A Study of Female Alienation in The Year of the Flood From the Perspective of Fromm's Alienation Theory
Bibliographic record
Abstract
The Year of the Flood is the second book in Margaret Atwood's MaddAddam Trilogy. As a Canadian literary queen, Margaret mainly explores the issue of women's situation and prospects in the society. She depicts the current situation of women with delicate strokes, and The Year of the Flood is a typical example of this. This novel depicts the post-apocalyptic scenario faced by mankind after a waterless flood. The work delves into the postmodern society's over-reliance on technology and material development. People blindly pursue development rather than to fulfil real needs. In this background, the novel reveals the alienating effects of the egoistic tendencies of the society on women's existential condition. This paper applies Fromm's Alienation Theory to analyse the existential situation faced by women in the novel in a capitalist society. The society tends to take economic growth and technological progress as the criteria for measuring social progress, while ignoring the carrying capacity of the ecological environment and the spiritual needs of human beings. This single path of pursuing development not only causes damage to nature, but also alienates women's state of being. Margaret Atwood's works aim to provoke thinking and self-reflection, calling attention to the interactive relationship between man and nature, and man and society. She tries to establish a social order full of respect, equality and social responsibility. Only by truly liberating women and paying attention to the natural environment can mankind achieve true freedom and liberation.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".