Remapping disclosure: gay men's segmented journeys of moving out and coming out
Bibliographic record
Abstract
Drawing on recent work that examines the contingent, personal nature of queer migration, this paper provides empirical support for recent claims that coming-out journeys are more complex than the linear, often rural-to-urban typologies that have framed them during the past two decades. Since coming-out journeys are rarely elaborated beyond a conceptual level, overly teleological understandings involving homophobic, rural places, inclusive urban homelands, and one-time, linear ‘flights’ and ‘escapes’ persist. Employing the migration narratives of 48 self-identified gay men who settled in Ottawa, Ontario, Canada, and Washington, DC, USA, this paper challenges the linearity and finality of coming-out migration by highlighting particular segments of the journey. These include short-term trips to scout the gay life potentials of places, migrations that result in a degree of re-entry into ‘the closet,’ relocations that allow men to test or try on different places and identities, and moves (or imminent moves) that ‘trigger’—rather than stem from—a coming-out process. Taken together, these segments suggest that coming-out journeys are ongoing, relational, and often discontinuous journeys influenced by both queer individuals' intersectional subjectivities (e.g., age, race, and class) and the social contexts of the places they encounter.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| 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".