Bibliographic record
Abstract
The subject of the research is the death in prose by the famous modern Canadian writer Margaret Atwood (b. 1939). The object of the research are the novels and short stories of the author (novels "The Blind Assassin", "Cat's Eye", "Lady Oracle" etc.). The author of the article pays special attention to the biographical narratives of the Canadian writer, in which the main character is also the narrator. Stories of storytellers by M. Atwood, as a rule, always unfolds retrospectively – from the present to the past. During their journey, the narrating characters mentally return to the past and conduct "negotiations with the dead." Based on the researches of M. Atwood's legacy, as well as on the literary works of the Canadian writer herself, the author of the article describes the place of the theme of death in her retrospective narratives. The author of the article comes to the following conclusions. 1) The theme of death is one of the key themes in her work. Atwood, since the retrospective narrative of the biography itself involves an appeal to the past, to the world of the dead. Remembering, the main character, the narrator, mentally makes a journey into the world of the past, which M. Atwood rhymes with the afterlife. 2) The creative process, the creation of a story in the writer's artistic world, takes place during "negotiations with the dead", when the hero-narrator mentally addresses people from his past. 3) Death in the works of M. Atwood often appears in the form of a relic, an archaeological find, a lost and rediscovered thing. The difficult process of exhumation and extraction from the ground is consonant with the equally difficult process of dissecting the narrator's own complexes and resentments.
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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 | 0.011 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".