Review of <i>Unsettling the Settler Within: Indian Residential Schools,\nTruth Telling, and Reconciliation in Canada. </i>By Paulette\nRegan.
Bibliographic record
Abstract
The Canadian settler state has enacted egregious practices of assimilation, dispossession, and genocide against First Nations, Inuit, and Metis peoples throughout its history. Running contrary to these practices are the prevailing narratives found in Canadian historical texts and settler national myths. In Unsettling the Settler, Paulette Regan addresses this contradiction by analyzing the "peacemaker" myth, which she suggests is deployed by the state to construct a history of settler innocence. In light of this, any acknowledgment of historical injustices committed by Canada, such as Indian Residential School policies, is iteratively couched in the promise of reconciliation.\nSeeking to navigate the complex terrain of reconciliation in Canada, Regan's text is an important contribution to settler studies in Canada. Unsettling encourages settlers to revisit the problematic appropriation of terms such as warrior and peacemaker that have been grossly misrepresented in settler myths as a way to reframe Indigenous approaches to reconciliation. In doing so, Regan demonstrates how attitudinal shifts may engender new material realities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".