THE ANALYSIS OF CHARACTERS' STRUGGLE TO SURVIVE IN MARGARET AT-WOOD'S WORKS
Bibliographic record
Abstract
Abstract The article gives detailed description of characters’ attempts to survive and find their real self in the society where they are victims, regarding to Margaret Atwood’s novels. To identify self – related features was a long – term process in Canada due to being under suppression for many years. Being under the influence of the United States and Britain literary trends has made it difficult for Canadian writers to make their own way and to gain own values in the world literature. Margaret Atwood was one of the writers trying to describe a real Canadian identity in her novels. Being sacrificed and surviving were the parallel issues explored in Margaret Atwood’s literary works and poems. The theme of survival has never lost its relevance in all time of existence of Canadian culture. This reflects both the struggle of the Canadian people with the harsh climate, outsiders and other threats, as well as the struggle of Canadian literature for recognition. Atwood described different aspects of Canadian literature representing sacrifice, failure and determination to survive
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.028 | 0.010 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".