Emma Donoghue in Conversation with Sally Wainwright
Bibliographic record
Abstract
BAFTA-winning British television writer/director/producer Sally Wainwright is known for her commitment to telling women’s stories as well as to her home county of Yorkshire. She used to visit Anne Lister’s Shibden Hall as a child, and her twenty years of effort to bring a drama about Lister to the small screen - after being repeatedly turned down by those who saw it as unfilmable or niche - has finally paid off with the runaway success of the BBC/HBO’s Gentleman Jack , set in 1832 when Lister began courting Ann Walker. The two-season TV series is notable not just for how it draws on the whole corpus of the past four decades of Lister research - thoughtfully balancing accuracy against the requirements of family-friendly, prestige primetime drama - but for the way it has in turn nourished a new wave of scholarship. When Wainwright won the 2016 Wellcome Screenwriting Fellowship which is intended to buy a writer time and space to work, she generously funded the scanning and online publication of all 7,720 pages of Lister’s diaries by West Yorkshire Archive Service and Calderdale Museums, which has enabled the ongoing, crowdsourced transcription of this extraordinary corpus.
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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 | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.029 | 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".