Application of the City Ditty soundscape tool in an interdisciplinary urban park design competition
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
The user-centered soundscape design tool City Ditty has been supplemented with local data from Santiago, Chile, to be used in the design of an urban park in which the perception of natural soundscapes dominates over other sound sources. This local data comprises a 3D model of the space, ambisonic recordings of urban background noise, 3D assets and recordings of sound sources (e.g. regional birds). This sketchpad tool is being adapted to local particularities to increase its performance in biophilic design interventions in the target area, and to be able to auralize the proposed 3D park models. These interventions arise from a design competition in interdisciplinary teams and their results are evaluated through individual auralization tests. The design proposal whose soundscape gets the highest subjective rating will be optimized by iterating listening tests and adjusting the design parameters. Once optimized, the final design model can be experienced at City Ditty through head-mounted VR binaural playback as well as an immersive multi-channel playback system.
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 | 0.001 | 0.000 |
| 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