Why Governments Prefer Spatially Segregated Settlement Sites for Urban Refugees
Bibliographic record
Abstract
The urbanization of Africa has been recent, rapid and notably disimllar from the pattern of urbanization that occured previously in Europe. Significantly, the urbanization of Africa has occured in the absence of structural transformation. Within this reality, refugees are viewed by African host governments as exacerbating the problems of urbanization and are most often located in government-designated and spatially segregated sites - refugee camps or settlements. Often in defiance of such policies, most refugees with urban backgrounds tend to congregate in urban centres. The case study of Sudan illustrates that even where the stay of certain refugees in urban areas may be formally regularised by governments there are nonetheless identifiable common patterns and problems arising out of and causing the spatial segregation of refugees away from urban centres. It is argued that the underlying reality of urbanization in Africa plus the protracted problems for governments created by urbanisation generally and cross-border ethnic solidarity in the case of many refugee movements in Africa, shape current hostile refugee policies towards urban refugees.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".