Bibliographic record
Abstract
At some point in the future - perhaps within the next few decades - it will be possible for foetuses to develop completely outside the womb. Ectogenesis, as this technology is called, raises substantial issues for the abortion debate. One such issue is that it will become possible for a woman to have an abortion, in the sense of having the foetus removed from her body, but for the foetus to be kept alive. We argue that while there is a right to an abortion, there are reasons to doubt that there is a right to the death of the foetus. Our strategy in this essay is to consider and reject three arguments in favour of this latter right. The first claims that women have a right not to be biological mothers, the second that women have a right to genetic privacy, and the third that a foetus is one's property. Furthermore, we argue that it follows from rejecting the third claim that genetic parents also lack a right to the destruction of cryopreserved embryos used for in vitro fertilization. The conclusion that a woman possesses no right to the death of the foetus builds upon the claims that other pro-choice advocates, such as Judith Jarvis Thomson, have made.
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 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.038 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.011 | 0.011 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".