分析710个开源项目治理文档，发现参与角色和行为随时间更均衡分布。
A Human Behavioral Baseline for Collective Governance in Software Projects
- 通过文本解析提取参与者、规则、行为与对象，量化治理结构变化。
- 角色与行为数量增多且分布更均衡，规则组成保持稳定。
- 为评估AI介入是否改变权力分配提供可复现的基准方法。
我们研究了开源社区如何通过版本控制的治理文档描述参与与控制。基于包含710个项目的配对快照语料库，将文本解析为参与者、规则、行为与对象，并通过熵衡量均等性，用多样性指标衡量丰富性，以詹森-香农散度检测演变偏移。结果显示，项目随时间增加了更多角色与行为，且分布更均衡，而规则构成保持稳定。这表明治理通过扩展并平衡参与类别来演进，未发生显著规范力转变。该分析为评估未来AI辅助工作流是否集中或重新分配权力提供了可复现的基准。
原文摘要 · Abstract (English)
We study how open source communities describe participation and control through version controlled governance documents. Using a corpus of 710 projects with paired snapshots, we parse text into actors, rules, actions, and objects, then group them and measure change with entropy for evenness, richness for diversity, and Jensen Shannon divergence for drift. Projects define more roles and more actions over time, and these are distributed more evenly, while the composition of rules remains stable. These findings indicate that governance grows by expanding and balancing categories of participation without major shifts in prescriptive force. The analysis provides a reproducible baseline for evaluating whether future AI mediated workflows concentrate or redistribute authority.
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