Bibliographic record
Abstract
Abstract: Margaret Atwood was born in 1939 in Ottawa, Ontario. When she was seven years old, her family moved to Toronto. Her father, an entomologist and professor of zoology, studied tree-dwelling insects. Atwood's passion for Canada's wilderness is present in most of her writings. Atwood is famous for the outspoken feminism in her books. From her first novel, The Edible Woman, to the dark masterpiece, The Handmaid's Tale (1985), which cemented her international reputation, Atwood demonstrated deeply concerned with the constraints society places on women and the facades they adopt in response. . The Handmaid's Tale, which Atwood refuses to call "science fiction", depicts a society in which women are stripped of all rights except those to marry, run a household, and reproduce. After The Handmaid's Tale made Atwood an international celebrity, she wrote a series of novels dealing with relationships between women, including Cat's Eye (1988) and The Robber Bride (1993). In 1992, she published Good Bones, short, witty articles about women's body parts and the limitations that have been placed on them throughout history. Atwood explores the historical role of women in other works including her famous poetry collections, the Journals of Susanna Moodie (1970) and her novel Alias Grace (1996). Both recreate the lives of famous feminism women in Canadian history.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.039 | 0.005 |
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".