How Much Labelled Data Is Enough? A Simulation Study of Prompting Strategies for Unbiased and Reliable LLM-Based Annotation Workflows in Social Sciences

Related documents

• Microdosing psychedelics: a case-study exploration of use modalities and the understanding and management of risk#660403
• Risk-Aware Infrastructure Forecasting for Early Childhood Capacity: A Hybrid Demographic-Housing Model with Algorithmic Governance#660404
• Productive Policy Competition and Asymmetric Extremism#660405
• From Himalayan Catastrophe to National Resilience: Lessons from the 2026 Bhote Koshi and Trishuli River Floods in Nepal#660406
• Violence and International Migration in Illiberal Times: The Case of El Salvador’s Authoritarian Transformation#660407