Bibliographic record
Abstract
The legal regulation of abortion by gestational age, or length of pregnancy, is a relatively undertheorized dimension of abortion and human rights. Yet struggles over time in abortion law, and its competing representations and meanings, are ultimately struggles over ethical and political values, authority and power, the very stakes that human rights on abortion engage. This article focuses on three struggles over time in abortion and human rights law: those related to morality, health, and justice. With respect to morality, the article concludes that collective faith and trust should be placed in the moral judgment of those most affected by the passage of time in pregnancy and by later abortion-pregnant women. With respect to health, abortion law as health regulation should be evidence-based to counter the stigma of later abortion, which leads to overregulation and access barriers. With respect to justice, in recognizing that there will always be a need for abortion services later in pregnancy, such services should be safe, legal, and accessible without hardship or risk. At the same time, justice must address the structural conditions of women's capacity to make timely decisions about abortion, and to access abortion services early in pregnancy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.057 |
| Scholarly communication | 0.007 | 0.013 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".