Recovering the Gay Village: A Comparative Historical Geography of Urban Change and Planning in Toronto and Sydney
Bibliographic record
Abstract
Abstract This chapter argues that the historical geographies of Toronto’s Church and Wellesley Street district and Sydney’s Oxford Street gay villages are important in understanding ongoing contemporary transformations in both locations. LGBT and queer communities as well as mainstream interests argue that these gay villages are in some form of “decline” for various social, political, and economic reasons. Given their similar histories and geographies, our analysis considers how these historical geographies have both enabled and constrained how the respective gay villages respond to these challenges, opening up and closing down particular possibilities for alternative (and relational) geographies. While there are a number of ways to consider these historical geographies, we focus on three factors for analysis: post-World War II planning policies, the emergence of “city of neighborhoods” discourses, and the positioning of gay villages within neoliberal processes of commodification and consumerism. We conclude that these distinctive historical geographies offer a cogent set of understandings by providing suggestive explanations for how Toronto’s and Sydney’s gendered and sexual landscapes are being reorganized in distinctive ways, and offer some wider implications for urban planning and policy.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".