Knowing Love: The Epistemology of Clarissa
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
My essay focuses on the eighteenth-century gender revolution, in particular, how the obsessive retelling of seduction narratives provided contesting narratives for knowing love. Love's plot changes with the emergence of bourgeois ideology, a change which many feminist scholars interpret as negative for women. In doing so, scholars read late eighteenth-century seduction narratives as always already reflecting the nineteenth-century ideal of passive desexed femininity. My essay focuses on Samuel Richardson's paradigmatic novel Clarissa in order to demonstrate that Clarissa's multiple narratives provide contesting epistemologies. Clarissa shows that the ideal of passive femininity was not the only and inevitable outcome of the gender revolution and that the multiple plots in the novel reflect the heterogeneous terrain for knowing love in the mid-eighteenth century.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it