Comparison of the Acoustic Design Requirements of the LEED, WELL and Green Globes Building Rating Systems
Bibliographic record
Abstract
In 2005, the UC Berkeley Center for the Built Environment (CBE) published results from 34,000 building occupant satisfaction surveys collected by the center. Their study found that the area of greatest occupant dissatisfaction with LEED and other green buildings was acoustics, and that the degree of dissatisfaction with acoustics was greater for these buildings than in conventional buildings. Since its release, the CBE study, and others like it, have helped to drive the incorporation of acoustic requirements into North American green building rating systems for a variety of building types. This paper will provide an overview of the acoustic prerequisites and optional performance targets of the latest versions of the LEED, WELL, and Green Globes green building rating systems. It will compare the acoustic performance requirements of these rating systems, and provide comment on key design considerations for achieving these requirements.
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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 | 0.001 | 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 | 0.002 | 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) | 0.000 | 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".