Unsettling Sympathy: Indigenous and Settler Conversations from the Great Lakes Region, 1820-1860
Bibliographic record
Abstract
Situated at the intersection of Indigenous, Canadian, British, and settler colonial literary studies, this dissertation is a transatlantic analysis of the personal and textual interactions of Drummond Island Métis interviewees, Ojibwe poet Jane Johnston Schoolcraft, British travel writer Anna Jameson, and British Lieutenant Governor of Upper Canada Francis Bond Head in the Great Lakes region in the nineteenth century. During the period after the War of 1812 and leading up to Confederation, settler narratives of sympathy for Indigenous peoples proliferated in politics and literature, yet what remains largely unexamined in the Canadian context is how this sympathy supports “the settler-colonial logic of elimination,” meaning “the dissolution of native societies” alongside the creation of “a new colonial society upon the expropriated land base” (Wolfe 2006, 387, 388, 388). Jameson’s and Head’s declarations of exceptional sympathy for Indigenous peoples in their travel writings situate Jameson’s Winter Studies and Summer Rambles in Canada (1838) and Head’s “The Red Man” (1840) and The Emigrant (1846) as ideal case studies of this colonial phenomenon. Through archival research and Indigenous literary nationalist theory, I interrogate Jameson’s and Head’s sympathy by reframing their texts within the community- and land-based knowledges of the Drummond Island Métis (The Migration of Voyageurs from Drummond Island to Penetanguishene in 1828 1901) and Jane Johnston Schoolcraft (various letters and poems), speakers and writers who are still relatively unstudied in the Canadian literary field. In revealing how Jameson and Head promote the “logic of elimination,” I simultaneously consider how the Drummond Islanders and Johnston Schoolcraft posit in their texts the possibility of “ethical space[s] of engagement” (Ermine 2007, 193) between settlers and Indigenous peoples. Each of the following three chapters interrogates an aspect of settler sympathy (sympathetic aesthetics, sympathetic geographies, and the settler colonial malady) in relation to important socio-political issues in the Great Lakes region (Indigenous representation, sovereignty, and wellness) by considering the perspectives of all of these writers and speakers while attending to the voices of the Drummond Island Métis and Johnston Schoolcraft to unsettle canonical literary and colonial narratives.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.039 | 0.026 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".