Bibliographic record
Abstract
There is an inevitable point where ethics meets medicine and the question of why becomes subject to debate. In 2019, the Cleveland Clinic became the first North American institution to successfully deliver offspring from a uterine transplant (UTx) and —while this suggests infinite implications for infertile and transgender women— the associated medical, emotional, and financial risks challenge the reasons for why it should be operationalized in hospitals. Reasons for undergoing UTx are two-fold: (1) having the ability to carry offspring and (2) furthering the anatomical transition process in male-to-female gender affirmation procedures. Emerging literature argues that there should be “an individual right of people to exercise control and shape their role in reproduction” and sexuality, while others say that the dire aftereffects leave the patient in a better state before UTx. In this piece, we dissect the benefits and disadvantages of having UTx and recommend whether or not it should be practiced. We argue that surgeons should be more conservative in their practices and defer their use of UTx procedures until further research is done to diminish procedural risks.
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 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) | 0.033 | 0.005 |
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; both teacher heads agree on what is shown here.
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".