Relationality over Coloniality: An Inquiry into Decolonizing Settler-isms with Indigenous Futurisms
Bibliographic record
Abstract
Reconciliation between non-Indigenous/settler peoples and Indigenous peoples has become a central tenet of Canadian education. In this dissertation I examine the ways a settler-colonizer's capacity to dream a vision of reconciliation into being is fractured. The ways schooling is stuck between, the potential for education to labour a decolonial future and the crisis of responsibility that ensues when education continues to be informed by settler ideologies that reinforce white supremacy and the superiority of Euro-western knowledge, come into focus. In the first two chapters I address colonial inheritances regarding the epistemic violence embedded within normative structures of contemporary society as barriers to relationality. Specifically, shame in schooling and the way settlers engage with positionality shapes and reflects how stolen land and relationality are understood. Decolonization offers some consolation, but how can a non-Indigenous settler person unsettle colonial ways of knowing, being, thinking, and doing while operating within these systems? From there I build an argument that Indigenous Futurisms is a catalyst for new ways of questioning and practicing decolonizing work, driving Indigenous resurgence and re-imagining reconciliation as a generative and relational praxis. In the last two chapters I bring into dialogue Indigenous Futurist artwork to show how these artists' socio-political interventions foreclose colonial ideology and machinations of future without conflating the ongoing dispossession and colonial violence(s) while creating a sense of hope and possibilities for otherwise futures. Zombie counter-narratives presented by contemporary painter, Bunky Echo-Hawk and filmmakers, Lisa Jackson and Jeff Barnaby, reframe Indigenous inheritance as the medicine needed in the post-apocalyptic world. Multidisciplinary artists, Nicholas Galanin, Steven Paul Judd, and Andy Everson reimagine Star Wars with space NDNs (N-D-N-s) highlighting the connective tissue of Indigenous living presence in past-present-future timelines. In conclusion, I suggest that if there is to be any hope of developing a decolonizing practice and an ethical space of engagement, non-Indigenous/settler peoples must step into the void working to un-learn, within educational institutions and beyond.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.066 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.006 |
| 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".