Recognizing Settler Ignorance in the Canadian Truth and Reconciliation Commission
Bibliographic record
Abstract
The Canadian Truth and Reconciliation Commission (TRC) has been mandated to collect testimonies from survivors of the Indian Residential Schools system. The TRC demands survivors of the residential school system to share their personal narratives under the assumption that the sharing of narratives will inform the Canadian public of the residential school legacy and will motivate a transformation of settler identity. I contend, however, that the TRC provides a concrete example of how a politics of recognition fails to transform relationships between Native and settler Canadians not only because it enacts an internalization of colonial recognition, but because it fails to account for what I call “settler ignorance.” Work in epistemologies of ignorance and epistemic oppression gives language to explain sustained denial and provide tools to further understand how settler denial is sustained, and how it can be made visible, and so challenged. For this task, Mills’s articulation of white ignorance should be expanded to a consideration of white settler ignorance. Over and above an account of white ignorance, such an account will have to consider the underlying logics of settler colonialism. This characterization of settler ignorance will show that the denial of past and ongoing violence against Indigenous peoples, through the reconstruction of the past to assert the primacy of settlers, is not explainable in terms of a lack of recognition but is rather structural ignorance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".