Seeds of Survival: Indian Ecological Wisdom and Dystopian Futures in Margaret Atwood’s MaddAddam Trilogy
Bibliographic record
Abstract
ABSTRACT Margaret Atwood’s MaddAddam trilogy articulates urgent ecological anxieties that resonate strongly with Indian traditions of environmental ethics and ecological justice. Drawing implicit parallels with the philosophies of Mahatma Gandhi, Vandana Shiva, and ancient Indian ecological thought rooted in Vedic and Puranic traditions, Atwood’s dystopian vision foregrounds the ethical consequences of anthropocentrism, unrestrained scientific experimentation, and corporate-driven modernity. Through a parallel reading of Atwood’s speculative fiction and canonical Indian ecological discourses, this paper argues that the trilogy critiques dominant Western models of progress while gesturing towards alternative eco-centric paradigms embedded in Indian intellectual and spiritual traditions. In the context of growing Indo-Canadian academic engagement and global debates on sustainability, Atwood’s narratives function as cautionary tales advocating ecological responsibility, ethical restraint, and harmonious coexistence with nature.
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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 | 0.002 | 0.003 |
| 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 | 0.042 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".