“We just know who we are”: lesbian refugees in the Canadian immigration system
Bibliographic record
Abstract
This paper explores the experiences of lesbian refugee claimants in the Canadian immigration system. Lesbian women attempting to escape violence and persecution face specific challenges in the asylum seeking process, from navigating the patchwork settlement sector to being asked to demonstrate their sexual orientation to a representative of the Canadian state. Through the use of in-depth interview with lesbian refugees, this paper documents lesbians’ experiences with the refugee claim process from landing to post-hearing. In it, the author argues that while lesbian refugee claimants experience marginalization based on the intersection of several marginalized identities, they assert self-determination and resistance throughout the process. Claimants must interact with discourses of homonationalism, homonormativity, and authenticity, which serve as gatekeeping mechanisms for the settler state.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.082 | 0.017 |
| Scholarly communication | 0.019 | 0.007 |
| Open science | 0.004 | 0.015 |
| Research integrity | 0.005 | 0.011 |
| 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".