Synthesizing Cultural Competency and Reproductive Justice: A Case Study of Afghan, Refugee Mothers
Bibliographic record
Abstract
Cultural competency and reproductive justice are two popular frameworks by which medical anthropologists, public health experts, and social justice advocates understand minority women’s health; however, both frameworks present shortcomings which limit holistic visualizations of wellness. I synthesize these frameworks in a case study of Afghan refugee mothers in North Carolina. My exploration of the composite framework uncovers significant factors affecting Afghan refugee mother’s reproductive health, including the persisting effects of gender inequality in Afghanistan. History and health merge as I explore the lasting effects of the Taliban’s gender apartheid on the reproductive health of Afghan women living in America. In Afghanistan, gender apartheid inhibits women from mastering the same abilities as men, namely driving and speaking English. In America, these different abilities precipitate deficits in social and mental health of Afghan women as compared to their husbands. Infrastructure in America reifies these deficits and further hinders the women’s agency. Mapping powerlessness from Afghanistan to America, this framework illuminates the architecture of power that extends across the two countries.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.028 | 0.010 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 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".