Outdoor Concert Noise: The Kitchener ON Experience
Bibliographic record
Abstract
Outdoor music festivals have the potential to cause adverse public reaction and noise complaints, particularly from surrounding residential neighbourhoods. At times, seemingly random noise complaints occur, with clusters of complaints occurring in areas well removed from the venue, while adjacent nearby neighbourhoods experience little to no noise. This paper examines the experience in Kitchener, Ontario with The Ever After Music festival, a three-day electronic music festival run in the City since 2015. In its inaugural year, the festival prompted 57 noise complaints, with 7 the next year in 2016, and approximately 100 alone on the final concert night of 2017. Efforts of the promoters and the City to reduce noise impacts, including controls that were put in place, are reviewed and compared to those used in other jurisdictions. Potential event specific relationships between complaint locales, weather, and meteorological effects are also reviewed, as determined through noise propagation modelling and where available, measured sound levels.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".