A Remaining Hope for Durable Solutions: Local Integration of Refugees and Their Hosts in the Case of Uganda
Bibliographic record
Abstract
The protracted nature of conflicts in countries of the global South means that return to home countries for many refugees is increasingly delayed. At the same time, global terrorism and concerns about security have slowed processes of resettlement in countries of the North. Local integration to host communities in countries of first asylum may be a remaining option. This paper explores possibilities for revival of local integration as a durable solution. The authors situate the study within the framework of protracted refugee situations globally and, specifically, within the existing local settlement structure and the Self Reliance Strategy (SRS) in Uganda. Benefits to refugee-hosting communities are analyzed through two case studies: local integration through commerce and through primary education. The paper concludes by exploring ways in which stakeholders, including refugees, UNHCR, and donor governments can work together to promote shared and simultaneous development in refugee and national communities, specifically in conceptualizing the durable solution of local integration within the context of a national framework for development.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.012 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".