Unsettling the Environment: The Violence of Language in Angela Rawlings’ Wide Slumber for Lepidopterists
Bibliographic record
Abstract
Canadian poet Angela Rawlings’ Wide Slumber for Lepidopterists (2006), a book of experimental ecopoetry, raises questions about the violence of language in the context of a settler-colonial nation. This article argues that Rawlings’ “unsettling” use of the nonhuman environment in her poetry allows her to critique the role that anthropo-, phallo-, and eurocentric language has played in the (discursive) settling of Canada. By exploring how Rawlings employs what Cynthia Sugars calls the “postcolonial gothic,” I show how a postcolonial ecocritical reading of Wide Slumber reveals the (at times violent or difficult) intertwining of national, cultural, and ecological concerns. Ultimately, the concept of “unsettling” utilizes gothic disturbance in order to challenge the process of colonial settlement and discourse and show concern for the well-being of the natural environment.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.045 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".