Childhood trauma and the identity quest in Margaret Atwood’s Cat’s Eye
Bibliographic record
Abstract
Margaret Atwood, an iconic Canadian writer in many of her novels has dealt with the power politics and its consequences especially in her women protagonists’ life. In her novel Cat’s Eye, the power games are played exquisitely by little girls. As it has been done previously by Graham Greene and William Golding in their works, Atwood has effectively captured the complex relationship between the school bully and victim, through her characters. Like Atwood’s earlier novels, Cat’s Eye is a novel which is not only against to restrictive idealism, it is also against to authoritarianism manifesting in several forms. According to Atwood, women suffer not only at the hands of rigid patriarchy; even female folks indulge in bullying and torturing the less privileged of their own gender. In this novel, Elaine Risley was a victim and a protagonist. She is victimized by her three classmates at her school-Cordelia, Carol and Grace Elaine Risley persecuted from her child age and in her young age it increased a lot. Due to her itinerant life, she became homeless among her peers. Consequently, she became a victim to the surroundings.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.037 | 0.029 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.006 | 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".