Misusing uteruses? Childrearing capacity and access to transplantable wombs
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In light of recent successful uterus transplantations, it is reasonable to expect that womb transplants will become more commonplace in the future. If this happens, important questions emerge about who should receive the donated wombs. Some arguments have been advanced that suggest that potential recipients should be screened for their anticipated childrearing capacity, as one component of a comprehensive process for determining eligibility. The main arguments provided in support of this position have to do with the presumed responsibility of the state to protect future children from harm, and with avoiding complicity for any resulting harm experienced by the child born through the transplanted uterus. The purpose of this paper is to reject this position, based on two main criticisms: (1) screening potential uterus recipients for anticipated childrearing ability, but not also screening other kinds of morally equal family builders, is unjustly discriminatory; and (2) with respect to actions performed in good faith (e.g. providing a transplantable uterus to someone for the purpose of having a child), one is not morally blameworthy for the consequences of those actions (a) that one did not intend, and (b) that were directly caused by someone else, and (c) where others are directly responsible for making sure that those consequences do not come about. These criticisms are sufficient for concluding that the state is not justified in assessing the anticipated childrearing capacity of potential uterus recipients, and this is so regardless of whether or not there is a scarcity of transplantable uteruses available.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it