Revelation as Reclamation: How Apocalypse Literature Promotes Indigenous Futurity.
Bibliographic record
Abstract
The apocalyptic genre presents a space to imagine alternatives to the governance of settler-colonialism, providing possibilities for Indigenous reclamations of land and culture. Apocalypse literature allows Indigenous writers to unveil mechanisms of settler-colonialism that dismantle attempts at Indigenous sovereignty. I will be situating Waubgeshig Rice’s Moon of the Crusted Snow, Cherie Dimaline’s The Marrow Thieves, and Louise Erdrich’s Future Home of the Living God to pre-existing thematics of the Christian apocalyptic tradition which these Indigenous authors simultaneously draw upon and dismantle by applying them to Indigenous contexts. I will be utilizing Bernard McGinn and Richard K. Emmerson’s heuristic of the vertical (divine) and horizontal (historical) poles of apocalyptic modes of representation as a framework to demonstrate how these three novels work as apocalyptic texts and unveil aspects of settler-colonial modernity (Emmerson and McGinn 7). Apocalyptic literature unveils hidden secrets that deal with time and divinity that could unravel the fabric of society. Similarly, the Indigenous apocalyptic novels surveyed here move backwards through time to reveal hidden mechanisms of settler-colonial power that are used and reused to disregard Indigenous bodies, perspectives, and sovereignties. The dismantling of these mechanisms in the apocalyptic space allows for Indigenous characters to reclaim their connection with their cultures and territories.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.015 | 0.069 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".