"What to do with so much sorrow?". Art and the Purpose of Revenge in Margaret Atwood's Hag-Seed
Bibliographic record
Abstract
Margaret Atwood's Hag-Seed is a postmodern, post-Christian reinterpretation of Shakespeare's Tempest, staging Felix Phillips as Prospero in the context of 21st century Canada. The nature of Prospero's morality has been an important subject in academic discussion, which can broadly be categorised into "the Artist" and "the Avenger". Atwood's allocation of Felix as an avenger and principle agent of his profane purpose, which entails a metafictional, druginfused production of The Tempest to cause his enemies to suffer in retaliation, provides reflections on the nature of revenge and morality in our current society. Furthermore, Felix's narrative incorporates two backstories which unfold the origin of his thirst for vengeance: his termination as Artistic Director ensued the traumatic loss of his wife and daughter. Felix will undergo a journey of healing through his artistic creativity culminating in his ability to face his grief and, ultimately, forgive himself. Therefore, in this present-day interpretation of The Tempest, art replaces the supernatural power to restore justice and grant absolution to its characters.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.034 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".