Bibliographic record
Abstract
Abstract Worldwide, growing numbers of refugees are pushed from their homes. At the same time, fewer and fewer are able to access so-called “durable solutions” to their displacement. This has prompted a flurry of efforts to repair the foundering refugee regime. Many such efforts attempt, implicitly or explicitly, to resolve tensions between legal principles, moral duties, and national interests surrounding refugees. As part of a roundtable on “Balancing Legal Norms, Moral Values, and National Interests,” this essay questions the drive toward oversimplification that has characterized these debates, recognizing that some such tensions are “baked into” the problem of refugeehood. While debates have typically focused on the obligation to admit refugees, and on “responsibility sharing,” I advance the conversation by exploring how law, morality, and national interests are entangled in efforts to support durable solutions for refugees, focusing on voluntary repatriation. What does recognition of the intrinsic and in some senses irreconcilable tensions in the refugee regime mean for efforts to support solutions? I argue that advancing durable solutions, however imperfect, for refugees does not mean definitively overcoming these tensions, but rather navigating them to identify context-specific opportunities to reposition refugees as full and equal citizens as a critical step toward reducing their precarity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.018 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.069 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.007 | 0.012 |
| 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".