In-and-out-grouped Women——An Analysis of Atwood’s Women Images in Her Four Novels
Bibliographic record
Abstract
Hailed as Queen of Canadian Literature,Margaret Atwood has been one of the very few internationally best-known women writers now.There are three major concerns in her works:feminism,nationalism and the awareness of environmental protection.As a female writer,she has always paid attention to women's living conditions in the patriarchy society.Through a number of women images in her novels,readers can realize women's victimized positions and they always appear as the Other.On one hand,there have been the victimized and abused ones among those women images;on the other hand,there also have been the brave and self-reliant ones who struggle for their own rights and gain identity reconstruction.In this essay,the author tries to choose some women images from Atwood's four main novels and then categorize them into two groups:in-grouped women images and out-grouped ones,in order to help readers have better understanding of the themes of Atwood's novels.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".