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Record W4401759824 · doi:10.15273/jue.v14i2.12256

Synthesizing Cultural Competency and Reproductive Justice: A Case Study of Afghan, Refugee Mothers

2024· article· en· W4401759824 on OpenAlexvenueno aff
Roxanna Ray

Bibliographic record

VenueJournal for Undergraduate Ethnography · 2024
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Conflict Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAfghanRefugeeGender studiesAgency (philosophy)Reproductive healthSociologyPolitical scienceCriminologyPopulationDemographySocial scienceLaw

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.142
GPT teacher head0.490
Teacher spread0.347 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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