SOURCE-LINKED INTELLIGENCE
Automated Detection and Structuring of Social Tipping Point Evidence in Climate related Documents: A Modular AI Framework
The climate literature has grown faster than review teams can read it. That gap matters most for a concept like the environmental social tipping point, the threshold at which a small change triggers rapid, self-reinforcing change in a social system. Evidence of this kind of shift is usually contained in one or two paragraphs within a longer document. As a result, existing text mining tools-which categorize entire documents by topic or highlight isolated claims-leave an expanding set of important evidence without any systematic method for discovery or organization. This paper presents an open a
Read original source ↗ Open in workspace
- recordType
- paper
- region
- Global
Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-10T22:21:16.000Z
First collected: 2026-09-20T18:42:18.733Z. This is not the publication date.