Bibliographic record
Abstract
Anna Larpent (1758-1832) is a crucial figure in theater history and the reception of Shakespeare since drama was a central part of her life. Larpent was a meticulous diarist: the Huntington Library holds seventeen volumes of her journal covering the period 1773-1830. These diaries shed significant light on the part Shakespeare played in her life and contain her detailed opinions of his works as she experienced them both on the page and on the stage in late eighteenth- and early nineteenth-century London. Larpent experienced Shakespeare’s works in a variety of forms: she sees Shakespeare’s plays performed, both professionally and by amateurs; she reads his works and hears them read aloud by her husband and sons; she studies criticism of Shakespeare and records her reflections on it; she notes in her reading of contemporary writers when she feels they have been influenced by Shakespeare; she compares Shakespeare’s plays with those of the pre-eminent French dramatist Voltaire; she reflects on various elements of Shakespeare’s dramaturgy, such as his use of the supernatural; and she invokes Shakespeare in her ideas about education. This article has two aims. Firstly, an analysis of Larpent’s engagement with Shakespeare demonstrates just how much the dramatist’s works permeated the life of bourgeois woman of the period. Secondly, I explore how this deep interest in Shakespeare, which was not in itself altogether unusual, enabled Larpent to take on a less conventional role, that of censor. As the wife of the Examiner of Plays, Larpent influenced the licensing of drama for the London stage.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".