Bibliographic record
Abstract
Acoustic ecology has served as a foundational theoretical field for many sound scholars to understand the soundscape as a signifier for environmental crisis. While sound theorists like R. Murray Schafer and those in the World Soundscape Project have developed ways in which to critically analyze environmental soundscapes, these methods have often excluded Indigenous narratives which offer complex understandings of sound through embodied experience. In this paper I employ a brief description of acoustic ecology, drawing attention to its benefits as a methodological approach to sonic ordering, while also demonstrating the possibilities for expansion of this field when examined in conversation with Canadian Indigenous perspectives and notable sonic activist movements. I address how Indigenous knowledge systems, futurisms, art, and activism can provide critical perspectives within the field of acoustic ecology, which lends well to understanding soundscapes of crisis. I identify a few case studies of sonic forward Indigenous environmental movements which include game design by Elizabeth LaPensée, Rebecca Belmore’s Wave Sound sculpture, and the Round Dance Revolution within the Idle No More movement. In sum, this paper works to bridge the work of acoustic ecology and Indigenous sonic movements to encourage a complex and nuanced relationship to sound, and to explore moments for understanding sonic intersections at the forefront of environmental crisis.
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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".