Bibliographic record
Abstract
Muslim charities and community organizations have assumed a massive role in refugee support since the Syrian revolution: in Jordan, Lebanon, Turkey, and well beyond, they deliver food aid and house orphans, offer remedial education programs, and organize summer camps. But Islam is more than just a new resource for humanitarian projects. Based on fieldwork conducted in Jordan and Canada, The Dread Heights follows how refugees, relief workers, and religious scholars wonder what fate has brought them there, how exile affects the soul, and how their new contexts should be traversed. Such existential questions are not exceptional to humanitarian sites: they spring from the everyday work of inhabiting a tradition. This book details how Islam guides those surviving brutal sieges and mass displacement. In pursuing an ethnography of religious imaginations and theological argumentation, it demonstrates what is at stake in migration and refuge outside secular frames of conception. It endeavors to understand the devastation of the Syrian war through the Islamic tradition. This ethnography pursues an awful lucidity across the search for refuge, the cleaving of community, the trials of creational existence, and the ultimately enigmatic divine decree. In the shadow of the war, beyond humanitarian order, Islam offers an orientation to the devastation of the present.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.060 | 0.012 |
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".