Eco-Memory and the Anthropocene Imagination: Ed O’Loughlin’s Minds of Winter
Bibliographic record
Abstract
Despite the relative dearth of ecocritical readings of Canadian literature, environmental concerns have long been part of the bedrock of theorising about Canadian culture and identity. Northrop Frye’s The Bush Garden, Margaret Atwood’s Survival, and Sherrill Grace’s Canada and the Idea of North are just three titles which highlight the foundational relationship between Canadian nature and the social order, calling our attention to the precarious enmeshments between humans and nonhumans and the discursive, physical, and biological legacies borne by the land. This chapter gives a brief overview of the conceptual stakes of Anthropocene discourse in regard to reading Canadian cultural frames and employs the lens of eco-memory to examine relationships between nature, culture, and power in contemporary English Canadian fiction. Guided by the tenets of material ecocriticism, I attend to the ways Ed O’Loughlin’s novel Minds of Winter opens avenues of the Anthropocene imagination where we can rethink the interplay of human and nonhuman historical agencies and reconceive memory as an ethical mode of ecological relationality.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.021 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".