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
PREFACE: Normal childbirth has become jeopardized by inexorably rising interventions around the world. In many countries and settings, cesarean surgery, labor induction, and epidural analgesia continue to increase beyond all precedent, and without convincing evidence that these actions result in improved outcomes (1,2). Use of electronic fetal monitoring is endemic, despite evidence of its ineffectiveness and consequences for most parturients (1,3); ultrasound examinations are too often done unnecessarily, redundantly, or for frivolous rather than indicated reasons (4); episiotomies are still routine in many settings despite clear evidence that this surgery results in more harm than good (5); and medical procedures, unphysiological positions, pubic shaving and enemas, intravenous lines, enforced fasting, drugs, and early mother-infant separation are used unnecessarily (1). Clinicians write and talk about the ideal of evidence-based obstetrics, but do not practice it consistently, if at all. Why do women go along with this stuff? In this Roundtable Discussion, Part 2, we asked some maternity care professionals and advocates to discuss this question.
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) | 0.005 | 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