Doctors and Demonstrators: How Political Institutions Shape Abortion Law in the United States, Britain, and Canada
Bibliographic record
Abstract
Since Roe v. Wade, abortion has been a continually divisive political issue in the United States. In contrast, it has remained primarily a medical issue in Britain and Canada despite the countries' shared heritage. Doctors and Demonstrators looks beyond simplistic cultural or religious explanations to find out why abortion politics and policies differ so dramatically in these otherwise similar countries. Drew Halfmann argues that political institutions are the key. In the United States, federalism, judicial review, and a private health care system contributed to the public definition of abortion as an individual right rather than a medical necessity. Meanwhile, Halfmann explains, the porous structure of American political parties gave pro-choice and pro-life groups the opportunity to move the issue onto the political agenda. A groundbreaking study of the complex legal and political factors behind the evolution of abortion policy, Doctors and Demonstrators will be vital for anyone trying to understand this contentious issue.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.014 | 0.015 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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 source (direct Gemma or distilled Codex), 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".