Bibliographic record
Abstract
About a third of anencephalic fetuses are born alive, but they are not conscious or viable, and soon die. This neural tube defect can be limited by dietary consumption of foliates, and detected prenatally by ultrasound and other means. Many laws permit abortion, on this indication or on the effects of pregnancy and prospects of delivery on a woman's physical or mental health. However, abortion is limited under some legal systems, particularly in South America. To avoid criminal liability, physicians will not terminate pregnancies, by induced birth or abortion, without prior judicial approval. Argentinian courts have developed means to resolve these cases, but responses of Brazilian courts are less clear. Ethical concerns relate to late-term abortion, meaning after the point of fetal viability, but since anencephalic fetuses are nonviable, many ethical concerns are overcome. Professional guidance is provided by several professional and institutional codes on management of anencephalic pregnancies. This paper was co-authored with Rebecca Cook , University of Toronto ( rebecca.cook@utoronto.ca ); Martin Hevia , Universidad Torcuato Di Tella ( mhevia@utdt.edu ); and Bernard Dickens , University of Toronto ( bernard.dickens@utoronto.ca ).
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".