Should Insurance Companies Be Forced to Reimburse Contraceptives Despite Religious Objections
Bibliographic record
Abstract
Presented by TU's Federalist Society: Professor Robin Fretwell Wilson, the Class of 1958 Law Alumni Professor of Law and the Law Alumni Faculty Fellow for 2011—2012, received her J.D. and B.A. degrees from the University of Virginia where, at the School of Law, she served on the Editorial Board of the Virginia Law Review. Before entering practice, she clerked for the United States Court of Appeals for the Fifth Circuit.\nA specialist in Family Law and Health Law, her research and teaching interests also include Insurance and Biomedical Ethics. Professor Wilson is the editor of four volumes: Health Law and Bioethics: Cases in Context (with Sandra Johnson, Joan Krause and Richard Savor, 2009); Same-Sex Marriage and Religious Liberty: Emerging Conflicts (Rowman & Littlefield Publishers, Inc., 2008) (with Douglas Laycock and Anthony A. Picarello); Reconceiving the Family: Critique on the American Law Institute's Principles of the Law of Family Dissolution (Cambridge University Press, 2006); and the Handbook of Children, Culture & Violence (Sage Publications, 2006) (with Nancy Dowd & Dorothy G. Singer). Her articles have appeared in the Cornell Law Review, the Emory Law Journal, the North Carolina Law Review, and the San Diego Law Review, as well as in numerous peer-reviewed journals.\nNamed "Professor of the Year" by the Women Law Student Organization in 2008, Prof. Wilson has twice received the faculty award for outstanding scholarship. She is a member of the American Law Institute, and in 2010 was ranked among the Top 10 Family Law Scholars in the United States in Scholarly Impact. In 2010, Professor Wilson delivered the Sidney and Walter Siben Distinguished Professorship Lecture at Hofstra University School of Law and presented in the Distinguished Speaker Series at Saint Louis University's Center for Health Law Studies.\nProfessor Wilson's work has been featured in the New York Times, Wall Street Journal, National Public Radio's All Things Considered, Washington Post, Los Angeles Times, U.S. News and World Report, ABA Journal, the Chronicle of Higher Education, Chicago Tribune, CNN Headline News, Good Morning America, ABC News, CBS News, the Philadelphia Inquirer, and Essence Magazine among others. Professor Wilson is the past Chair of the Section on Family and Juvenile Law of the Association of American Law Schools (AALS) and of the AALS' Section on Law, Medicine & Healthcare. Professor Wilson has presented her research in China, Israel, Qatar, the Netherlands, Italy, England, Wales, Poland, Serbia, Japan, Canada, Norway, Denmark, Australia, New Zealand, and France, as well as throughout the United States.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".