Caroline Gonda in Conversation with Helena Whitbread
Bibliographic record
Abstract
As an archive, the Anne Lister diaries are an extraordinary tale of survival, in that the diaries came close to being destroyed and their coded content was kept hidden until Helena Whitbread, an independent scholar from Halifax, published the first coded extracts with Virago Press in 1988. Gonda’s interview follows Whitbread’s journey of discovery into the coded sections of the diaries and the laborious process of decrypting the diaries by hand, before computers had become generally available. As Whitbread delved deeper into the Lister archive, her sense of its importance increased exponentially and she began to understand the need to have coded extracts from the diaries published as a book available to the public. Whitbread then published a second volume of extracts in 1992 and she discusses what made her decide to focus on Lister’s intimate relationships in the vast five-million-word archive available to her. Currently working on an Anne Lister biography, Whitbread shares her own affective relationship with the Lister diaries over the years and responds to the unprecedented fame Lister has achieved in part as a result of the Gentleman Jack series. This has included key transformations in Whitbread’s own public life as one of the founders of Lister scholarship.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.031 | 0.009 |
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".