Antenatal counselling for parents facing an extremely preterm birth: limitations of the medical evidence
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
UNLABELLED: When physicians are asked for a consult for women in premature labour, they face a complex set of challenges. Policy statements recommend that women be given detailed information about the risks of various outcomes, including death, long-term disability and various specific neonatal problems. Both personal narratives and studies suggest that parents also base their decisions on factors other than the probabilistic facts about expected outcomes. Statistics are difficult to understand at any time. Rational decision-making may be difficult when taking life-and-death decisions. Furthermore, the role of emotions is not discussed in peri-viability guidelines. CONCLUSION: We argue against trying to tell parents every fact that we think might be relevant to their decision. This may be overwhelming for many parents. Instead, doctors should try to discern, on a case-by-case basis, what particular parents want and need. Information and delivery of information should be personalized. Unfortunately, evidence in this area is limited.
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 | 0.001 | 0.008 |
| 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