Heroes, Monsters, Freedom and Bondage: Inclusion, Exclusion and Autonomy in Une tempete, Jane Eyre and Wide Sargasso Sea
Bibliographic record
Abstract
In the same decade that Martinican poet Aime Cesaire resurrected the dark, misshapen Caliban from Shakespeare’s The Tempest as the hero of his provocative adaptation for a black theater Une tempete (1969), Dominican writer Jean Rhys resuscitated the raving madwoman from Bronte’s Jane Eyre as the heroine of her haunting novel Wide Sargasso Sea (1966). Concomitantly, as did slave narratives and female gothic novels, they demonized the European patriarch as they “dramatiz[ed] the evils that result from human beings whose passion for power is focused not on power over self but on power over others,” to reiterate Kari J. Winter’s observation.... Charlotte Bronte, who also explores the nature of the patriarchal relationship, does so through the ordering of her narrative in Jane Eyre around a figurative slavery. We will find that whereas the European patriarch is a necessary component of her heroine’s attainment of sexual equality in Victorian England, he remains eccentric to the Caribbean worlds that Cesaire and Rhys present. Despite the difference in the role that they represent European man as playing in the more equitable worlds that they propose, the three texts come to the tacit understanding that his inclusion is contingent upon his willingness to relinquish his traditional role as master of his own destiny and that of others.
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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 | 0.002 | 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 | 0.018 | 0.036 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".