Acoustical verification testing of ground run-up enclosure at Vancouver International Airport
Bibliographic record
Abstract
The Vancouver Airport Authority is responsible for noise management activities for aircraft arriving and departing YVR. To meet this requirement, the Airport Authority has a noise management program, and one of the main means of accomplishing the program objectives is completing initiatives contained in the YVR Noise Management Plan. As part of work on the 2009-2013 YVR Noise Management Plan, the Airport Authority decided to proceed with the design and construction of a ground run-up enclosure (GRE) to reduce noise disturbances from engine run-ups. A run-up event consists of testing engine and systems after maintenance to ensure the aircraft is airworthy and can be returned to service. Managing noise from run-ups has been a challenge given that run-ups were performed in open environments without much shielding to reduce sound propagation into the community. The construction contract included an acoustical acceptance testing requirement to determine whether the insertion loss, measured in accordance with ANSI S12.8-1998, met a minimum value of 15 dBA at the specified receiver locations. This presentation will discuss the acoustical acceptance testing that was performed for the GRE as part of the commissioning for the project.
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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 | 0.001 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".