Bibliographic record
Abstract
Trans and gender nonconforming (TGNC) people who make refugee claims in Canada negotiate a complex nexus of identity, belonging, and citizenship. Drawing on insights from TGNC refugees, immigration lawyers, and frontline workers, in this paper we examine the ways the state controls the trans body through the refugee claims process and in the process of integration into life in Canada, while also highlighting trans refugee methods of survival and resistance. What emerges is an understanding of the ways that refugees navigate the tension between gender, sexuality, and homecoming as both intimately felt and geopolitically managed. We convey TGNC refugee narratives to demonstrate how they both confirm and expand upon the existing literature on Canadian LGBTQ+ refugees. TGNC refugees' experiences at the Immigration and Refugee Board confirm insights from existing LGBTQ+ refugee studies. However, TGNC refugees' day‐to‐day lives differ significantly from LGB refugee lives as recounted in the literature. In TGNC refugees' attempts to access gender‐affirming documentation, healthcare, housing, and income, they confront distinct systems of transgender exceptionalism, border imperialism, and racial and heteropatriarchal capitalism that limit their access to basic necessities and impact how they build home both conceptually and materially.
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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 | 0.036 | 0.009 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".