Bibliographic record
Abstract
December 01 2016 “Hero Strong” and Other Stories: Tales of Girlhood Ambition, Female Masculinity, and Women's Worldly Achievement in Antebellum America “Hero Strong” and Other Stories: Tales of Girlhood Ambition, Female Masculinity, and Women's Worldly Achievement in Antebellum America. By Mary F. W.Gibson. Edited by Daniel A.Cohen. (Knoxville: University of Tennessee Press, 2014. Pp. xix, 172. $69.00.) Miranda A. Green-Barteet Miranda A. Green-Barteet Miranda A. Green-Barteet is an assistant professor, cross-appointed in the departments of women's studies and English and writing studies, at the University of Western Ontario. She has published on Harriet Jacobs, Sarah Pogson, and constructions of girlhood in young adult dystopian fiction.. Search for other works by this author on: This Site Google Scholar Author and Article Information Miranda A. Green-Barteet Miranda A. Green-Barteet is an assistant professor, cross-appointed in the departments of women's studies and English and writing studies, at the University of Western Ontario. She has published on Harriet Jacobs, Sarah Pogson, and constructions of girlhood in young adult dystopian fiction.. Online Issn: 1937-2213 Print Issn: 0028-4866 © 2016 by The New England Quarterly2016Massachusetts Institute of Technology The New England Quarterly (2016) 89 (4): 681–685. https://doi.org/10.1162/TNEQ_r_00573 Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn MailTo Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Miranda A. Green-Barteet; “Hero Strong” and Other Stories: Tales of Girlhood Ambition, Female Masculinity, and Women's Worldly Achievement in Antebellum America. The New England Quarterly 2016; 89 (4): 681–685. doi: https://doi.org/10.1162/TNEQ_r_00573 Download citation file: Ris (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 All ContentAll JournalsThe New England Quarterly Search Advanced Search This content is only available as a PDF. © 2016 by The New England Quarterly2016Massachusetts Institute of Technology Article PDF first page preview Close Modal 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.600 | 0.567 |
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".