Sexual and reproductive health and rights of refugee and migrant women: gynecologists’ and obstetricians’ responsibilities
Bibliographic record
Abstract
Ensuring universal access to sexual and reproductive healthcare services is Target 3.7 of the United Nations Sustainable Development Goals (SDG). Refugee and migrant women and children are at particular risk of being forgotten in the global momentum to achieve this target. In this article we discuss the violations of sexual and reproductive health and rights (SRHR) of particular relevance to the refugee and migrant reality. We give context-specific examples of denial of health services to vulnerable groups; lack of dignity as a barrier to care; the vulnerability of adolescents; child marriage; weaponized rape; gender-based violence; and sexual trafficking. We discuss rights frameworks and models that are being used in response to these situations, as well as what remains to be done. Specifically, we call for obstetricians and gynecologists to act as individual providers and through their FIGO member societies to protect women's health and rights in these exposed settings.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.015 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.007 |
| 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".