“Exploring the Acoustic Environment of the Montreal Metro by Doing the ‘Dou-Dou-Dou’”
Bibliographic record
Abstract
The ‘dou-dou-dou’ is the signal heard as train doors on the Montreal Metro close. It was developed by the STM (Société de transport de Montréal) in 2010 as a way to prevent service delays as well as promote safety within the subway environment (namely to prevent commuters getting stuck between doors and to stop fellow passengers pushing each other). Although only a relatively small sequence in the overall acoustic environment of the Metro, the three tones of the ‘dou-dou-dou’ are important in creating a particular type of social space. This article explores the development of this unique part of the acoustic ecology of the Montreal metro system, comparing the STM’s publicity material about the development of the signal with key musical and cultural studies frameworks relating to power and affect. The focus is on the ‘dou-dou-dou’ as a method of sonic management within the metro environment, exploring the flows of power between commuters and officials within the space. In addition to being a pragmatic ‘audio signal’ to direct commuter traffic, we propose that the ‘dou-dou-dou’, with its specific composition and instrumentation, can be understood as more than just a musical marker of place in the broader historical and cultural audio environment of the metro.
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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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".