<i>From Anne Lister to</i> Gentleman Jack<i>: Queer Temporality, Fandom and the Gains and Losses of Adaptation</i>
Bibliographic record
Abstract
Through a reading of the fanbase response to Sally Wainwright’s 2019 BBC/HBO adaptation of the Anne Lister diaries, Gentleman Jack , this chapter asks the following questions: what is at stake in bringing the diaries to the screen, and how does the process of adaptation queer time? In the case of Gentleman Jack , many fans will have experienced the adaptation as the original . With her glamorous androgynous wardrobe, her butch walk and her seductive presence, Suranne Jones’s Gentleman Jack not only rewrites history for a contemporary audience, but also queers our temporal relationship to the past. This chapter analyses how the fans’ intensive affective response to Gentleman Jack - variously described as a form of community building, of self-discovery, and of mourning and loss - merges the fictional and the original archive in productive ways. In this dialogue between the present and the past, the Lister archive continues to forge a queer trajectory that highlights the losses and gains of an occluded and rediscovered queer history. Wainwright’s refashioning of the Lister diaries for today’s television audience has in fact led us back to the ‘phenomenon’ that Lister was in her own time and to a new understanding of the importance of Lister for today.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".