The Right(s) to Procreate and Assisted Reproductive Technologies in the United States
Bibliographic record
Abstract
Abstract This chapter focuses on the right (or rights) to procreate in the United States, with a focus on reproductive technology use. The United States has been too often described as the “wild west” of reproductive technology use. When measured against many of its comparators—Canada, Australia, the UK, Germany, etc.—it is undoubtedly true that more forms of reproductive technology use are permitted in the United States than elsewhere. It is for this reason that the United States has been a frequent destination for “circumvention tourism” or “fertility tourism.” At the same time, it would be wrong to think that reproductive medicine is unregulated in the United States. The chapter argues that it is just that the regulation is more fragmented, both in terms of the locus of control (federal vs. state authority, governmental vs. professional self-regulation, etc.) and also of the legal sources involved (more of a focus on tort law and family law than direct regulation at the statutory or constitutional level).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 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 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".