Rethinking Gender and Virtue through Richardson's Domestic Accounting
Bibliographic record
Abstract
A formal approach to the history of the novel is illuminative when form itself becomes a marker of virtue, a term at the heart of the so-called “Pamela controversy,” whose respondents doubt the virtue of Pamela's accounts. Analyzing the ways in which Samuel Richardson uses the formal components of the account in Pamela helps us to understand just what is at stake in the Pamela controversy. The changes Richardson makes in Clarissa, including proliferating points of view in order to help the reader to trust Clarissa's account and also showing by external means that Clarissa holds herself accountable to her account, reveal a necessary fictional supplement to accounting. This technique resembles strategies that the Bank of England uses, such as its architectural layout, to help the public trust the soundness of its own accounting mechanisms. In this way, formal analysis of Pamela and Clarissa reveals an important link between the rise of public credit and the rise of the novel.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".