Testimonies of LGBTIQ refugees as cartographies of political, sexual and emotional borders
Bibliographic record
Abstract
To be granted status, refugee claimants have to testify at the Immigration and Refugee Board of Canada (IRB). This liminal space is charged with both the promise of liberation and the threat of deportation. Adding to the challenge are the governmental measures that constrain the right to asylum. This paper suggests answers to the question: What language and other discursive features do LGBTIQ claimants have to use to be recognized as refugees? This ethnography is based on fieldwork conducted in Toronto and Vancouver. I will present two vignettes of claimants I accompanied to their hearings. Contrary to heterosexuals, queer asylum seekers have to prove their sexual orientation and/or their gender identity. Truth about their sexuality and persecution is evaluated through the lens of legal technologies, and stereotypes are still common. However, extralegal forms of communication also come into play. New avenues for justice are being fostered by grassroots organizations.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.017 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".