Hang Wu, Wenqi Shi, May D Wang
Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning
BMC medical informatics and decision making
article proposes argues importance distinction low highriskcost activism outlines model recruitment latter model emphasizes importance structural individual motivational factors highriskcost activism contending intense ideological identification values movement disposes individual toward participation prior history activism integration supportive networks acts structural pull encouraging individual make good strongly held beliefs utility model analyzed relation single instance highriskcost activism 1964 freedom summer project data project applications 720 persons actually went mississippi well 241 shows used explain applicants chances participation terms various factors results analysis generally confirm importance microstructural factors recruitment campaign participants distinguished withdrawals primarily basis greater number organizational affiliations b higher levels prior civil rights activity c stronger extensive ties participants