Decolonizing the Mind: Intellectual Colonialism in Canadian Indigenous Residential Schooling
Bibliographic record
Abstract
The present study draws on Canadian literature and the contributions of indigenous poets to the discipline, aiming to generate an indigenous voice in contemporary times. The present study aims to examine contemporary Indigenous Canadian poetry as a site of resistance to intellectual colonialism, which was produced through the residential school system. Using qualitative textual analysis, the paper analyses selected poems by Rita Joe and Alootook Ipellie to demonstrate how Indigenous poets reclaim silenced histories and reconstruct cultural identity through decolonial expression. In order to engage with the decolonial narrative, Franz Fanon’s The Wretched of the Earth, and Ngũgĩ wa Thiong’O’s Decolonizing the Mind have been adapted as the comparative decolonial framework to examine processes of cultural erasure, linguistic dispossession, and epistemic violence within a Canadian settlercolonial context. By foregrounding Indigenous poetic voices and survivor narratives, the article argues that contemporary Indigenous poetry functions as a counter-discursive space that challenges colonial knowledge systems and reasserts Indigenous ways of knowing within Canadian literature. Key Words: Contemporary Indigenous Poetry, Decolonising the Mind, Residential Schools, Cultural Erasure, Intellectual Colonialism.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.025 | 0.044 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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".