Elaine Risley’s Character Development in Margaret Atwood’s <i>Cat’s Eye</i>
Bibliographic record
Abstract
This research explores the character development of Elaine Risley, the main character of the novel Cat’s Eye by Margaret Atwood (2009), throughout her childhood, adolescence, early adulthood, and adulthood years. The objectives of this research are to explain how the character of Elaine Risley develops in Cat’s Eye and to examine the factors which affect Elaine Risley’s character development. This research employs the objective approach proposed by Abrams (1976) as its theoretical framework and the library research as its method of research. The results show that Elaine Risley always experiences development in her character throughout her life; she develops from a bullied little girl in her childhood, a mean but passionate girl in her adolescence, and an independent young woman in her early adulthood to finally become a woman who struggles to let go of her past in her adulthood. Elaine Risley’s character development is affected by several factors, namely, Toronto as her environment, her experiences with bullying, the men and women in the society around her, her own paintings, the cat’s eye marble, and the Virgin Mary.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".