Redistributing More Than the LGBTQ2S Acronym? Planning Beyond Recognition and Rainbows on Vancouver’s Periphery
Bibliographic record
Abstract
Just urban planning recognizes sociocultural differences and addresses inequality by implementing redistributive mechanisms that move beyond urban neoliberal practices of aestheticization and festivalization. Such planning practices are only beginning to address sexual and gender minority recognition in central urban areas while metronormative assumptions about their geographies absolve suburban municipalities of accountability for LGBTQ+ inclusions. In suburban municipalities, therefore, an LGBTQ+ politics of recognition rarely synchronizes with a politics of redistribution to foster sustained and transformative responses across the professional and managerial boundaries between planning and other local government functions. Consequently, a reparative civic “rainbowization” stands in for transformative urban planning, producing only partial and commodifiable inclusions in the landscape that become absolution for inaction on more evidence-based goals and measurable targets. Drawing on a database of public-facing communication records referencing LGBTQ2S themes for three adjacent peripheral municipalities in the Vancouver city-region (Burnaby, New Westminster, and Surrey), this article analyses the tension between contemporary planning’s civic actions of LGBTQ+ recognition and outcomes of redistribution. In suburban municipalities, a rainbow-washing politics of recognition sidelines transformative planning and policy resulting in little more than the distribution of the LGBTQ2S acronym across municipal documents.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 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".