Bibliographic record
Abstract
This short piece proceeds as a dialgoue about the Indigenous black metal project, Gyibaaw, active in Northern BC between 2006 and 2012. The band was not particularly well-known, and yet their music had influential followers around the world and was prefigurative of the Indigenous resurgence politics that erupted across Canada with Idle No More. One of us was the drummer and co-songwriter for Gyibaaw. The other is a settler and an author of a recent history of the band. In this piece, we use the conceptual frame of audiopolitics to discuss the decolonizing politics of one of Gyibaaw's songs, Gyitwaalkt. To what extent does this ‘audiopolitics’ express notions of sovereignty and decolonization? What are its capacities and limits? We refuse to conclusively define what we are calling an ‘Indigenous audiopolitics.’ Rather, we use the term as a basis for discussion and exploration, one that speaks to the ambitions of Gyibaaw – and perhaps some of the hundreds of other Indigenous black metal bands that exist around the world today too.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.033 | 0.022 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".