Bibliographic record
Abstract
Abstract Electroacoustic research as a cultural practice has always existed within the state relation. In this text the sound art collective Ultra-red attempts to map this relation within electroacoustic practice and poses a counter inquiry that resists rather than affirms the liberal state. In the era between the world wars and immediately after World War II electroacoustic research emerged out of state-funded radio communications and university institutions. The “apolitical” position of sound researchers working in European democracies reflected the hegemony of liberalism. Research conducted by the World Acoustic Ecology movement in Canada is an example of the liberal position. The WAE sound researchers attempted to socially engineer solutions to the contradictions within modern capitalist society without addressing the social antagonisms inherent within the mode of capitalist (and imperialist) production administered by the liberal state. We conclude with an example of electroacoustic research within the larger Third Cinema project of national liberation and anti-imperialism, articulating the possibility of a “Third” electroacoustic inquiry that resists the value-form of participation of bourgeois state listening and proceeds from the position of revolutionary antagonism to the state.
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 | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.070 | 0.010 |
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".