Your Passport Doesn’t Work Here: Asylum, Space, and Iranian Queer Heritage
Bibliographic record
Abstract
The OED defines heritage as “that which has been or may be inherited,” implying a linear succession through generations. But what constitutes heritage in the LGBTQ+ community, where marginalization has defined life experiences for centuries? Unlike race, religion, or other ostracizing societal factors, gender identity and sexual orientation are not always passed down to children from their parents. \n\tFor as long as society has marginalized queer individuals, spaces formed around their isolated social existences have acted as classrooms and battlegrounds. In these spaces, queer heritage has passed down through generations as lessons on survival, struggle, and resilience. \n\tIt can be argued that initial locations for queer gathering (bathhouses, cruising grounds, hidden bars, etc.) created places of nurture, but also of segregation – a closeting that can be detrimental to the progression desired by contemporary gay rights movements. In other words, these spaces have acted like Foucauldian heterotopias: at once apart from, and yet mirroring the realities of the societies they belong to. The question of their heritage is similarly paradoxical: at once taking us back to the segregated closet, and yet acting as homes to the queer culture born around oppression and resilience. \n\tThe challenge in defining relationships between queer space, the closet, and queer heritage is heightened in the Iranian LGBTQ+ diaspora. Legal, cultural, and political conditions of recent decades have resulted in a growing number of Iranians seeking asylum in the West on account of their sexual orientations or gender identities. These exiled individuals are now the custodians of a heritage they build on while scattered around the world. How can queer heritage, so reliant on space, be detected in this displaced community? Is this a heritage to aspire to, given its often closeted nature? \n\tThe spaces serving the Iranian LGBTQ+ community in Iran, in transitional countries like Turkey, and in Western destinations like Canada, reflect the life experiences of their users. By looking at case studies of these spaces, Your Passport Doesn’t Work Here challenges the concept of heritage in queer communities, while examining its relationship to space.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.017 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".