The Making of the Iranian Refugee: From Revolution to Asylum
Bibliographic record
Abstract
This paper follows the narratives and trajectories of Iranian asylum-seekers in Turkey as they undergo the process of applying for refugee status through the UNHCR. Ethnographic work conducted in three satellite cities, Yalova, Eskişehir, and Denizli, reveals the dynamic narratives of Iranian asylum-seekers as they grapple with their past and attempt to forge new identities while they navigate their way through difficult institutional frameworks. The findings of this study offer an overview of the different groupings of asylum-seekers and their narratives, including Azaris, political activists, members of the LGBT community, and members of religious groups including, Christians and Baha’i. Furthermore, this paper argues that the oppressive frameworks imposed on these individuals as they apply for asylum-seeker and subsequently refugee status create an environment that fosters the form of dynamism needed to fit within the parameters of the 1951 Refugee Convention’s criteria. Engaging the application of Ian Hacking’s notion of dynamic nominalism to the refugee category with the narratives of Iranians in Turkey offers insights into the performance of the refugee identity and how this process and the state of limbo experienced in Turkey impacts upon greater collective interpretations of the past, the homeland, the nation, ethnic identity, as well as present and future aspirations. Finally, parallels are drawn to narratives found in diasporic literary texts that further demonstrate the impacts of shifting identity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".