Obstetric medicine training: picking up where the licentiate in midwifery left off
Bibliographic record
Abstract
Obstetric medicine is the care of women with medical problems in pregnancy. Medical problems may predate or arise de novo in pregnancy. Some are common and some are dangerous. Both obstetricians and physicians recognise the need for greater numbers of appropriately trained clinicians to care for such women. There is a demand for such training, particularly from trainee obstetricians. The Royal College of Obstetricians and Gynaecologists (RCOG) and the Royal College of Physicians (RCP) agree that there is a need for more formalised training in maternal/obstetric medicine and they are working together to develop special interest training in maternal medicine. The training will be open to both obstetricians and physicians and include theoretical and practical components. The practical training will take place in centres with established medical obstetric clinics and will be tailored (with appropriate modules) to the amount of previous experience in medicine or obstetrics.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.038 | 0.032 |
| Scholarly communication | 0.032 | 0.030 |
| Open science | 0.003 | 0.024 |
| Research integrity | 0.024 | 0.043 |
| Insufficient payload (model declined to judge) | 0.045 | 0.012 |
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 source (direct Gemma or distilled Codex), 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".