Storied Geographies: Settler Extractivism and Sites of Indigenous Resurgence in Cherie Dimaline’s Empire of Wild
Bibliographic record
Abstract
This article offers a reading of Cherie Dimaline’s Empire of Wild (2019) that focuses on the novel’s poetics of space, which contests settler colonial extractive geographies. Adopting a strong Métis- and women’s perspective, Dimaline’s narrative explores the contemporary Métis condition, which is marked by dispossession and displacement under settler colonialism, and the precarity connected with rampant resource extraction in Canada. In order to tackle the tensions between settler- and Indigenous conceptualizations of space, I provide a brief overview of settler Canadian land politics, and describe the nation’s reliance on fossil fuels applying the concepts of petrostate and petroculture. By incorporating a Rogarou figure, a lupine monster in Métis stories, Dimaline embeds her novel within the traditional stories of her people, demonstrating their potential to critique and contest settler colonial geographies marked by extraction. The analysis approaches Indigenous storytelling as a strategy that resists dispossession and tackles the representation of Métis bodies as sites of resurgence.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| 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".