Bibliographic record
Abstract
In Jane Austen’s epistolary novella Lady Susan, Frederica appears through the biased descriptions of the letters that other characters write. However, in Letter 21, the only letter Frederica writes in the novella, she can explain herself in her own words. As Frederica tries to convince Reginald De Courcy to intervene in Lady Susan’s arranged marriage between Frederica and Sir James Martin, this letter is the closest access to Frederica’s true character in the text and therefore can serve as a basis of evidence for comparison between Frederica’s character and Lady Susan herself. Scholars often assume that Frederica’s qualities and outcomes simply oppose those of her mother. I wish to argue that Frederica takes after her “wicked” mother more than these scholars, and even Lady Susan herself realize. While Lady Susan disregards morality by engaging with its language, she indirectly mothers Frederica to become her likeness by disengaging with her role of motherhood or engaging with it in subversive ways. Lady Susan passes on her qualities to her daughter, who begins to write and use language to affect her fate, despite her mother’s ignorance that she does so. Lady Susan therefore indirectly gives her daughter the tools to achieve her desires within the novella’s social economy, despite how these desires conflict with Lady Susan’s own.
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 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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.062 | 0.010 |
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".