Results 171 to 180 of about 195,559 (321)
Abstract This paper asks how LLM‐based systems can produce text that is taken as contextually appropriate by humans without having seen text in its broader context. To understand how this is possible, context and co‐text have to be distinguished. Co‐text is input to LLMs during training and at inference as well as the primary resource of sense‐making ...
Ole Pütz
wiley +1 more source
8. Identities Urban belonging and intercultural relations
Jens Schneider +5 more
openalex +1 more source
Nonhuman situational enmeshments—How participants build temporal infrastructures for ChatGPT
Abstract This paper investigates how participants recruit Large Language Models (LLMs) like ChatGPT as interactional co‐participants depending on their temporal enmeshment within an interactional flow. Using Charles Goodwin's co‐operative action framework, we analyze video data of human–AI interaction to trace the temporal structures established by ...
Nils Klowait, Maria Erofeeva
wiley +1 more source
Abstract From the beginning of widespread public interactions with ChatGPT and other large language models, some users have seen the disfluencies of chatbots as opportunities for them to go on an archaeological search for an unfettered chatbot persona that they need to jailbreak. These are not claims of sentience, but rather of personhood.
Courtney Handman
wiley +1 more source
Are Americans more successful at building intercultural relations than Japanese? A comparison and analysis of acculturation outcomes in Japan. [PDF]
Komisarof A.
europepmc +1 more source
Contested heritage landscapes for Arabic language learning in a postcolonial France
Abstract This article analyzes the contested and multiple meanings of “heritage” that emerge for advanced Arabic language learners in a postcolonial France. A linguistic life histories approach reveals a fraught duality of privileged access and exclusionary adversity for heritage students of Arabic.
Chantal Tetreault +2 more
wiley +1 more source

