MétaCan
Menu
Retour à la cohorte
Enregistrement W4391407830 · doi:10.1215/15314200-10872226

Contributors

2024· article· en· W4391407830 sur OpenAlexaboutno aff

Notice bibliographique

RevuePedagogy Critical Approaches to Teaching Literature Language Composition and Culture · 2024
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueEducational Reforms and Innovations
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPsychology

Résumé

récupéré en direct d'OpenAlex

Vivian Kao is associate professor of English and director of the first-year composition program at Lawrence Technological University. She teaches courses in writing, literature, film, and the intersection of technology and the humanities. Her courses often feature multimodal assignments that challenge students to think about composition as activity, experiment, and craft. Her other publications include an account of students exploring essay form by building three-dimensional structures, and a forthcoming visual essay on virtual museum exhibits created in response to modernist literary texts.Jessica Masterson is assistant professor at Washington State University Vancouver, where her research concerns the intersections of language, literacy, and democratic teacher education.Sarah Moon is assistant professor of humanities at Massachusetts Maritime Academy, where she teaches composition, writing about literature, environmental writing, and American theater. Her scholarly work has been published in Community Literacy Journal, Literacy in Composition Studies, Journal of Multimodal Rhetorics, and Center for Sustainable Practices in the Arts Quarterly. A playwright, she was the 2023 artist in residence for Eastern Connecticut Center for History, Art, and Performance, where she developed the original full-length drama Apostates.Molly Parsons earned her PhD in English and education at the University of Michigan. She is currently assistant director of the Center for Research and Writing at Keene State College, where she has the privilege of learning alongside talented undergraduate tutors. Her research interests include the ethics of writing center practice, grammar instruction for tutors, and, presently, the implications of artificial intelligence for tutoring and teaching. Find her other work in Praxis: A Writing Center Journal, Writing Lab Newsletter, and Another Word, a blog from the University of Wisconsin-Madison's writing center.Kevin Piper teaches literature and composition at Madison College and is an honorary fellow at the University of Wisconsin-Madison, where he received his PhD. His recent work looks at how teachers can use student feedback to improve their practice. His literary scholarship has spanned a wide range of areas, including ethnic and Indigenous literatures, postsecular literature, and literary modernisms. He can be reached at kcpiper@madisoncollege.edu.Malini Johar Schueller is professor in the Department of English at the University of Florida. She has been the faculty advisor for Students for Justice in Palestine on her campus for many years and is a member of the organizing collective for the US Campaign for the Academic and Cultural Boycott of Israel. She is the author of several books, including U.S. Orientalisms: Race, Nation, and Gender in Literature, 1790–1890 (1998), Locating Race: Global Sites of Post-Colonial Citizenship (2009), and Campaigns of Knowledge: U.S. Pedagogies of Colonialism and Occupation in the Philippines and Japan (2019). She has coedited Exceptional State: Contemporary US Culture and the New Imperialism (2007) and Dangerous Professors: Academic Freedom and the National Security Campus (2009). She is the director of the award-winning documentary In His Own Home (2015) about police brutality and campus militarization. In 2019 she was selected to participate in a Faculty Development Seminar by the Palestinian American Research Council. Currently she is working on an essay collection, From Palestine to You. She teaches courses in comparative settler colonialism, including Palestine, and courses in postcolonial theory, Asian American studies, and US imperialism.Elina Siltanen was university lecturer at the Department of English, University of Turku at the time of writing this article, and now works at the University of Eastern Finland. Her research focuses on contemporary American poetry, more specifically on the role of affect in reading complex literary texts, and her article is a part of her research project “Difficult Relations: Reading for Emotion in Recent American Experimental Poetry.” Recently, she has published articles on the connections between conceptualism and confessionalism in poetry in the Journal of Modern Literature and on metamodernism and New Sincerity in English Studies. She has a double doctoral degree from the University of Turku and Luleå University of Technology.D. T. Spitzer-Hanks is an early-career researcher interested in critical composition studies and in transatlantic critical classical reception in the long nineteenth century, specifically in North America and the United Kingdom. Spitzer-Hanks is particularly interested in analyzing how patterns of communication and perception create social structures in which inequity is fostered and sustained and seeks to find ways to intervene in such processes both as a scholar and as a member of society. Trained in gender and ethnicity studies at the University of Utrecht in the Netherlands, Spitzer-Hanks earned a PhD in English studies from the University of Texas at Austin. In their private life, Spitzer-Hanks enjoys gardening, parenting, and running from their anxieties.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,913
Score d'incertitude au seuil0,443

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,031
Tête enseignante GPT0,323
Écart entre enseignants0,292 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revuePedagogy Critical Approaches to Teaching Literature Language Composition and CultureMême sujetEducational Reforms and InnovationsTravaux en français237 207