Prototype cells: Acoustic diffusion wall system
Bibliographic record
Abstract
RESEARCH BACKGROUND: This project on prototype cells for an acoustic diffusion wall system was selected for the Prototyping Architecture exhibition featuring architects, engineers, manufacturers, product designers, academics and artists to explore the importance of prototypes in the delivery of high quality experimental design. The exhibited cells were selected items from a range of geometric and material mock-ups and tests, used to identify suitable options for production and to understand those that enabled significant design impact. RESEARCH CONTRIBUTION This project is a rare example of architectural design research that draws on: 1) architectural design research into strategies for designing around performance criteria in early stage design through the integration of digital simulation; (2) architectural research into the potential of digital fabrication technologies to contribute significant advantages in prototyping and testing of design ideas within architectural design processes; and (3) acoustic research that recognises the emergence of acoustic diffusion as a contributor to acoustic comfort. RESEARCH SIGNIFICANCE: Funded by The Social Science & Humanities Research Council of Canada, the exhibition was curated by Professor Michael Stacey, Director of the Architecture and Tectonics Research Group of the Architecture and Urbanism Research Division (University of Nottingham), in conjunction with the Building Centre Trust. This project was selected alongside works by leading figures in the field including Barkow Leibinger, Renzo Piano Building Wokshop, Philip Beesley Architect inc., Yves Ebnoether, and Zaha Hadid Architects. The exhibition was accompanied by the Prototyping Architecture conference in London. Further peer review was achieved via invitations to exhibit at two other high-profile venues: the Building Centre, London and the Cambridge Galleries, Ontario, Canada.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.006 |
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".