Reimagining Asylum: Religious Narratives and the Moral Obligation to the Asylum Seeker
Bibliographic record
Abstract
The narrative that grounds the asylum policy of the United States portrays asylum seekers as passive objects of external forces. This narrative emerges from the complex interplay of exceptionality and victimization that characterizes the legal status and popular perception of the refugee. It is then read back onto the asylum seeker through a supereroga- tory asylum policy that is unable to recognize the moral demand made by the asylum seeker. The project this essay is drawn from seeks to challenge the policy of asylum as charity by interrogating alternative narratives grounded in the Hebrew Bible story of the Exodus and the Qu’ranic story of the Hijra. In these narratives, flight from oppression is portrayed as an act of moral agency, and the asylum seeker’s capacity as Other to make a moral demand on the Self emerges. Thus, I argue that an asylum policy informed by these alternative narratives needs must question its supererogatory assumptions.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.051 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".