Factors Affecting Ventilation and Acoustical Quality in a Sustainably-Designed and in Conventional Buildings — A Pilot Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper discusses a pilot study involving direct monitoring of airflow and acoustical quality in a sustainably-designed and in conventional buildings. The objectives were to measure these environmental aspects, determine the factors affecting them and the relationships between them and key building-design concepts, and consider the implications of the results for ventilation-system design. Selected rooms in buildings with natural and mechanical ventilation, without and with acoustical treatment, were monitored. Measurements were made of airflow rates and acoustical quality. Correlations between these environmental aspects, the types of building and ventilation system, and the building window status were investigated. In rooms with natural ventilation, noise levels were lower; however, the rooms had lower airflow rates. Rooms with mechanical ventilation had higher airflow rates, but noise levels were higher; HVAC noise was a problem if the system was not well designed. In naturally-ventilated buildings, airflow rates and noise levels were low with windows closed, but opening the windows to increase the airflow rate resulted in higher noise levels. The results of the study suggest that the acceptability of indoor environments in buildings depends on the degree of compliance of the design and its implementation with standards and design guidelines, whether the original design is ‘sustainable’ or not.
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.
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 | 0.004 | 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 | 0.000 | 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 it