States of <i>faḍl</i> or stating <i>faḍl</i>: On the value of indebtedness for Iraqi exiles in Jordan
Bibliographic record
Abstract
ABSTRACT A condition of excess characterizes Iraqi exiles' everyday life in Jordan: excesses of waiting and anticipation, bureaucratic work, and aspirations for future benevolent governance. To grapple with this excess, they have had to develop strategies that render their lives in exile more manageable. Despite being hosted as “guests” of the Hashemite monarchy—an ambitious status evoking notions of pan‐Arab solidarity and Arab traditions of hospitality—this status does not guarantee or grant them access to substantive citizenship rights. In light of this, Iraqi exiles who arrived in Jordan following the US‐led invasion of Iraq in 2003 have often found themselves dependent on potentially injurious ways to navigate their presence. One of these strategies are relations and practices of faḍl , a form of exchange governed by a foreclosure of reciprocity and necessity of public recognition. Based on ethnographic fieldwork among what I refer to as the Iraqi exilic milieu in Jordan, this article examines how, in the absence and denial of expected forms of exchange, the circulation of stately faḍl and its cooptation by ordinary people articulate new notions and practices of valuable yet nevertheless wounding citizenship.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.016 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".