Experiences of gender-based violence among Somali refugee women: a socio-ecological model approach
Bibliographic record
Abstract
Gender-based violence (GBV) is an all-encompassing term that speaks to acts or threats that may lead to physical, sexual or emotional harm to an individual based on their gender. This paper provides a scoping review of research on gender-based violence among Somali refugee women in different parts of the world. Using the socio-ecological model as a framework, we reviewed 30 empirical studies focusing on some form of GBV among Somali refugee women. We identified societal, community and individual factors contributing to the experience of GBV. We also discuss how these factors influence women's willingness to access care, especially healthcare and social services. The review reveals that oftentimes, institutions that work closely with this population have a limited understanding of how closely culture affects the willingness and ability to seek help about GBV. Based on our analysis, we suggest ways in which social institutions and healthcare providers can provide culturally-safe support to Somali refugee women who have experienced some form of GBV.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".