“He bears no rival near the throne”: Male Narcissism and Early Feminism in the Works of Charlotte Dacre
Bibliographic record
Abstract
For many critics, Charlotte Dacre is an essentially conservative author, whose female villains ventriloquize and thereby discredit early feminist thought. This essay disputes such readings by exploring her under-acknowledged criticisms of patriarchy. Dacre’s male characters are self-important narcissists, who disdain female education for the agency it gives women. If a woman is well-educated, she is less likely to submit, less likely to serve as an extension of her husband’s will alone. Patriarchy also encourages women to turn on one another, Dacre argues; her female villains uniformly value advancement among men over sisterhood, and they willingly destroy other women to attain their own ends. Dacre thus takes a pessimistic approach to women’s options at the beginning of the nineteenth century. Her female characters do not enjoy happy endings, regardless of marital status, level of education, or morality, because patriarchal systems are designed to crush women no matter how they behave. Far from mocking early feminism, then, Dacre criticizes it for being insufficiently radical in addressing problems with male behaviour.
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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".