Summarization Bias: The Directional Collapse of Objective Projection into Told-Mode Labels in Large Language Models — A Conceptual Framework and Registered Test Protocol
This paper introduces and operationalizes summarization bias: a proposed systematic tendency of large language models (LLMs) to represent narrative meaning as an abstract summary la-bel rather than as the reconstructable inferential structure that produces it. Within the Bulut Doctrine, narrative eect is theorized alon...