The Rainbow Connection: A Time-Series Study of Rainbow Flag Display Across Nine Toronto Neighborhoods
Bibliographic record
Abstract
Abstract Recently, the display and use of the rainbow flag in historically defined gay neighborhoods has grown even as gay residents and businesses have been driven away by gentrification, rising real-estate costs, and cultural homogenization. At the same time, prevelence and use of the rainbow flag and the rainbow motif has increased in areas not usually considered part of recognized gay neighborhoods. This chapter explores the prevalence and persistence of the display of the rainbow flag and rainbow motif in nine neighborhoods across Toronto, Ontario, Canada. The visual assessment of rainbow flag use across these neighborhoods serves as a potential model for examining the rate of spread of rainbow flags and visual rainbow motif symbols as a means for tracking the movement of the LGBTQ+ community across urban neighborhoods. Initial results suggest potential significance of the prevalence and persistence of the rainbow flag and the rainbow motif. These include; (1) a possible diaspora of LGBTQ+ residents from traditionally defined gay neighborhoods to newly emerging gay or LGBTQ-friendly neighborhoods, (2) a newfound inclusivity or pride among residents of other neighborhoods, and (3) “rainbow washing” due to overuse of the rainbow motif by non-LGBTQ businesses and organizations connected with pride celebrations. While overuse of the rainbow flag may diminish historically coded meaning of the rainbow, that well-intentioned use of the rainbow flag is a positive and welcoming indicator for LGBTQ+ individuals and it may lead to the emergence of additional LGBTQ-friendly enclaves that, over time, could potentially emerge as new gay neighborhoods.
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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 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".