A5044136156- Topic Modeling
- Team Dynamics and Performance
- Management and Organizational Studies
- Gender Diversity and Inequality
- Ethics and Social Impacts of AI
- Ethics in Clinical Research
- Information Systems Theories and Implementation
- Language, Metaphor, and Cognition
- American History and Culture
- Catholicism and Religious Studies
- Knowledge Management and Sharing
- Higher Education Governance and Development
- Critical Realism in Sociology
- Personal Information Management and User Behavior
- Social Representations and Identity
- Public Relations and Crisis Communication
- Natural Language Processing Techniques
- American Constitutional Law and Politics
- Biomedical Text Mining and Ontologies
- AI in Service Interactions
- Artificial Intelligence in Healthcare and Education
The University of Texas at Austin
2021-2024
Background Large language models (LLMs) have the potential to support promising new applications in health informatics. However, practical data on sample size considerations for fine-tuning LLMs perform specific tasks biomedical and policy contexts are lacking. Objective This study aims evaluate selection techniques improved named entity recognition (NER) a custom set of conflicts interest disclosure statements. Methods A random 200 statements was prepared annotation. All “PERSON” “ORG”...
Constant interaction, digital interruptions, and shrinking time to think act characterize much of present-day communication. The management pressures is a key concern for contemporary workers as work responsibilities encroach on each other domains life. This study focuses how individuals collectives try exert control over through An analysis observational interview data ( N = 26) at health research organization revealed that encountered cyclical, pervasive temporal structures marked by...
Struggles over meaning are inherent to knowledge performances – the communicative accomplishment of knowledge. This study analyzes an interdisciplinary team's communication as they designed a novel information technology. It focuses on hostile performances, which comprised behaviors that steer group knowing by dominating communication. That included flooding interactive space with monologues and interminable emails; correcting directing, including telling people what think; stifling others...
Self-trackers collect personal data for many reasons, including generating insight about their bodies, habits, productivity, and wellbeing. Self-tracking may expose intimate facets of daily life, raising important questions surveillance, privacy, ownership. In this study, we investigated an online community self-trackers weekly “show-and-tell” presentations through observations meetings interviews with members. Making sense in others involved practical philosophical difficulties that...
<sec> <title>BACKGROUND</title> Large language models (LLMs) have the potential to support promising new applications in health informatics. However, practical data on sample size considerations for fine-tuning LLMs perform specific tasks biomedical and policy contexts are lacking. </sec> <title>OBJECTIVE</title> This study aims evaluate selection techniques improved named entity recognition (NER) a custom set of conflicts interest disclosure statements. <title>METHODS</title> A random 200...