Mobilizing Home for Long-Term Displacement: A Critical Reflection on the Durable Solutions
Bibliographic record
Abstract
With long term displacement becoming the ‘new normal’, the three ‘durable solutions’ of local integration, resettlement, and return are increasingly unsuitable for offering social, economic and cultural means for refugees to rebuild their lives and livelihoods. This article retreads some common observations and critiques of the durable solutions, while attempting to find a new vocabulary to help address the conundrum of a refugee protection model that tries to integrate rights and needs. There have been other attempts to revise the durable solutions, introduce new solutions—often acknowledging refugee mobility, or revert to informality as an alternative. However, such attempts have not sufficiently taken into account the extent of what refugees do. The consequences are an ‘integration lite’ where people may be able to survive, but their refugee status is not ended, nor is their refugee predicament closer to being addressed. The article suggests a new framework—constellations of home—that can be a significant bridging tool for the gap between rights and needs and that incorporates the static and ahistorical notion of the durable solutions as well as the mobile strategies of refugees in long-term displacement.
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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 | 0.034 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.032 | 0.111 |
| Scholarly communication | 0.018 | 0.036 |
| Open science | 0.005 | 0.022 |
| Research integrity | 0.020 | 0.031 |
| Insufficient payload (model declined to judge) | 0.004 | 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".