‘Gay Enclaves Face Prospect of Being PassÉ': How Assimilation Affects the Spatial Expressions of Sexuality in the United States
Bibliographic record
Abstract
Abstract Journalists, activists and academics alike predict that gay neighborhoods in the United States will disappear, yet many of their claims are unsubstantiated or overly determined by economic factors. This article examines 40 years of media accounts to identify the mechanisms that explain why these urban areas are changing. I begin with the observation that the rate of assimilation of sexual minorities into mainstream society has accelerated in today's so‐called ‘post‐gay' era. Assimilation expands the residential imagination of gays and lesbians beyond the boundaries of a specific neighborhood to the entire city itself. Furthermore, as sexual orientation recedes in centrality in everyday life, residents opine that few care if a person self‐identifies as gay or straight. These two respective mechanisms of expansion and cultural sameness bring existing economic wisdom into dialogue with a cultural and political perspective about how our shifting understandings of sexuality also affect the decisions we make about where to live and socialize.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| 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".