Living an uncertain future: An ethnography of displacement, health, psychosocial well-being and the search for durable solutions among Iraqi refugees in Egypt
Bibliographic record
Abstract
This dissertation examines the effects of prolonged urban displacement on the self-identified health and psycho-social well-being of Iraqi refugees in Egypt.In addition, this study considers the ways in which refugees seek to mitigate the effects of displacement through interactions with institutions and policies.Within this, I focus on the process of seeking third-country resettlement and the implications and effects of this process for psycho-social well-being.Using a mixed-methods approach, this dissertation draws on field research with Iraqi refugees that includes participant observation, personcentered interviews with refugees (n=110), interviews with service providers and archival research.This study has three main aims: (1) to take a person-centered view of the refugee resettlement process and foreground health and psycho-social well-being in that inquiry; (2) to look at ways in which people attempt to manage states of insecurity; uncertainty and liminality and implications for their health; and (3) to document the situation of Iraqi refugees in Egypt -who have been almost ignored in the discussion of Iraqi forced migration in the region.A key finding of this dissertation is the
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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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".