（旧版代码存档）本项目旨在使用大型语言模型（LLM）辅助进行扎根理论（Grounded Theory）分析。整个流程以“开源案例”作为研究对象，通过多个自动化阶段，从原始案例文本中提取因果关系，并逐步构建理论模型。项目代码清晰地划分了从数据提取到理论饱和度检验的五个核心阶段。
active 2025-07-12 → 2025-07-13 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 2 days from 2025-07-12 to 2025-07-13. Pushes: 8 total, peak 7 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| MingfengHong | 8 | 8 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.