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Record W4399484249 · doi:10.1215/03335372-11301586

Notes on Contributors

2024· article· en· W4399484249 on OpenAlexaboutno aff

Bibliographic record

VenuePoetics Today · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature and Cultural Memory
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryPhilosophy

Abstract

fetched live from OpenAlex

Charles Altieri retired in 2001 after fifty-three years of university teaching from the English Department of the University of California, Berkeley, where he loved virtually every minute, even some department meetings. He continues to do academic work. His book Literature, Education, Society, was published in 2022, and he is well into a book on a phenomenological approach to the nature of imaginative experience in the arts.Hannes Bajohr is assistant professor of German at the University of California, Berkeley. His research focuses on literature and the digital, the history of philosophy, and modern political thought. Currently, he is finishing a book on post-AI writing. Most recently, he has published Schreibenlassen: Texte zur Literatur im Digitalen (2022), a collection of essays on digital and conceptual literature, as well as Digitale Literatur zur Einführung (2024, with Simon Roloff), a textbook on digital literature. He also is the author of (Berlin, Miami) (2023), a novel cowritten with a self-trained large language model.Samuel Baker is an associate professor of English at the University of Texas at Austin, where he helps run the Good Systems Grand Challenge, dedicated to making artificial intelligence better for society. He has published a book, Written on the Water: British Romanticism and the Maritime Empire of Culture, and is currently working on a monograph about stewardship in the novels of Walter Scott, as well as on various projects involving human-robot interaction.Kurt Beals is visiting associate professor of German and Humanities Fellow in Literary Translation at the University of Richmond. His research focuses on experimental movements in twentieth-century and contemporary German literature, as well as media theory and translation. He is the author of Wireless Dada: Telegraphic Poetics in the Avant-Garde (2020) and articles about authors including Max Bense, Paul Celan, Ferdinand Kriwet, and Regina Ullmann. He has translated a wide range of works from German into English. His translation of Jenny Erpenbeck's speech and essay collection Kein Roman (Not a Novel) was included in World Literature Today's 75 Notable Translations of 2020. His new translation of Hermann Hesse's classic novel Steppenwolf was published in 2023.Eamon Duede is a postdoctoral fellow at Harvard University in the Digital, Data, and Design Institute, and in the Department of Philosophy's Embedded Ethics Program. His theoretical work focuses on the epistemology of emerging technologies, principally artificial intelligence. His empirical work uses computational approaches to investigate the roles that methods and institutions play in scientific discovery. He is also developing a number of papers concerned with generative AI and collective creativity, discovery, and knowledge.Katherine Elkins is professor of humanities and faculty in computing at Kenyon College and has published on authors ranging from Plato and Sappho to Woolf and Kafka. Recent work includes Philosophical Approaches to Proust's In Search of Lost Time (2022) and The Shapes of Stories (2022). A member of Meta's AI Innovation Research Group, she consults on AI implementation, regulation, and fairness and serves on several industry executive boards as an AI expert. She can also be heard talking about new AI developments in media outlets like Radio AI and Al Jazeera.Nir Evron is chair of the Department of English Literature and American Studies at Tel Aviv University. He is the author of The Blossom Which We Are: The Novel and the Transience of Cultural Worlds (2020), a comparative historical study of the trope of cultural extinction in the British, American, German, and Hebrew literary traditions. Among his more recent academic publications are articles on Edith Wharton, American regionalist writing, the crisis of the humanities, and Hannah Arendt. His recent public-facing writing has appeared in Dissent, Haaretz, and the Times of Israel.Ed Finn is the founding director of the Center for Science and the Imagination at Arizona State University where he is an associate professor in the School for the Future of Innovation in Society and the School of Arts, Media, and Engineering. His research explores imagination, futures, computational culture, and intersections of the humanities, arts, and sciences. He is author of What Algorithms Want: Imagination in the Age of Computing (2017) and coeditor of Imagining Transmedia (forthcoming in 2024), Future Tense Fiction (2019), Frankenstein: Annotated for Scientists, Engineers, and Creators of All Kinds (2017), and Hieroglyph: Stories and Visions for a Better Future (2014), among other books.Alexandre Gefen is directeur de recherche (research professor) at the Centre National de la Recherche Scientifique (CNRS) and a historian of ideas and literature. He is the author of numerous articles and essays on contemporary culture and literature and literary theory. He was one of the pioneers of digital humanities in France. He is the director of the Culturia IA research project, which focuses on the history and cultural issues of artificial intelligence. His latest books on the subject are La littérature, une infographie (2022), Créativités artificielles (2023), and Vivre avec ChatGPT (2023).N. Katherine Hayles is Distinguished Research Professor of English at the University of California, Los Angeles. Her forthcoming book, Bacteria to AI: Human Futures with Our Nonhuman Symbionts, will be published in 2024.Eric Hayot is Distinguished Professor of Comparative Literature and Asian Studies at Penn State University. He is the author of five books, including On Literary Worlds (2012), The Elements of Academic Style (2014), and Humanist Reason (2021). He is the cotranslator, with Lea Pao, of Peter Janich's What Is Information? (2019).Leah Henrickson is a lecturer in digital media and cultures at the University of Queensland. Her current research focuses on reader responses to computer-generated texts, social perceptions of artificial intelligence, and digital storytelling. She is the author of Reading Computer-Generated Texts (2021) and numerous articles about the hermeneutics of natural language generation.Matthew Kirschenbaum is Distinguished University Professor in the Department of English at the University of Maryland. He has published extensively on the literary history of word processing and other textual technologies, and he is currently completing a short book entitled Textpocalypse.Radhika Koul is assistant professor of literature and Mellon Emerging Scholar at Claremont McKenna College. Koul's research and teaching often probe the way literature and philosophy from South Asia emerge in conversations governed by an implicit Western logic, whether cognitive aesthetics, literary criticism, or education itself. Much of her recent work has been interdisciplinary, straddling contemporary research in neuroscience and artificial intelligence with the age-old study of how literature works on the human mind. In 2022 – 23, she was a graduate fellow with Stanford University's Institute for Human-Centered Artificial Intelligence (HAI). Koul earned her BA in literature from Yale University and two graduate degrees from Stanford: a PhD in comparative literature and an MS in symbolic systems, otherwise known as cognitive science.Hoyt Long is professor of Japanese literature and digital studies in the Department of East Asian Languages and Civilizations at the University of Chicago. His research and teaching interests include the history of media and communication in modern Japan, cultural analytics, platform studies, the sociology of literature, and book history. Recent publications have addressed topics such as online writing platforms, the streaming television industry, and machine translation. His latest monograph is The Values in Numbers: Reading Japanese Literature in a Global Information Age (2021).James Phelan, Distinguished University Professor of English at Ohio State University, has devoted his research to thinking through the consequences of conceiving of narrative as rhetoric. Since 1993 he has been the editor of Narrative and coeditor of the Theory and Interpretation of Narrative Series at the Ohio State University Press. His recent publications include Debating Rhetorical Narratology (2020, with Matthew Clark), the coedited volume Fictionality in Literature: Core Concepts Revisited (2022), Narrative Medicine: A Rhetorical Rx (2023), and Black Women's Stories of Everyday Racism: Narrative Analysis for Social Change (coauthored with Simone Drake, Robyn Warhol, and Lisa Zunshine, forthcoming). In 2021 Phelan received the Wayne C. Booth Lifetime Achievement Award from the International Society for the Study of Narrative.Rita Raley is professor of English at the University of California, Santa Barbara, and author of Tactical Media (2009). Her most recent work appears in Digital Humanities Quarterly, Post45, American Literature, ASAP/Journal, symplokē, and The Routledge Companion to Media and Risk. She has previously cowritten articles with Russell Samolsky for the Critical Inquiry Forum; Left Theory and the Alt-Right (2023); Understanding Flusser, Understanding Modernism (2021); and PUBLIC.Russell Samolsky is associate professor of English at the University of California, Santa Barbara. He is author of Apocalyptic Futures: Marked Bodies and the Violence of the Text in Kafka, Conrad, and Coetzee (2011), and his recent work appears in The Bloomsbury Handbook to J. M. Coetzee, Narrative, and Cultural Critique Online. He has previously cowritten articles with Rita Raley for the Critical Inquiry Forum; Left Theory and the Alt-Right; Understanding Flusser, Understanding Modernism; and PUBLIC.Avery Slater is an assistant professor of English at the University of Toronto and a faculty fellow of the Schwartz Reisman Institute for Technology and Society. Her recent and forthcoming work on AI and the humanities can be found in New Literary History, IEEE, Journal of Cinema and Media Studies, Modern Philology, Critical Inquiry, and The Oxford Handbook of Ethics of AI.Richard Jean So is associate professor of English and digital humanities at McGill University. He researches contemporary culture and media using data-driven and computational methods. His most recent book is Redlining Culture: A Data History of Racial Inequality and Postwar Fiction (2021), and he is currently completing Fast Culture, Slow Justice: Storytelling and Social Movements in the Digital Age. He is also at work on several papers focused on generative AI, creativity, and cultural production.Roi Tartakovsky is senior lecturer in the Department of English and American Studies at Tel Aviv University. His research focuses on poetry and poetics, with an emphasis on figurative language and poetic sound. His book on rhyme in English and American poetry, Surprised by Sound: Rhyme's Inner Workings, was published in 2021. Recent work includes essays in Metaphor and Symbol (2023) and Language and Literature (2023) on zeugma (coauthored with Yeshayahu Shen) and an essay in Style (2022) on Charles Reznikoff's use of the line unit in Holocaust. He also serves as associate editor of Poetics Today.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.431
Threshold uncertainty score0.615

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0040.001
Scholarly communication0.0070.005
Open science0.0020.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.5690.460

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.

Opus teacher head0.026
GPT teacher head0.243
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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