(Un)Editing with (Non-)Fictional Bodies: Pope’s Daggers
Bibliographic record
Abstract
(Un)editing with non-fictional bodies turns to debates around ‘theatricality’ to unmake and remake the playtext and decentre the fixity of the script. 1 The occasion for this attempt or chapter is the recent attention being paid to the two manuscript versions of The Humorous Magistrate which has led us to think through the implications of editing, unediting and (un)editing for a text that has never before been edited, and at the same time, to bring to scholarly editing the impact of a complex and sophisticated understanding of the theatre. The two versions of the play, The Humorous Magistrate , are found in Arbury Hall A414, Warwickshire, and Osborne MsC 132.27, University of Calgary Special Collections. 2 Dating from the early seventeenth-century, the two versions represent distinct stages in the composition of the play: the Arbury manuscript presents a heavily worked over and revised early version of the play, and the Osborne presents a more polished presentation copy and incorporates many of the revisions witnessed in the Arbury (and some other revisions, as well). The play itself is a five-act romantic comedy set in rural England, featuring a corrupt Justice Thrifty, his daughter and her suitor, and several other comic characters who explore the themes of love, loyalty, and familial and marital duty.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.016 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 0.007 |
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".