“Secrets of the Heart”: Emotion, Narration, and Imaginary Minds in <i>Hard Times</i> and <i>Mary Barton</i>
Bibliographic record
Abstract
Research Article| March 01 2010 “Secrets of the Heart”: Emotion, Narration, and Imaginary Minds in Hard Times and Mary Barton Jill L. Matus Jill L. Matus University of Toronto jill.matus@utoronto.ca Jill Matus is professor of English at the University of Toronto. Her research focuses mainly on Victorian literature and culture, especially the relations of Victorian fiction to medical and psychological writing of the period. She is the author of Unstable Bodies: Victorian Representations of Sexuality and Maternity (Manchester University Press, 1995), Toni Morrison (Manchester University Press, 1998) and Shock, Memory, and the Unconscious in Victorian Fiction, (Cambridge University Press, 2009), as well as editor of The Cambridge Companion to Elizabeth Gaskell (2007). Essays on Dickens, the Brontës, George Eliot, Gaskell and others have appeared in such journals as Victorian Studies, Victorian Literature and Culture, Nineteenth-Century Contexts, Literature Compass, and Journal of the History of Sexuality. Search for other works by this author on: This Site Google English Language Notes (2010) 48 (1): 11–25. https://doi.org/10.1215/00138282-48.1.11 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Jill L. Matus; “Secrets of the Heart”: Emotion, Narration, and Imaginary Minds in Hard Times and Mary Barton. English Language Notes 1 March 2010; 48 (1): 11–25. doi: https://doi.org/10.1215/00138282-48.1.11 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search Books & JournalsAll JournalsEnglish Language Notes Search Advanced Search The text of this article is only available as a PDF. Copyright © 2010 Regents of the University of Colorado2010 Article PDF first page preview Close Modal Issue Section: I. The Politics of Affect You do not currently have access to this content.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.026 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".