Shakespeare our contemporary in 2016: Margaret Atwood's rewriting of "The Tempest" in "Hag-Seed"
Bibliographic record
Abstract
Margaret Atwood’s novel Hag-Seed (2016) is a retelling of The Tempest that transfers the actions from the magic island of the original play to presentday Canada: the avant-garde artistic director of a Shakespearean Festival is ousted from his job by his more world-savvy deputy, lives in isolation for twelve years and plots his revenge, which will involve a staging of The Tempest at the local prison where he has been teaching for some time as Mr Duke. Hag-Seed is part of a larger project of fictional retellings of the Bard’s plays conceived by Hogarth Press for the commemoration of the 400th anniversary of his death, a moment when Shakespeare’s cultural capital seems to be circulating more energetically than ever. The present article analyses Hag-Seed as a neo-Shakespearean novel that is original in the double sense of the term that Atwood’s teacher Northrop Frye so frequently remarked: imaginative, innovative, and inventive but also true to its fountain and origins.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".