Sensitivity to sounds produced in the city, sound ordinance issues, and cultural planning in New Orleans
Bibliographic record
Abstract
In an effort to address sound ordinance issues and better quantify and qualify the soundscape of New Orleans, multiple soundwalks have been held in the older areas of the city over the last few years, specifically in the densest tourist areas (Vieux Carre/French Quarter and Marigny). Sound level data and participant response from several soundwalks are considered with respect to age, sex, occupation, stakeholder status, and language of descriptive used by the respondents. This soundscape inquiry technique has been complemented by qualitative ethnographic fieldwork performed in 2015 that describes the sound ordinance issues and the communities historically involved: musicians, music venues owners, cultural advocates, newcomers, and neighborhood associations. This qualitative case study reveals a process-based dynamic that evolves around different stakeholders’ sensitivity to sounds produced in the city. We propose that a sound ordinance should attempt to be neutral in regard to cultural effects and be based on the community-asset knowledge of local experts.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".