“Romantic Realism/Victorian Romance”: An Introduction to Four Provocations
Bibliographic record
Abstract
Might we, Romanticists and Victorianists, be or become one people? This cluster of essays, by Ian Duncan, Mary Favret, Catherine Robson, and Herbert Tucker, addresses longstanding and emergent cruxes in our collective scholarship, including questions of periodization, mediality, trans/nationality, genre, and mode. “Romance” and “realism” provide two provoking terms for thought. An introduction, by Elaine Freedgood and N. Maureen McLane, lays out axes of categorization, questions for pedagogy and the profession as well as intellectual and disciplinary genealogies. Duncan notes the insufficiency of such terms as “long nineteenth century” and proposes Walter Scott as one figure who teaches us how to think period as well as realism and romance; Favret addresses the romantic lecture and its current resonance in the age of MOOCs; Robson explores the nature of Victorian reading, and directions for Victorianist readings; Tucker meditates on the status of desire and marriage plots—Romantic and Victorian “conjugalities.”
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".