Laymon Miller, distinguished consultant in noise control engineering at Bolt Beranek and Newman
Bibliographic record
Abstract
Laymon Miller was employed in Harvard’s Underwater Sound Lab (HUSL), under the direction of Professor F. V. Hunt during World War ll. When that laboratory closed, Laymon joined the consulting staff at Bolt Beranek and Newman (BBN). Laymon became BBN’s leading expert on the reduction of noise and vibration in ventilating systems. One of his important jobs was noise reduction at New York’s Lincoln Center’s Philharmonic Hall. He also became expert in vibrations transmitted through the earth. In particular, he designed the vibration isolation pads used to reduce the transmission of railroad track vibrations into adjacent buildings in a number of cities, including Boston’s Back Bay and Montreal. Practically every important building acoustics project that came into BBN received his attention. He gained the reputation of more chargeable consulting time each month than any other employee. Besides mentoring numerous new BBN employees he taught highly sought after courses on noise reduction for architects, building, industrial and plant engineers, as well as for other acoustical consultants.
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.
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 | 0.000 | 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 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".