Bibliographic record
Abstract
The following discusses the potential of soundscape work to reveal new aspects of our everyday aural environments. Openness to the voice(s) of one’s sonic surroundings is maintained as a hallmark of soundscape works, and also a key component of sound art more generally. Different perspectives and questions are articulated, with a consistent focus on the variety of spaces engaged by both sound(scape) artists and listeners. A case study is presented – a recently initiated sound art project on the part of the author entitled The Icebreaker. The latter is a musical instrument, performance piece and interactive installation made from piezo microphones and ice. Prepared compositions, including soundscape works, are diffused at different moments when one ‘plays’ The Icebreaker. I describe this emergent work as an example of the sort of considerations and negotiations that are at the heart of soundscape/sound art composition. My aim is to demonstrate how sound artworks bring us to attend to sounds we formerly failed to notice, revealing our own reactions to these stimuli at the same time.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.016 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".