Bibliographic record
Abstract
Margaret Atwood enjoys a unique prominence in Canadian letters. With over thirty books to her credit, in genres ranging from children's writing to dystopic novels, she is as creatively diverse as she is internationally acclaimed. Her success, however, has been double-edged: the very popularity that makes her such a prominent figure in the literary world also renders her vulnerable to claims of being a 'sell-out', as she relates in her Empson lectures. Open Eye negotiates the space between these positions, acknowledging Atwood's remarkable achievement while considering how it impacts on national politics and identity. The range of perspectives in this volume is stimulating and enlightening. Open Eye begins with a focus on Atwood as she presents herself and is presented in Canada and abroad, and then proceeds to consider, more broadly, the intersection of life and literature that Atwood's works and persona effect. It offers fresh insight into Atwood's early writing, redresses the critical void regarding her poetry and shorter prose pieces, and provides a critical base from which readers can assess Atwood's most recent novels. A common thread throughout these essays is the recognition of Atwood's importance in the literary realm in general, and in Canadian literature more particularly.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.006 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".