The apocalypse will not be colonized: crisis, monsters, and futurism in recent Indigenous narratives
Bibliographic record
Abstract
This thesis investigates how recent Indigenous apocalypse narratives depict the crises of ecological collapse and late-stage capitalism. Drawing on Gerald Vizenor (Anishinaabe)'s theory of survivance as well as Jacques Derrida's theory of hauntology and Mark Fisher's concept of capitalist realism, the thesis argues that Anishinaabe writer Waubgeshig Rice's Moon of the Crusted Snow (2018), Mi'gmaq director Jeff Barnaby's Blood Quantum (2019), and Métis writer Cherie Dimaline's The Marrow Thieves (2017) each envision futures beyond the "end of time." The thesis is framed by the Mi'kmaq concept of Etuaptmumk, or Two-Eyed Seeing, and begins by developing a theory of "colonialist realism": the sense that colonialism is inevitable and viable in perpetuity. The chapters that follow examine how Rice, Barnaby, and Dimaline critique colonialist realism through their narratives of crisis and collapse, the colonial monsters that hunt Indigenous characters in each work, and the dreams that create Indigenous futurity beyond the apocalypse.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.032 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".