The (not so) straight story: Queering migration narratives of sexual orientation and gendered identity refugee claimants
Bibliographic record
Abstract
Canadian media coverage of sexual orientation and gendered identity (SOGI) refugees presents a relatively uniform story of these queer newcomers. While LGBT media have identified problems in some Canadian Immigration and Refugee Board (IRB) decisions, the hegemonic narrative remains one of ‘migration to liberation nation’. In this article I argue that this hegemonic narrative is produced in relation to particular socio-cultural and juridical-legal categories which are themselves historically produced in and through the bureaucratic machinery of the state, human rights organizations, and some legal scholarship. The effect of this model narrative is to reinscribe what Ahmed (2010) calls the ‘happy migrant’, that is, someone who espouses national ideals which are couched in terms of empire, the new twist being that sexual diversity is now held aloft as justification of empire’s liberation from abjection. Based on interviews with SOGI refugee claimants in Toronto.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.038 | 0.041 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".