Seeking security: Gay labour migration and uneven landscapes of work
Bibliographic record
Abstract
Previous research has understood the migrations of gay men and other queer people through a lens of identity development, whereby relocation is driven by processes of coming out and consuming particular urban amenities. Meanwhile, labour geographers have largely overlooked sexuality, seeking to understand work-related migration in relation to gender, race, citizenship and the collective organization of workers. Drawing on the migration narratives of gay-identified men living in Ottawa, Canada, and Washington, DC, USA, we argue that the norms governing gender and sexuality within various workplaces, economic sectors and locales continuously influence migration related to work and inextricably linked processes of social reproduction. In particular, we explain how the affective needs of gay workers both deflect them from and attract them to particular locales and workplaces. In their migration destinations, gay workers tend to also transform the norms of social reproduction within workplaces and sectors. While gay workers may use migration to successfully negotiate the uneven landscapes of inclusion and visibility in North America, their agency is also constrained by the ongoing of regulation of sexuality in both workplaces and social and community environments.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.016 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".