Listening to Indigenous Knowledge of the Land in Two Contemporary Sound Art Installations
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
This essay addresses the silences and soundings of Rebecca Belmore's (Anishinaabe) and Julie Nagam's (Anishinaabe/Métis/German/Syrian) sound art, which reflects their environmentalism and profound commitment to Indigenous ways of knowing, making, and listening. Working at the intersection of sound art and politics, the two perform sonic interventions into settler colonial spaces—the National Parks system and the gallery, respectively. Belmore's Wave Sound (2017) and Nagam's Our future is in the land: If we listen to it (2017) illustrate how their sound art gravitates toward the ecological and considers what healthy and unhealthy relationships between humans and the nonhuman world—plants, animals, resources—sound like. Belmore and Nagam introduce marginalized perspectives and voices to address the problematic authority of whiteness that conspicuously dominates the discourse on music, sound, and environment—a relatively homogenous and exclusionary artistic, technological, and scientific discussion.
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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) | 0.000 | 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