Proliferating borders and precarious queers: migrant justice organising beyond LGBT inclusion
Bibliographic record
Abstract
LGBT refugees have rapidly moved up the agenda of the mainstream LGBT movement in Canada and many states in the global North. Yet, the goal of LGBT refugee rights and inclusion in the nation has emerged at a conjuncture in which many states are systematically restricting spaces of asylum and mobility, introducing deeper precarity, surveillance, detention, and border violence in migrant lives. With proliferating borders, the growth of 'irregular' crossings and 'illegalised' people, what strategies might challenge state violence, controls on mobility, and the migrant/refugee binary? Drawing on recent literature on migrant precarity and non-citizenship in Canada, this essay reflects on migrant justice organising, including the self-organising of failed claimants and migrants, in the context of Canadian cities. It concludes with a call for a no border politics that can re-orient a queer politics of migration.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.046 | 0.092 |
| Scholarly communication | 0.018 | 0.008 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".