A sonic perspective for the post-pandemic future of entertainment districts: the case of Montreal’s Quartier des Spectacles
Bibliographic record
Abstract
In 2020, the pandemic impacted the social and economic dynamics of cities around the world. Entertainment districts hosting events, festivals, and other cultural activities were particularly affected, as their loss of attractiveness also impacted their livability. Reflecting on how the experience of the sonic environment contributes to attractiveness and livability in an urban environment, we propose a sonic perspective to investigate the impact of the COVID-19 pandemic in Montreal’s entertainment district – Quartier des Spectacles (QDS). Through semi-structured interviews, we focus on how the sonic experience of QDS’s residents changed throughout 2020, and on how their experiences can provide valuable insight into addressing the district’s future planning and management. Looking at QDS as a case study to orient the post-pandemic trajectories of entertainment districts, we present a number of sound-related governance recommendations aimed at strengthening QDS residents’ involvement in the neighborhood’s cultural, artistic, and political life and its decision-making processes.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.013 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".