Home Economics: Nationalism and the Making of 'Migrant Workers' in Canada
Bibliographic record
Abstract
A massive shift has taken place in Canadian immigration policy since the 1970s: the majority of migrants no longer enter as permanent residents but as temporary migrant workers. In Home Economics, Nandita Sharma shows how Canadian policies on citizenship and immigration contribute to the entrenchment of a system of apartheid where those categorized as ‘migrant workers’ live, work, pay taxes and sometimes die in Canada but are subordinated to a legal regime that renders them as perennial outsiders to nationalized Canadian society.In calling for a ‘no borders’ policy in Canada, Sharma argues that it is the acceptance of nationalist formulations of ‘home’ informed by racialized and gendered relations that contribute to the neo-liberal restructuring of the labour market in Canada. She exposes the ideological character of Canadian border control policies which, rather than preventing people from getting in, actually work to restrict their rights once within Canada. Home Economics is an urgent and much-needed reminder that in today’s world of growing displacement and unprecedented levels of international migration, society must pay careful attention to how nationalist ideologies construct ‘homelands’ that essentially leave the vast majority of the world’s migrant peoples homeless
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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 | 0.003 |
| Science and technology studies | 0.024 | 0.018 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| 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".