“The Walls of Her Prison”: Madness, Gender, and Discursive Agency in Eliza Fenwick's<i>Secresy</i>and Mary Wollstonecraft's<i>The Wrongs of Woman</i>
Bibliographic record
Abstract
The female protagonists of Eliza Fenwick's Secresy and Mary Wollstonecraft's The Wrongs of Woman are located on the margins of madness, exploring the space between psychological disorder and reason. Both novels radically challenge eighteenth-century gendered discourses of madness and the accompanying institutions that sequester and silence women. However, while Fenwick and Wollstonecraft work to undermine gendered constructions of madness, they nonetheless remain bound to the discursive limits that divide madness and reason irreparably. Together, Secresy and The Wrongs of Woman indicate the pervasiveness of eighteenth-century discourses of madness, as both novels are finally unable to subvert the assumptions underlying these discourses, continuing to associate the feminine with unreason and madness with the inarticulate and incomprehensible.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.019 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".