Eighteenth-Century Literary Precursors of Mrs Warren's Profession
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
Bernard Shaw's Mrs Warren's Profession is almost solely discussed in terms of its portrayal of prostitution in relation to the theatre of its day. In this light, his work is defined as a decisive break with what came before it. But Shaw warned against this tendency to label literature that challenges contemporary norms as necessarily original. Instead, he called on his audience to recognize the cyclical nature of literature, noting that what is new to one generation is most often merely that which was discarded by the previous one. By adopting the longer view, this essay examines Mrs Warren's Profession alongside some well-known prostitute narratives of the eighteenth century to argue that while Shaw might have overturned one tradition, there is much to suggest that he concurrently tapped into another.
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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 | 0.000 | 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 | 0.000 | 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) | 0.001 | 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