Bibliographic record
Abstract
The decision of the U.S. Supreme Court in Roe v. Wade has been both celebrated and vilified for the past thirty-three years.It is nothing if not controversial, and this is not surprising.Abortion is perhaps the most hotly debated social issue in the United States today, and Roe, the case that granted American women a constitutional right to terminate a pregnancy, is a key target for abortion opponents.But the approach to constitutional interpretation in Roe is so controversial that even those who agree that women should be legally entitled to terminate unwanted pregnancies disagree with it.4 Anyone who doubts the currency of a discussion of Roe need only look to South Dakota, whose governor recently signed a statute banning all abortions save those necessary to preserve the life of the pregnant woman.Even in life-saving abortion procedures, physicians are instructed to "make reasonable medical efforts ... to preserve both the life of the mother and the life of her unborn child in a manner consistent with conventional medical practice."5 Several other states have introduced similar legislation.6 The governor of South Dakota has acknowledged that the statute is a direct challenge to Roe, and that it is
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.030 | 0.032 |
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".