“No queers out there”? Metronormativity and the queer suburban
Bibliographic record
Abstract
Abstract Despite past projects to “decentre” metronormativity—a societal bias toward queer urban imaginings—in geographical scholarship, attention to suburbia has been limited due, in part, to reliance upon, and reinforcement of, an urban–rural binary that disqualifies the metropolitan periphery. This paper unpacks this binary by reviewing key themes at the intersections of the queer and suburban within the subfields of geographies of sexualities and queer geographies. It begins by outlining the American metronormativities critique and evaluating the claim that the “non‐metropolitan” should be the primary arena for unsettling the queer urban. Four key themes from the Anglo‐American‐Australian literature on the queer suburban are then surveyed: suburbanization processes, suburban relocations, suburban “ways of life,” and suburban home‐making. Having evaluated the current state of the subfield, the paper concludes by pointing to the possibilities of the queer suburban for future urban geography and geographies of LGBTQ+ sexualities scholarship.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.031 |
| Scholarly communication | 0.004 | 0.003 |
| 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".