Bibliographic record
Abstract
Highlighted in Chapter 3 : Designing Differently Through Acoustemology: Sound, Soundscapes and Sonic Environments , it is the sound and soundscapes that are documented here showing how to map onto ecology and space, heal, enlighten, produce identities and shape new ways of knowing and spatial justice. Sound is often misunderstood and constantly compared to the senses of sight and visuality, creating a dualism that emphasises sound as ephemeral and spatially constructed. Recent work on sound and specifically soundscapes emphasises that sound is not ephemeral and can alter our ways of knowing in significant ways. I have studied sound from multiple perspectives and disciplines across the arts, social sciences, humanities and even sciences, but it was through the study of ‘anthropology of the senses’ in my doctoral work in 2013 that I came to understand the concept of acoustemology, a way of knowing through sound and acoustics. Building upon this from the anthropological field, this chapter expands the concept and application of acoustemology into architecture and design studies. This chapter critiques the occularcentric nature of ableist architecture and spatial design and calls for new lines to be drawn by sound and soundscapes so as to bring about spatial justice. Case studies in this chapter include tangible examples from Canada’s Sports Hall of Fame and the Canadian War Museum on how to create inclusion in cultural institutions.
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 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 | 0.000 | 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) | 0.003 | 0.007 |
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; both teacher heads agree on what is shown here.
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".