Bibliographic record
Abstract
This Introduction highlights the importance of this collection - the first of its kind - for showcasing the paradigm-shifting quality of the Anne Lister archive. It describes Lister’s growing importance to a range of disciplines that include the history of sexuality, women’s and gender studies, literary studies, life writing and travel writing. It outlines how Lister’s transgression of gender and sexual boundaries not only marked and shaped every aspect of her lived experience, but also has challenged our understanding of the evolution of sexual and gendered narratives up to the present. Decoding Anne Lister includes interviews and essays on Lister’s queer sexuality and gender variance, her role as a diarist, her pushing of gender barriers through her involvement in local politics and in the managing of her Shibden Hall estate, her adventurous and at times gender-defying travels through Britain, Europe and the Russian Caucasus, and on the highly successful adaptation of the Lister diaries into the BBC/HBO series, Gentleman Jack . Each chapter shows how the Lister diaries have helped to reconfigure the more traditional trajectories of nineteenth-century histories of gender and sexuality, and of social and political life.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.437 | 0.248 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".