Political Capital, the COVID-19 Pandemic, and Pathways to Permanent Residency for Low-Skilled Migrant Workers: A Bourdieusian Perspective
Bibliographic record
Abstract
The COVID-19 pandemic has had a swift and dramatic impact on every aspect of Canadian life. This paper explores how the socio-economic effects of the COVID-19 pandemic have altered the positionality of low-skilled migrant workers in the Canadian immigration regime and labour market. Using Pierre Bourdieu’s sociological framework and concept of political capital, this paper seeks to explain how low-skilled migrant workers temporarily benefited from the distinction they received as essential workers during the pandemic in the form of new, albeit temporary, pathways to permanent residency. The designation of “essential” provided to low-skilled migrants and the distinction that accompanied it allowed them to experience an increased accumulation of political capital and redistribution of influential power. This paper will examine the Temporary Residency to Permanent Residency Pathway and Guardian Angel Program as examples of the fluctuations in Immigrant, Refugees and Citizenship in Canada’s practices during the pandemic and as temporary public policy responses to the increase in political capital accumulated by low-skilled migrant workers.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.030 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".