The White Geography of Lawren Stewart Harris: Whiteness and the Performative Coupling of Wilderness and Multiculturalism in Canada
Bibliographic record
Abstract
Wilderness and multiculturalism are frequently invoked as central features of the official national imagination in Canada, but seldom are these foundational ideas recognized as genealogically proximate. Instead, both are routinely made to occupy discrete cognitive spaces, with the effect being that they are reified as distinct zones of Canadian life, and imagined as having emerged at two very distinct moments in the Canadian national narrative. Against the grain of this conventional interpretation, this paper offers a counterreading of wilderness and multiculturalism in Canadian political culture—one that seeks to disrupt their presupposed autonomy by rendering them simultaneous moments in a particular racialized historical geography. The paper elaborates this proposition by critically examining two popular works by Canadian landscape painter Lawren Stewart Harris. It concludes with some remarks on the political implications of the argument.
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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 | 0.000 | 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 | 0.001 | 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".