Microbuses and Mobile Homemaking in Exile: Sudanese Visiting Strategies in Cairo
Bibliographic record
Abstract
Paying home visits to mark social events and maintain networks is an established cultural pattern in Arab countries. Northern Sudanese displaced in Cairo in the 1990s made significant efforts to continue visiting each other in their temporary homes, despite having to travel long distances to members of their widely scattered networks. The deterioration of the legal and political status of Sudanese living in Egypt during the 1990s contributed to longer-term uncertainty for those who sought safety and security in Cairo. In this article, I argue that this long-term uncertainty constitutes a protracted refugee situation, and that Sudanese visiting practices constituted a mobile homemaking strategy that actively contributed to the negotiation of a complex ethnic identity in their protracted exile. Ranging across space and connecting people through experiences and values of Sudanese “homeyness,” visiting during these fraught years connected individuals and networks into constellations that recreated familiar patterns of homemaking but also encouraged new meanings granted to homeland and belonging. Woven through the more familiar relationship between “home” and “away” were the policy positions about urban refugees taken by the Egyptian government, United Nations High Commission for Refugees, International Organization for Migration, and other humanitarian aid and resettlement agencies, which produced a state-centred view of “home” for Sudanese.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".