Occupational (im)mobility in the global care economy: the case of foreign-trained nurses in the Canadian context
Bibliographic record
Abstract
The twenty-first century has witnessed a number of significant demographic and political shifts that have resulted in a care crisis. Addressing the deficit of care provision has led many nations to actively recruit migrant care labour, often under temporary forms of migration. The emergence of this phenomenon has resulted in a rich field of analysis using the lens of care, including the idea of the Global Care Chain. Revisions to this conceptualization have pushed for its extension beyond domestic workers in the home to include skilled workers in other institutional settings, particularly nurses in hospitals and long-term care settings. Reviewing relevant literature on migrant nurses, this article explores the labour market experiences of internationally educated nurses in Canada. The article reviews research on the barriers facing migrant nurses as they transfer their credentials to the Canadian context. Analysis of this literature suggests that internationally trained nurses experience a form of occupational (im)mobility, paradoxical, ambiguous and contingent processes that exploit global mobility, and results in the stratified incorporation of skilled migrant women into healthcare workplaces.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.046 | 0.017 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".