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
The secret history, a genre of writing made popular as opposition political propaganda during the reign of Charles ii, has been the subject of renewed critical interest in recent years. By the mid-1740s, novelists were using markers of secret histories on the title pages of their works, thus blurring the genres. This forgotten history of the secret history can help us understand why Ian Watt and other twentieth-century critics tended to end their narratives of the rise of the “realist” Whig novel with the works of the Tory novelist Jane Austen. In particular, the blended narrative perspective that Watt praises in Austen’s novels—in which the author balances a realism of presentation with a realism of assessment—may stem in part from the layers of narrative framing deployed in secret histories to shield the author from prosecution for libel. The opposition and Tory secret historians that Watt excludes from his Whiggish triple-rise theory may have contributed to the complex narratological perspective that he identifies as the culmination of the novel’s formal emergence.
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.
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 | 0.001 |
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 it