yadnuses/Academic-Detective
+Academic Detective · 学术侦探 — 开源学术背景核查引擎。输入导师姓名和学校，基于公开数据自动生成调查报告：论文产出核实、六维质量评分、学科基准线偏差检测、与已知不端案例的模式比对、结构化学生评价匹配、关系网络可视化。支持 Markdown→PDF 报告导出与导师知识蒸馏。
What it solves
It addresses the lack of transparency in academic backgrounds, helping students and researchers verify the actual credentials and reputations of potential academic supervisors before committing to them.
How it works
Users input a supervisor's name and institution, and the system extracts evidence chains from public data to generate a comprehensive investigation report. It employs a seven-step investigation framework to analyze publication output, detect data fabrication, and compare patterns against known cases of academic misconduct.
Who it’s for
Students looking for academic supervisors and researchers wanting to verify the academic integrity and quality of a peer or mentor.
Highlights
- Multi-dimensional Scoring: Uses a six-dimensional quality score based on Nature's peer review mechanism and text style analysis.
- Fraud Detection: Includes tools for detecting paper/experimental data fabrication and deviation from disciplinary baselines.
- Student Feedback Integration: Matches data against over 75,000 structured student evaluations from Yanxue.com.
- Network Visualization: Visualizes supervisor relationship networks using D3.js.
- Automated Reporting: Converts findings from Markdown into polished PDF reports with automatic charts.
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