Bibliographic record
Abstract
What happens when feminist and queer care ethics are put into curating practice? What happens when the notion of care based on the politics of relatedness, interdependence, reciprocity, and response-ability informs the practices of curating? Delivered through critical theoretical essays, practice-informed case studies, and manifestos, the essays in this book offer insights from diverse contexts and geographies. These texts examine a year-long program at the Schwules Museum Berlin focused on the perspectives of women, lesbian, inter, non-binary, and trans people at the Schwules Museum; the formation of the Queer Trans Intersex People of Colour Narratives Collective in Brighton; Métis Kitchen Table Talks, organized around indigenous knowledge practices in Canada; complex navigations of motherhood and censorship in China; the rethinking of institutions together with First Nations artists in Melbourne; the reanimation of collectivity in immigrant and diasporic contexts in welfare state spaces in Vienna and Stockholm; struggles against Japanese vagina censorship; and an imagined museum of care for Rojava. Strategies include cripping and decolonizing as well as emergent forms of digital caring labor, including curating, hacking, and organizing online drag parties for pandemic times. With contributions by Edna Bonhomme, Birgit Bosold, Imayna Caceres, Pêdra Costa, COVEN BERLIN, Nika Dubrovsky, Lena Fritsch, Vanessa Gravenor, Julia Hartmann, Hitomi Hasegawa, Vera Hofmann, Hana Janečková, k\are (Agnieszka Habraschka and Mia von Matt), Gilly Karjevsky, Elke Krasny, Chantal Küng, Sophie Lingg, Claudia Lomoschitz, Cathy Mattes, Elizaveta Mhaili, Jelena Micić, Carlota Mir, Fabio Otti, Ven Paldano, Nataša Petrešin-Bachelez, Nina Prader, Lesia Prokopenko, Patricia J. Reis, Elif Sarican, Rosario Talevi, Amelia Wallin, Verena Melgarejo Weinandt, Stefanie Wuschitz.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.541 | 0.236 |
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".