The Problematization of Migrant Maternity: Implications of the “Passport Baby” Narrative in the Canadian Context
Bibliographic record
Abstract
Abstract Within the liberal democracies of the global north, fears associated with migrant maternity are a long-standing part of immigration politics. This article raises concerns about what narratives political and public debates on migrant maternity are mobilizing, who they are targeting, and how these narratives shape the experiences of a wide range of migrants in Canada as they access prenatal and obstetric care. The article uses policy and media analysis to examine how migrant maternity is problematized in Canada through the “passport baby” narrative alongside interview data, which illustrates how this narrative impacts the lives of mothers with a range of migrant trajectories. This article argues that this problematization relies on overgeneralizations that overlook the complexity of migration, continues to be shaped by racial discrimination and stereotypes, and results in increased vulnerability for pregnant migrants within Canada.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".