Mental health problems contribute to a quarter of “later” maternal deaths after childbirth
Bibliographic record
Abstract
Maternal deaths in the United Kingdom have continued to fall, but more could be done to prevent suicides during pregnancy or in the first year after birth, the Confidential Enquiry into Maternal Deaths has found.1 While direct deaths—those caused by sepsis, eclampsia, thrombosis, or haemorrhage, for example—halved from 2003-05 to 2011-13, the number of indirect deaths showed little change. Women born outside the UK accounted for a quarter of the total deaths, but their risk of dying was not notably different in 2011-13 from those born in the UK. Over this three year period the inquiry showed 69 direct deaths and a further 145 indirect deaths from causes such as cardiac disease, flu, or pneumonia. The corresponding figures from 2003-05 were 132 direct deaths and 163 indirect deaths. Total maternities rose from 2.11 million in 2003-05 …
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".