Results 231 to 240 of about 90,401 (310)
A case study approach to the learning effects of self-assessment in translation learning: evidence and mechanism. [PDF]
Wang T, Zeng G.
europepmc +1 more source
ABSTRACT Addressing ongoing calls for a more robust understanding of philanthropic foundations, this paper uses metaphor analysis to map and analyse analogical metaphors on foundations—metaphors that make a direct comparison between philanthropic foundations and another domain—put forward in academic and non‐academic discourse.
Tobias Jung
wiley +1 more source
Emotion, proficiency, and arousal: exploring speech and physiological responses in Chinese ESL learners. [PDF]
Wu M, Roche JM.
europepmc +1 more source
Language machines: Toward a linguistic anthropology of large language models
Abstract Large language models (LLMs) challenge long‐standing assumptions in linguistics and linguistic anthropology by generating human‐like language without relying on rule‐based structures. This introduction to the special issue Language Machines calls for renewed engagement with LLMs as socially embedded language technologies.
Siri Lamoureaux +2 more
wiley +1 more source
Uncertainty communication, trust and health promotion. [PDF]
Gretton JD, Mastroianni A.
europepmc +1 more source
Human tests for machine models: What lies “Beyond the Imitation Game”?
Abstract Benchmarking large language models (LLMs) is a key practice for evaluating their capabilities and risks. This paper considers the development of “BIG Bench,” a crowdsourced benchmark designed to test LLMs “Beyond the Imitation Game.” Drawing on linguistic anthropological and ethnographic analysis of the project's GitHub repository, we examine ...
Noya Kohavi, Anna Weichselbraun
wiley +1 more source
Interactions between attained proficiency and length of exposure to lexical attrition of English as a second language. [PDF]
Li HH, Feng Y, Bao C, Bai Y.
europepmc +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
Person-centered practice in the Portuguese healthcare system: A documentary study. [PDF]
Vareta D +4 more
europepmc +1 more source

