SCALE-MODEL INVESTIGATION OF THE EFFECT AND OPTIMAL DESIGN OF SOUND ABSORBERS IN AN OPEN-PLAN OFFICE
Bibliographic record
Abstract
The UBC Vancouver AERL building fourth-floor open-plan student area contains TECTUM sound-absorptive baffles located flat against, and suspended from, the ceiling. Is this the optimal configuration or would they, for example, be more effective if located in a different configuration? This paper discusses tests performed in a 1:8-scale open-plan model with 18 workstations, using a suitable 1:8-scale-model sound-absorbing material (6-mm-thick felt), to investigate the sound absorption provided by acoustical treatments such as baffles in AERL and find the optimal configuration. Both the reverberation time (T_20 in s) and sound level decrease per doubling of distance (DL2 in dB/dd) were tested for 15 different absorber configurations (suspended, ceiling-mounted and sidewall absorbers and their various combinations), including the current configuration. The optimal absorber configuration ? absorber covering the whole ceiling and, the second best, a combination of all types of absorber ? was the same for both T_20 and DL2, and performed much better than the current configuration of the AERL space area.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".