THE CHIME: POETICALLY TRANSLATING THE DISCRETE DIFFERENCE OF \nAGNSOTIC SENSORS INTO A SONIFICATION OF THE CITY
Bibliographic record
Abstract
Inspired by Georg Simmel’s notion of the blasé and Mark Weiser’s vision for calm technology, this document detailing the application of critical concepts to the realization of a design intention is a critical and creative exploration of computation and the everyday. While paying particular attention to the conceptual underappreciation of acoustic space and place, I outline a case for poetically translating data collected from inherently agnostic sensors through the design, construction and use of an instrument for sensing environmental difference (comprised of 18 sensors measuring 27 data points) and exemplified through a musical sonification. A generative instrument, such as The Chime, takes external impulses and translates them poetically into a form that naturally casts the attention back upon the initial gust. In the built environment such treatment of discrete sensing could help engender what I call acoustic places; place that, even if for a passing moment, might resonate harmonically and reciprocally with the inspiration for its emission.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.017 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".