This white paper introduces the Weak Signal Cultivation Model (WSCM). WSCM is a human-centric framework for detecting, structuring, and tracking weak risk signals as observed by frontline staff. The model centers on a continuous [0,10] x [0,10] coordinate field--the Weak Signal Cultivation Field, in which each identified signal is positioned as a node on two independent dimensions: its current Risk Intensity (x) and its Risk Growth Potential (y). Represented as a risk locus, nodes move across the field over time as new team assessments or measurements arrive. The locus reflects the signal's trajectory across four possible regions: Question Marks, Lit Fuses, Sleeping Cats, and Owls. Through this graphical approach, bridging risk communication from the frontline experience to management decision-making is made through a single organizational vocabulary. The model introduced in this document is designed to serve as a practitioner tool and a conceptual foundation for AI-supported analytics.

翻译：本白皮书介绍了弱信号培育模型（WSCM）。该模型是一个以人为中心的框架，用于检测、整理和追踪一线员工所观察到的弱风险信号。模型核心是一个连续的[0,10]x[0,10]坐标场——弱信号培育场，每个识别出的信号作为节点定位在两个独立维度上：当前风险强度（x轴）与风险增长潜力（y轴）。作为风险轨迹呈现，节点随新的团队评估或测量数据在场上移动。该轨迹反映信号在四个可能区域中的演变路径：问号区、导火索区、沉睡猫区与猫头鹰区。通过这种图形化方法，从一线经验到管理决策的风险沟通得以通过统一组织语言实现。本文所提出的模型旨在作为实践工具和AI辅助分析的概念基础。