Risks, Values, and Decision Making Surrounding Pregnancy
Bibliographic record
Abstract
Assessing, communicating, and managing risk are among the most challenging tasks in the practice of medicine and are particularly difficult in the context of pregnancy. We analyze common scenarios in medical decision making around pregnancy, from reproductive health policy and clinical care to research protections. We describe three tendencies in these scenarios: 1) to consider the probabilities of undesirable outcomes alone, in isolation from women's values and social contexts, as determinative of individual clinical decisions and health policy; 2) to regard any risk to the fetus, including incremental risks that would in other contexts be regarded as acceptable, as trumping considerations that may be substantially more important to the wellbeing of the pregnant woman; and 3) to focus on the risks associated with undertaking medical interventions during pregnancy to the exclusion of demonstrable risks to both woman and fetus of failing to intervene. These tendencies in the perception, communication, and management of risk can lead to care that is neither evidence-based nor patient-centered, often to the detriment of both women and infants.
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 | 0.001 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".