Bibliographic record
Abstract
This chapter focuses on Atwood as a Canadian writer and the evolution of her global persona as an international literary celebrity, major thinker, and public spokesperson on global issues of environmentalism and ethical questions related to biotechnology and human rights. Illustrated by its generous inclusion of quotations from Atwood herself, the chapter traces her career development in three stages: “Mapping Her Canada” concentrates on when Atwood addresses fellow Canadians with her early poetry collections, notably Survival and Surfacing; “Interpreting Canada Abroad” reads Canadian themes through an increasingly internationalist lens, featuring The Handmaid’s Tale, The Journals of Susanna Moodie, three short story collections, Kanadian Kultcher Komics, and children’s stories; “Canada in the World” moves between Toronto in her three 1990s historical novels to her postapocalyptic dystopia, the MaddAddam trilogy, returning to Canada with Stone Mattress and Hag-Seed, then back to the United States with The Testaments.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.049 | 0.014 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.021 | 0.003 |
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".