Disposable Qualifications, Disposable Lives: Examining the Labour Market Experiences of Foreign-Educated Racialized Immigrant Women
Bibliographic record
Abstract
This qualitative research study examines how the Labour Market Integration (LMI) site constitutes a site of ongoing colonial violence and spirit injury, where race plays a central role in legitimizing the politics of credential recognition, in which Foreign Educated Racialized Immigrant Women (FERIW) are evicted from the category “qualified” in Canada. My analysis draws upon concepts of racial capitalism and structural violence to locate the acts of eviction that FERIW are subjected to within the LMI space in Canada and the consequences and impacts of this eviction. I argue that racialized immigration on the move to Canada represents the human face of Canada’s ongoing nation-building and economic policy agenda. The LMI space reinforces and reproduces the colonial racial hierarchical order in Canada. Based on qualitative interviews with 12 FERIW, I explore how within the LMI space, racialized immigrant women are stripped of their foreign credentials, discursively framed as unqualified and deficient, and repurposed as a source of cheap labour within the political economy. Delegitimization carries severe material and socio-economic consequences. The intersectionality of race, ethnicity, gender, class, and immigrant status results in FERIW becoming “ghettoized” into low-paying, precarious, low-end jobs, and, for many of these women, low income and poverty. This work represents a decolonial work articulated through anti-colonial and feminist anti-racist theory, to present a nuanced historical account of the experiences of gendered racialized immigrant labour within global and local structures that look very similar to the old structures of colonialism.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.025 | 0.017 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| 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".