At Home in Montreal’s Quartier des Spectacles Festival Neighborhood
Bibliographic record
Abstract
Urban festivals have traditionally been considered incompatible with residential areas because of their contrasting sonic characters, where the sounds of festivals are treated as a nuisance for residents. However, the neighborhood dedicated to housing festivals in downtown Montreal is also the home of diverse groups of residents and workers. Based on a diary and interview study with residents of the Quartier des spectacles festival neighborhood, and building upon research on touristification, festivals as third places, and soundscape, we explored what it meant to be at home in a festival neighborhood, focusing on the sonic experiences of locals. Findings provided a more nuanced portrayal of everyday life in a dense, lively urban environment transformed through touristification. Residents do not consider the sounds of festivals as a primary source of annoyance; on the contrary, these sounds inspire them to engage with their neighborhood, suggesting a more porous living experience between indoor and outdoor spaces. Drawing on the characterization of other imagined residents by our participants, we conclude by introducing the idea of soundscape personas as a practical method in participatory decision-making for the future of the neighborhood. keywords: Quartier des spectacles, festivals, touristification, locals, festivalgoers, residents, home, public festival places, audience, soundscape, interviews, diaries, soundscape persona
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".