Undocumented Afghan refugee women’s lived experiences of distress in Iran: A narrative inquiry of social suffering during the COVID-19 pandemic
Bibliographic record
Abstract
Undocumented Afghan refugee women in Iran face a multitude of challenges amidst the pandemic, deeply rooted in socio-political, economic, and cultural factors. This study explores their lived experiences through a social suffering lens, emphasizing the interplay of trauma, displacement, and systemic injustices. Semi-structured interviews informed by narrative inquiry were used. Participants shared that the pandemic has revived memories of war and displacement, as uncertainties surrounding their legal status and precarious living conditions increased. Gender-based violence, economic exclusion, and heightened emotional distress followed. Despite adversity, narratives also highlight resilience and resistance strategies. This research underscores the urgent need for holistic approaches to address systemic injustices and inform targeted interventions for this vulnerable population. Moving forward, incorporating intersectional and systemic perspectives is essential for fostering a more equitable and inclusive future for all.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".