Measurements of sound propagation between mock-up workstations
Bibliographic record
Abstract
This report presents the results of an extensive series of measurements of sound propagation between pairs of mock-up workstations. Inter-workstation propagation measurements were repeated for 104 variations of the workstation configuration to determine the effect of each of the major design variables. The measurements were made to aid in developing and validating a model of speech propagation between rectangular workstations in open plan offices. This work is one of the technical building blocks of the acoustical aspects of the COPE project (Cost-effective Open Plan Environments). The COPE project will consider the optimisation of the complete open office indoor environment. The report includes detailed measurements of inter-workstation sound attenuations in 1/3 octave frequency bands. However, the results are presented in terms of the single number Speech Intelligibility Index (SII) rating that is a good indicator of the expected speech privacy of each configuration. (SII is a weighted speech-to-noise ratio varying between 0 and 1. A value of 1 represents near perfect intelligibility and a value of 0 represents near perfect privacy).
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 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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".