The Enlightenment Feminist Project of Lucy Aikin's <i>Epistles on Women</i> (1810)
Bibliographic record
Abstract
The nineteenth-century British historian Lucy Aikin's ambitious four-part poem Epistles on Women (1810) marks both her first important contribution to women's historiography and a compelling example of Enlightenment feminist historiography. To some extent, Aikin is building on the work of male Enlightenment historians who had evaluated the status of women in different times and places and correlated it to social progress. However, she not only restricts her focus exclusively to women, but also makes a concerted effort to resolve some of the tensions apparent in previous accounts of the relationship between women and social progress. Especially striking is her mediation of two distinct historical models of femininity, which I have called the republican and commercial models of femininity, the outlines of both of which we can trace in the work of male Enlightenment historians. By suggesting that through proper education women might combine the best aspects of each model, Aikin strategically advances the project of controversial feminists like Catherine Macaulay and Mary Wollstonecraft, who had taken inspiration from the republican model of femininity in their demands for improvements to female education.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".