Following Bradshaw and Bishop into<i>Jacob’s Room</i>: British and Canadian editing strategies (tunnelling the textual hotspots, minding the gaps)
Bibliographic record
Abstract
The pioneering editorial practices of Canadian Professor Edward Bishop and the late Professor David Bradshaw offer distinct but complementary approaches to annotating Woolf’s Jacob’s Room (1922). Bishop, editors of the Shakespeare Head edition of the novel and of a transcription of the holograph draft, has gifted new modernist editing the hugely influential, crucial instruction “Mind the gap!,” urging close attention to Woolf’s spacing and lay-out of the material page as important literary signifiers. “Mind the word!” might well be the riposte of Bradshaw (1955–2016) who has left a body of scholarship pressing for close critical attention to every passing cultural, material reference, not least in the numerous proper names of people, places, etc., populating this highly allusive, densely palimpsestic text. Building on Bradshaw’s critical technique and research into the onomastics and Bishop’s editorial insights into the spaces and gaps in Jacob’s Room, this essay explores some of my findings whilst working as an editor and annotator of the work for the forthcoming Cambridge UP edition. “tunnelling,” as Woolf herself called it, into the signifying networks behind her writing, to consider questions of paternity, war and national identity that hang over Jacob’s Room: “‘Did you ever hear who his father was?’”
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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 | 0.006 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.047 | 0.037 |
| Scholarly communication | 0.021 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".