The Wordsworth-Coleridge Association Call for Papers
Bibliographic record
Abstract
Previous articleNext article FreeThe Wordsworth-Coleridge Association Call for Papers Modern Language Association Convention, Toronto, January 7–10, 2021Full TextPDF Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinked InRedditEmailQR Code SectionsMoreThe Wordsworth-Coleridge Association is an Allied Organization of the Modern Language Association that meets annually during the MLA Convention. Along with an annual festive lunch, the Wordsworth-Coleridge Association is allowed to propose up to two scholarly sessions. For the MLA Convention in Toronto, proposals are invited on the following topic.Romanticism and Wilderness. Wilderness is a foundational concept for engaging and critiquing human relationships within the natural world, particularly as it pertains to British and European Romanticism as well as North American Romanticism. Proposals for papers should examine the idea of wilderness in Romantic-era literature and science from any geographic region. Papers may also examine the relevance of Romantic concepts of wilderness to contemporary concerns about the environment and climate change. Writers like Frank Popper and George Monbiot have kindled interest in rewilding such areas as the Great Plains and the English Lake District, and this panel may also explore Romantic analogues of rewilding, especially in the context of enclosure, depopulation, and emigration.Submit abstracts (maximum 300 words) by March 15, 2020, to James McKusick ([email protected]). The MLA requires (in addition to an abstract) a brief biographical statement (circa 300 words), written in the third person, including the presenter’s name, title, affiliation, final degree institution and date, scholarly interests, and publications. Particularly relevant are scholarship and publications that directly relate to the proposed session topic. Please include some persuasive points about the importance, significance, and contribution of the proposed presentation and any previous work you have done relating to the session topic.All MLA program participants must be members of the Modern Language Association by April 1, 2020. For information on the MLA Convention: http://www.mla.org/convention.All subscribers to The Wordsworth Circle are members of the Wordsworth-Coleridge Association. Essays selected for presentation at MLA will be considered for publication in The Wordsworth Circle. Please address any questions and comments to:Dean James McKusickHonors CollegeUniversity of Missouri–Kansas City5030 Cherry StreetKansas City, MO 64110Email: [email protected] Previous articleNext article DetailsFiguresReferencesCited by The Wordsworth Circle Volume 50, Number 4Fall 2019 Article DOIhttps://doi.org/10.1086/707806 Views: 75 © 2019 by The University of Chicago. All rights reserved. Crossref reports no articles citing this article.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.015 | 0.007 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.903 | 0.879 |
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".