Bibliographic record
Abstract
In his 2007 annual report, the Chief Medical Officer of England expressed his concern about the static perinatal mortality rate in the UK over 7 years. He highlighted the issue of intrapartum deaths in a chapter titled ‘Intrapartum-Related Deaths: 500 Missed Opportunities’. These were cases where the fetus was alive on admission but died during labour. The incidence of intrapartum deaths has declined compared with 1995, when the fourth annual report of the Confidential Enquiry into Stillbirths and Deaths in Infancy reported intrapartum death in 1/1600 fetuses weighing more than 1500 g with no chromosomal or congenital malformation. However, the factors that contributed to these deaths have not changed: inability to interpret the cardiotocograph (CTG) trace, failure to incorporate the ‘clinical picture’, delay in taking action and poor teamwork. In addition to avoidable intrapartum fetal deaths, the incidence of hypoxic ischaemic encephalopathy (HIE) owing to birth asphyxia has not changed and remains about 2/1000, with 1/1000 being HIE grade I and the remainder being grades II and III. Grades II and III have a high correlation with asphyxia-related deaths and neurological injuries. The mortality and morbidity related to intrapartum asphyxia affect the quality of life of parents and siblings and are an enormous drain on taxpayers, who indirectly contribute to the National Health Services Litigation Authority, which pays out billions of pounds in compensation for obstetric negligence in cases of intrapartum-related neurological injury.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".