Pushing for Equity, Pulling at Heartstrings: Perinatal Care Access for Uninsured Migrants
Bibliographic record
Abstract
Despite widely accepted clinical care guidelines, uninsured pregnant migrants in Canada face health inequalities and there are ethical implications of denying them publicly-funded care. Uninsured migrants face multiple barriers (financial, systemic, and cultural) to their perinatal care access, which can negatively impact their health and psychosocial outcomes, as well as those of their families. Drawing on interviews with 10 uninsured migrant women in Montreal, Canada, we explore the factors that enabled their access to perinatal care. Our findings underline the importance of health professionals' ability to exercise discretion to volunteer their time, reduce their fees, or "go the extra mile" to ensure care. On the part of the pregnant migrants themselves, individual factors such as resourcefulness, patient proficiency, and social location may enable their care access. This individualization of the access to care is both ethically and politically problematic, and we discuss the role of social workers in addressing the needs of this population.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| 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".