Results 191 to 200 of about 2,970 (251)

Domesticating robots, domesticating language: The hylomorphic paradox of “openness” in large language models

open access: yesJournal of Linguistic Anthropology, Volume 36, Issue 2, August 2026.
Abstract This article examines how openness is interpreted in human–LLM interaction through an ethnographic study of a robotics experiment. Focusing on an episode in which a robot produced an unexpected utterance, I analyze how engineers classify the output as inconsequential noise.
Raffaele Andrea Buono
wiley   +1 more source

Palatal violence: Sonic gatekeeping and enemy‐making in wartime Ukraine

open access: yesJournal of Linguistic Anthropology, Volume 36, Issue 2, August 2026.
Abstract Within 2 days of Russia's full‐scale invasion of Ukraine, a single word—palianytsia, a Ukrainian round loaf—became a phonetic test separating Ukrainians from Russians. The article traces how a culinary term was enregistered as a wartime shibboleth that structurally marks the very citizens it was meant to protect as enemies.
Anatoli Ulyanov
wiley   +1 more source

Computing consensus: Language ideological work in LLM‐assisted deliberative democracy

open access: yesJournal of Linguistic Anthropology, Volume 36, Issue 2, August 2026.
Abstract This article examines how the digital platform Polis and its experiments with large language models (LLMs) reconfigure democratic participation through a particular vision of consensus. Through analysis of media coverage of Polis and developers' public discussions of the platform, I argue that developers reframe consensus from a discursive ...
Janet E. Connor
wiley   +1 more source

Identification and Classification of Learning Disabilities Using Machine Learning Approaches: A Meta‐Analysis

open access: yesMind, Brain, and Education, Volume 20, Issue 3, August 2026.
ABSTRACT Machine learning (ML) algorithms have been increasingly used to predict learning disability (LD) risk across various disciplines, but the effectiveness of different algorithms remains unclear. We summarize the literature on ML applications for the identification and classification of LDs using behavioral (e.g., phoneme manipulation and sound ...
Yusra Ahmed   +4 more
wiley   +1 more source

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