Bibliographic record
Abstract
The chapter presents the results of a Research-Creation case study conducted between 2021 and 2022 in Montreal’s Quartier des Spectacles (QDS), focusing on a sound-based Tactical Urbanism intervention. The study examines how the neighborhood’s “atmosphere of spectacle,” shaped by entertainment strategies like concerts and music broadcasts, affects the sonic experience of public space users, posing challenges to livability and inclusiveness—particularly for marginalized groups such as people experiencing homelessness. The chapter details the research process, beginning with ethnographic fieldwork and audio recordings to analyze QDS’s sonic environment during events and quieter periods. It then moves to participatory workshops held with local residents, workers, and artists, who were able to reflect on their sonic experiences and explore ways to balance attractiveness and inclusiveness, focusing on the underused Place de la Paix. Emerging from these workshops, the research culminated in the design and implementation of a sound installation that transformed traffic noise and local recordings into a meditative, engaging atmosphere to foster cohabitation among diverse users. The chapter concludes with reflections on the dual role of researcher and artist, emphasizing the situated and participatory nature of Research-Creation and its potential to inform inclusive urban planning through sensory interventions.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.036 | 0.001 |
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".