ՄԱՐԴԿԱՅԻՆ ՓՈԽՀԱՐԱԲԵՐՈՒԹՅՈՒՆՆԵՐԻ ԸՆԿԱԼՈՒՄՆԵՐԸ ՄԱՐԳԱՐԵԹ ԱԹՎՈՒԴԻ ՍՏԵՂԾԱԳՈՐԾՈՒԹՅՈՒՆՆԵՐՈՒՄ / PERCEPTIONS OF HUMAN RELATIONSHIPS IN MARGARETATWOOD’S WORKS
Bibliographic record
Abstract
This article represents the feminist views of Margaret Atwood, the most prominent and outstanding author of Canadian literature. Studying M. Atwood’s literary heritage, we can state that she is considered to be the first feminist writer of Canadian literature and an advocate of women’s rights and equality. However, as a feminist writer, her specialty lies in the fact that she presents a strong and fighting type of woman in her literary works, even in her fairy tales. In his works, we see a number of allegorical figures, fairy-tale and unreal objects, and animals, which, however, mostly symbolize a woman and her essence. Having feminist ideology in her literary works, the Canadian author M. Atwood refers to dreams and their thematic features in her stories, with which the author tends to see them as visions realized in the future. His literary works are considered to be among the best legacies of Canadian literature, which have left a profound and fundamental impact not only on Canadian but also on world literature. Also, the author pays special attention to human relationships, based on which he wants to see mutual respect and devotion.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.040 | 0.027 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".