The Routledge Reader in Gender and Performance
Bibliographic record
Abstract
Fiona Shaw, Katharine Cockin, The Open University, UK, Lisa Jardine, Queen Mary and Westfield College, UK, Elaine Aston, University of Loughborough, UK, Penny Gay University of Sydney, Australia, Jean E. Howard, Columbia University, USA, Gerry Harris, University of Lancaster, UK, Elizabeth Howe, Ellen Donkin, Hampshire College, USA, Tracy C. Davis, Northwestern University, USA, Viv Gardner, University of Manchester, UK, Maggie Gale, Birmingham University, UK, Susan Bassnett, University of Warwick, UK, Julie Holledge, Flinders University of South Australia, Caroline Gardiner, City University, London, UK, Jennie Long, Sarah Werner, University of Pennsylvania, UK, Linda Fitzsimmons, University of Bristol, UK, Alison Oddey, University of Kent, UK, Carole Woddis, Susan Melrose, Central School of Speech and Drama, UK, Gayle Austin, Georgia State University, USA, Sue-Ellen Case, University of California, Riverside, USA, Barbara Smith, Sandra L. Richards, Northwestern University, USA, Lesley Ferris, Ohio State University, USA, Michelene Wandor, Marjorie Garber, Harvard University, USA, Gail Finney, University of California, Davis, USA, Claire McDonald, DeMontfort University, UK, Charlotte Canning, University of Texas, Austin, USA, Kirsten F. Nigro, University of Cincinnati, USA, Vera Shamina, Kazan University, Russia, Miki Flockemann, University of the Western Cape, South Africa, Peta Tait, La Trobe University, Australia, Janet Adshead-Lansdale, University of Surrey, UK, Jeanie K. Forte, Jane Wolff, University of Rochester, USA, Alexandra Carter, Middlesex University, UK, Mandakranta Bose, University of British Columbia, Canada, Moe Meyer, Art Center College of Design, Pasadena, USA, Mick Wallis, Loughborough University, UK, Susan Bennett, University of Calgary, Canada, Laura Mulvey, British Film Institute, UK, Teresa de Lauretis, University of California, Santa Cruz, USA, Judith Butler, University of California, Berkeley, USA, Jill Dolan, CUNY, USA, Stephen Regan The Open University, UK, Susan Kozel, University of Surrey, UK, Lois Weaver, College of William and Mary, USA
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.020 | 0.013 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.109 | 0.048 |
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".