Origins of neonatal intensive care in the UK
Bibliographic record
Abstract
Chaired by Professor Robert Boyd, this seminar reviewed the development and changes in care of the newborn in the UK over the past 50 years. Advances in techniques were described, such as mechanical ventilation, total parenteral nutrition and continuous monitoring of vital signs, to care for ill or vulnerable newborn infants. Diagnostic techniques that were developed and introduced in the 1970s and early 1980s were discussed, such as ultrasound imaging, magnetic resonance spectroscopy and imaging and near infrared spectroscopy, for the non-invasive investigation of the brain, as well as the setting up of neonatal intensive care units. Witnesses include: Professor Eva Alberman, Dr Herbert Barrie, Professor Richard Cooke, Dr Beryl Corner, Dr Pamela Davies, Professor John Davis, Professor David Delpy, Professor Victor and Dr Lilly Dubowitz, the late Professor Harold Gamsu, Professor David Harvey, Professor Colin Normand, Professor Tom Oppé, Professor Osmund Reynolds, Dr Jean Smellie, Professor Maureen Young and nurses, including Miss Anthea Blake, Miss Caroline Dux and Miss Mae Nugent. Introduction by Professor Peter Dunn, viii, 84pp, 1 chart, glossary, subject and name index.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.033 | 0.010 |
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".