The potential of remote real-time noise monitoring
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
NoiseNet is the Canadian representative of Sensornet.nl . For over a decade, we have provided real-time web access to unmanned noise monitors (including audio recordings) around airports, along railroads, highways and around industry. We helped clients make sense of Big Data by automatically analyzing data, developing source recognition and by providing customized reports. Real-time access to noise monitoring results, results in increased confidence from the public, and drastically reduces response time and cost when dealing with complaints. Recently, unmanned noise measurements along light rail systems have been applied to assist in planned maintenance (rail re-surfacing, rolling stock maintenance), reducing maintenance cost. Virgini Senden, Eur. Ing, INCE Bd. Cert. virgini@noisenet.ca (587) 439 9980 www.noisenet.ca word count: 122
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 it