Bibliographic record
Abstract
D " " is often taken as an insult: a dismissal of the book on the grounds that its primary, and possibly only, appeal is at the level of plot. But all fi ction attempts to appeal to its readers, and those readers should be tempted to turn the pages. In the case of Margaret Atwood's fi ction, however, readers are tempted to turn the pages both ways. Her fi ction urges fi rst-time readers forward, forward toward richly satisfying, if not entirely conclusive, moments of closure. But her fi ction also demands readers to turn backwards, to turn the pages in the other direction as well: to go back to read again and reassess in light of the new insights they have gleaned as they have read forward. ink, for instance, of the diff erence between a reader's fi rst encounter with Off red in e Handmaid's Tale and that same reader's return to the novel once s/he understands that Off red's story has been pieced together by the insidious Pieixoto.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".