Nighttime Invasions, Colonial Dispossession, and Indigenous Resilience in Richard Wagamese’s Indian Horse
Bibliographic record
Abstract
This essay demonstrates how Richard Wagamese employs oral storytelling techniques to make the complex idea of Indigenous dispossession sensually and intellectually accessible to readers of his novel, Indian Horse. The Wabseemoong First Nation writer depicts the devastating effects of white entitlement when rendering character Saul Indian Horse’s experiences in Canada’s residential schools and the effect those schools had on his subsequent life. Using narrative analysis, it will be shown how Saul loses his ability to perceive places as being alive and resonant, and is thereby dispossessed on an individual, social, and spiritual level. Furthermore, Wagamese’s descriptions of the physical, emotional, and sexual abuse of Indigenous children draw attention to the harrowing histories of Canada’s residential schools, thus laying bare the necropolitical potential of settler-colonial dispossession. This essay links Wagamese’s narrative to recent arguments brought forward in Indigenous studies. It aims to demonstrate that Indigenous dispossession in settler colonial states is part of modernity, and its overarching political economy, that is capitalism.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.013 | 0.018 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".