Bibliographic record
Abstract
Introduction Talia Schaffer (bio) This roundtable began as a Zoom event on 17 May 2022, bringing together a diverse group of scholars who share an interest in Women Novelists of Queen Victoria’s Reign: A Book of Appreciations (1897), hereafter WNQVR, a volume of collective work by nine critics published in 1897. Our participants come from the US, Canada, and Italy; some have never met, and some work together daily at the University of Virginia Scholars’ Lab; some are senior faculty, some are adjunct faculty, and some are graduate students; some are lifelong Victorianist scholars and some work in other fields, including early American literature and digital humanities. We came to this volume through invitations, accidental discoveries, and word-of-mouth recommendations. We came to this roundtable through coincidental meetings, mentoring relationships, local connections, and global outreach. Like the WNQVR authors’ collective, our group testifies to the social, geographical, and material ties that make it possible, and that the articles in this cluster work to reveal. [End Page 1] Talia Schaffer Graduate Center, CUNY and Queens College, CUNY Talia Schaffer Talia Schaffer (talia.schaffer65@login.cuny.edu) is a professor of English at Queens College, CUNY and the Graduate Center, CUNY. She is the author of Communities of Care: The Social Ethics of Victorian Fiction (Princeton UP, 2021), Romance’s Rival (Oxford UP, 2016), Novel Craft (Oxford UP, 2011), and The Forgotten Female Aesthetes (U of Virginia P, 2000), along with several edited collections. Copyright © 2023 The Trustees of Indiana University
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.661 | 0.476 |
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".