Community Noise Investigation of a "Low Level Thrumming" attributed to the Operation of Mine
Bibliographic record
Abstract
Acoustical consultants are sometimes contacted by members of the public who are being disturbed by a noise at low levels that they attribute to an industrial or commercial site or perhaps to an unknown source. In some cases, certain aspects of the situation (e.g. setback distance, overall noise emissions, lack of other community noise complaints) would not typically suggest that there should be a noise problem. A resident of a small town had reported experiencing a “low level thrumming” within their residence during the nighttime hours that they were convinced was originating at a mine located approximately 2.7 km from their residence. With the exception of one or two other residents, no one else in the community had reported being disturbed by noise from the mine. This paper presents the results of noise and vibration measurements that were conducted to document this “low level thrumming” and determine if it was originating at the mine.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".