The design of building elements for the sound insulation of mobile studio spaces
Bibliographic record
Abstract
The city of Christchurch, New Zealand currently lacks performance studios where performers can practice due to the widespread damage caused by the 2011 earthquake. However, there are large areas of vacant lots in the city center where buildings have been removed, but redevelopment work has yet to begin. To solve the problem of the lack of available studio spaces and to take advantage of the available open spaces, a mobile building known as project BeatBox was proposed to be built in one of the available, vacant lots. The mobile building includes three studio spaces as well as office spaces. A stipulation for the building design was that it needed to be possible to disassemble the entire building so that it can be transported to a new site and reconstructed when the original building site is ready to be redeveloped. Additional stipulations included stringent sound insulation requirements between the studios, between the studios and the offices and between the studios and the outside. A novel design for the space was proposed to meet the airborne and impact sound insulation requirements based on prediction models. The final design was a compromise between the acoustic, earthquake, fire and structural requirements. The building design is presented and the measured sound insulation values of the studios are compared versus the original, predicted values.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".