Diving into the Subconscious of Women and Nature: Margaret Atwood’s Surfacing as an Ecofeminist Novel
Bibliographic record
Abstract
Woman and nature can be considered the best creations of god. Both together keep the earth alive and balanced through the process of creation. The male dominated practices have destroyed the nature as well as women. This paper deals with the different aspects of Eco-feminism through the novel Surfacing by Margaret Atwood. The narrator’s quest to the wilderness of Canada in search for her father which leads to a quest of self-discovery in the lap of nature becomes the major focus of this paper. The unknown protagonist becomes a representative of the entire female community. The realization that women are just an object to be conquered and violated by men is what leads to the ‘surfacing’ of the protagonist. In complete harmony with nature excluding clothes, language, food etc. the protagonist goes crazy which gives her more happiness that with her other relationships. The paper also tries to analyse the close relationship between women and nature and how the virgin nature and woman are destroyed by the invasion of the male community. Repressed gender roles, submissiveness, self-realization through nature and the challenges faced by women that are presented. The concept of women and nature as both victims of the male dominated society is also emphasized. This novel is the perfect literary example of an Eco-feminist work that portrays the destruction of women and nature even in the minutest episodes in the novel. Nature is a treasure-house of many myths that lay hidden in the beliefs, rights and rituals of the aboriginals which are passed from one generation to another. In the same manner women also are the sustainer's of many myths that the male society has made upon her. The mother i.e. both woman and nature is examined here.In a vast country like Canada,nature comprises to its majority through its wilderness.This wilderness hides many priceless virtues and knowledge that can be learnt only in complete harmony with nature.Surfacing is not just the journey of a woman but it is the quest that the female gender thrives for.This paper combines the theories of eco-criticism, eco-feminism and to analyse the novel Surfacing into a biological whole that merges nature, man and the beliefs of man that make existence meaningful and life worth living. In an era of rapid industrialization and materialism, it is necessary to go on a quest back to nature and learn how life was easier in the lap of nature. Great writers like Shakespeare,Chaucer and Wordsworth were able to carve out such master pieces only because of their relationship with the purest and virgin nature which is the greatest teacher for mankind of all times.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.012 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| 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".