A Tribe Called Red’s Halluci Nation: Sonifying Embodied Global Allegiances, Decolonization, And Indigenous Activism
Bibliographic record
Abstract
“We are the tribe that they cannot see. We live on an industrial reservation. We are the Halluci Nation.” These words from Indigenous activist and poet John Trudell (1946–2015) inspired the latest album by Ottawa-based Indigenous DJ collective A Tribe Called Red (ATCR) and frame its pan-Indigenous, transcultural message. Inter-tribal relationships are both common and important to Indigenous communities, especially in urban centres. Powwows are also events that emphasize intertribal and intercultural relationships, even as they hosted by a specific nation. With Halluci Nation, ATCR seeks to foster far-reaching allegiances across culture, ethnicity, and place to “[understand] oppression and how to collectively dismantle oppression” (DJ NDN of ATCR). This article argues that ATCR’s Halluci Nation sonifies a process of decolonization that establishes an embodied network of global allies. I trace the development of ATCR’s music from its original focus on the Ottawa Indigenous community and its non-Indigenous allies to a call for nation-to-nation relationships (see Juno Award–winning album Nation II Nation, 2013), and then now to a concept album that seeks to manifest a real “Halluci Nation” with members from around the world. Analysis of ATCR’s music, audience, and Halluci Nation album is contextualized by studies of community formation and identity politics in intertribal initiatives), such as powwows and friendship centres, and pan-Indigenous activism, such as Idle No More.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.029 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".