Numerically Driven Inferencing about Abortion: Estimation and Rate Feedback's Diverse Effects on Personal Policies and Justifications

Jennifer Garcia de Osuna, Michael Andrew Ranney, Janek Nelson, Laura T. Germine. Numerically Driven Inferencing about Abortion: Estimation and Rate Feedback's Diverse Effects on Personal Policies and Justifications. In Yasmin B. Kafai, Noel Enyedy, Bill Sandoval, editors, Embracing Diversity in the Learning Sciences: Proceedings of the 6th International Conference for the Learning Sciences, ICLS 2004, Los Angeles, CA, USA, June 22-26, 2004. International Society of the Learning Sciences, 2004. [doi]

@inproceedings{OsunaRNG04,
  title = {Numerically Driven Inferencing about Abortion: Estimation and Rate Feedback's Diverse Effects on Personal Policies and Justifications},
  author = {Jennifer Garcia de Osuna and Michael Andrew Ranney and Janek Nelson and Laura T. Germine},
  year = {2004},
  url = {https://repository.isls.org/handle/1/4018},
  researchr = {https://researchr.org/publication/OsunaRNG04},
  cites = {0},
  citedby = {0},
  booktitle = {Embracing Diversity in the Learning Sciences: Proceedings of the 6th International Conference for the Learning Sciences, ICLS 2004, Los Angeles, CA, USA, June 22-26, 2004},
  editor = {Yasmin B. Kafai and Noel Enyedy and Bill Sandoval},
  publisher = {International Society of the Learning Sciences},
}