The Graveyards of Community Gathering: Archiving Lesbian and Feminist Life in London
Bibliographic record
Abstract
On a quiet afternoon in 2014 I visited the BFI in London and saw Killjoy’s Kastle. To be precise, I saw documentation of Killjoy’s Kastle as it had been figured in Toronto: a fabulous, immersive environment populated by queerly creepy characters that I recognised from my dreams, my nightmares and sometimes my reality. As I sat, fascinated by the film footage and photographs, I was surrounded by gravestones, carved with the names of lesbian and feminist organisations that had been taken away from this life too soon. I recognised some of them: the women’s bookshop where I had browsed for hours, the bars I had haunted as a younger person, the community space that had fallen prey to cuts in recent months. I sat in this creepy, campy graveyard, admiring the crotcheted cobwebs and writing about the undead vibrations of these communities that now existed in memory alone. This article attends to the potential of Killjoy’s Kastle as a space of learning and community gathering; picturing queer feminist pasts that often don’t make the history books. The experience of ‘afterness’ that the gravestones activated will be considered in relation to queer temporalities, and the remnants and revenants that were ready to be revived by the act of making and viewing this installation. Drawing on conversations with Nazmia Jamal, programmer of Killjoy’s Kastle at the BFI and head of the London gravestone creators, this article will see how the artwork can be imagined as a script or a stage ready to be taken up in the future to create feminist communities around its celebratory wakes. The focus will be on London-based feminist archives and institutions including the Lambeth Women’s Project and the Feminist Library.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 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".