“An Ocean of Noise”: H.E. Reilley and the Making of a Legitimate Social Problem, 1911–45
Bibliographic record
Abstract
In the 1930s and early 1940s, McGill University physics professor H.E. Reilley led Montreal efforts to limit noise, evaluating the acoustics in buildings, giving speeches on the dangers of noise, and playing a part in writing the city’s first comprehensive anti-noise bylaw. Situating his noise abatement movement within the international rise of the field of applied acoustics, the advent of anti-noise campaigns in other countries, and previous state efforts to limit noise in Montreal, this article explores the numerous ways Reilley sought to make the dangers of noise a legitimate social issue in a culturally divided city. We argue that Reilley used his affiliation with McGill to overcome problems of professional legitimacy and that he sought powerful allies for his cause, deliberately bridging the French-English divide inherent to this industrial city. Reilley achieved less success in extending legal limitations on noise into the workplace and in having noise bylaws enforced. Ultimately, Reilley’s noise abatement campaigns represent particularly strong examples of reflexive modernity—a specifically modern response to problems brought about by modernity itself.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".