Bibliographic record
Abstract
Critics of Canadian literature such as Cheryl Cowdy, Frank Davey, and Franca Bellarsi construe suburbia as existing somewhere in between the concrete jungle and the verdant wilderness. The ecocritical implications of this geographic and critical positioning, however, have not yet been thoroughly examined. Common images of suburbanites portray people in the “enclosed private worlds of fences, parlours and automobiles,” cut off from their larger communities and environments in collective isolation. Margaret Atwood’s Cat’s Eye (1988) depicts how this separate-from-nature culture is fostered. As Elaine Risley faces the repressed, traumatizing experiences of her childhood, she confronts her and her society’s various interrelationships with the natural world, showing how a suburban upbringing can produce unsatisfactory relationships with both human and non-human nature. In so doing, Cat’s Eye critiques common, urbane conceptions of nature from a point of view that is quintessentially ecocritical. Aside from the obvious environmental concerns vocalized by Elaine’s biologist father, ecological issues are relevant to three other aspects of the novel: Elaine’s early childhood in northern Ontario, her later summer vacations there, and the social pressures and cultural practices that Elaine experiences in suburbia. Through these elements of the narrative, Cat’s Eye articulates some of the fundamental relationships with nature experienced by those living in suburban Canada and seeks to move beyond conventional portrayals of this relationship.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".