Margaret Atwood’s <i>Hag-Seed:</i> The Aesthetics of Retelling Shakespeare’s <i>The Tempest</i>
Bibliographic record
Abstract
Comparing Hag-Seed with The Tempest, this article tries to disclose how Margaret Atwood shifts and extends perspectives in her novel by empowering the female voice in Hag-Seed. In contrast to Shakespeare’s original and many of its postcolonial successors, the latter of which have sustainably promoted a political reading of the Bard’s play, Hag-Seed, for instance, offers a treatment of Miranda that reverses the role of Prospero’s daughter from a passive to an influential “active” character who has a decisive say in many of her father’s doings. In a similar vein, other female voices in the novel come to the fore. These observations are accompanied by brief intertextual references to a painting by William Hogarth, created circa 1736, and Peter Greenaway’s film Prospero’s Books, released in 1991. The article shows how aesthetic forms of expression and political rhetoric are interlinked, especially how aesthetic and (gender-)political values interplay.
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) | 0.001 | 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".