Spectrality in Margaret Atwood’s “Death by Landscape” (1990)
Bibliographic record
Abstract
This article explores how Margaret Atwood engages with the literary trope of spectrality through the ghost of Lucy in “Death by Landscape” (1990), an enigmatic short story which can be fruitfully analyzed in the light of both the author’s critical writings and the spectropoetics introduced by Jacques Derrida. As an outstanding example of the Canadian Gothic, this brief narrative not only addresses the universal concerns of death and bereavement, but also raises more specific key issues, including present-day human relationships with the natural environment and the perception of geographical spaces as symbolic sites. Lucy’s ghostly presence haunting Lois draws special attention to the noxious effects of the modern appropriation of Native-American cultures, a controversial topic illustrated by the Indian-themed summer camp where Lucy mysteriously \ndisappears and by her naïve friend Lois’s explicit desire “to be an Indian”. Additionally, Atwood’s short story evokes the physical displacement due to colonial expansion and recalls the ensuing social dislocation of the decimated Native populations, eventually almost erased from the actual and imaginary landscapes of North America.
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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 | 0.000 |
| Science and technology studies | 0.015 | 0.015 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| 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".