during COVID-19 and the negative impacts this has had on migrant populations. While crises like pandemics pose many dangers they also open up policy windows through which progressive change may be realized. We reflect on these possibilities.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".