Marriage in displacement: Gendered (self)resettlement strategies of Syrian women in Egypt
Bibliographic record
Abstract
Drawing on fieldwork data among Syrian refugee women marrying Egyptian men amid forced migration, I explore how displacement reshapes the meaning and purpose of marriage. Many such unions, often customary or polygamous, provoke comparisons to forced marriage and gender-based violence. Bypassing the reductive exploitation and static narratives, I ask: How does displacement alter refugee women's perceptions of marriage's purpose? And can marriage serve as a strategic tool for (self)resettlement? This investigation urges us to reevaluate the existing range of resettlement options and criteria, offering fresh perspectives on marital strategies post-displacement. Rather, similar marriages often stem from both affective and practical considerations, challenging colonial dichotomies (e.g., agent/victim) and reinstating the role of factors such as social capital in the trajectories of the uprooted. This study expands understanding of gendered and Othered refugee experiences, highlighting marriage's transformative role in forced displacement and resettlement. It contributes to ongoing discussions on marriage, displacement, and resettlement, urging a nuanced approach that acknowledges the complexities of refugee agency and adaptation.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".