ElderCrits as a Building Framework for Black‑Indigenous Peoples’ Decolonizing Solidarities
Bibliographic record
Abstract
This paper explores possible sites for critical anti- and decolonial solidarity-building between the Black communities and the Indigenous Peoples in Canada. We leverage African Elders Critical Teachings (ElderCrits) as a discursive framework to conceptualize the interdependence required for a decolonizing solidarity work between Black and Indigenous People, and to expose how white supremacy and colonialism are maintained overtly and covertly in everyday social relations to implicate Black and Indigenous Peoples’ lives in Canada. We conceptualize ElderCrits as bodies of knowledge emerging from the shared voices, experiences, history, cultures, and viewpoints of Indigenous Elders of Africa and Turtle Island over generations because of sustained attachments to the land, culture, and nature. ElderCrits are knowledge grounded in an Indigenous person as a subject knower. ElderCrits are bodies of knowledge that are treasured and held in highest esteem by community members, and they often inform, shape, guide, organize, and regulate how community members uphold the promise of a better future. Such knowledges speak of society, nature, and culture interface, and serve as teachings that guide social behavior and action in Indigenous communities. They are appropriately termed the local cultural resource knowledge of Indigenous Elders. We draw on ElderCrits to nurture a decolonizing solidarity between Black Peoples and Indigenous Peoples in Canada to incite a resistance politics that flees and abandons the carceral projects (Harney & Moten, 2013) of anti-Black and anti-Indigenous racism without leaving out the possibilities of creating new futurities based on inclusive, fair, and equitable relations.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.032 | 0.070 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".