Bibliographic record
Abstract
Commentary on the paper by Ogilvie (see page 138) The words “hospice”, “hostel”, and “hospital” share the same etymological root. In ancient times, the aged and infirm were often admitted to a hospice as a place to die. Typically the physical environment was spartan—walls bare except perhaps for a crucifix, and help limited to prayer. The spirit was otherwise ignored. Most, but not all, hospitals have overcome their monastic provenance and have evolved into cheerier environments. More and more hospitals now encourage the support of family and friends as an aid to recovery. But in too many adult hospitals, the physical environment still betrays its monastic unicellular roots. In health care, as in life, old traditions die hard. The mere idea of a hospital dedicated exclusively to the care of children is a relatively recent concept. In the mid-19th century, Charles Dickens was a vigorous campaigner for the support of such a hospital in London—specifically, for The Hospital for Sick Children, Great Ormond Street. In Our Mutual Friend , published in 1868, he provided one of the first literary references to an exclusively paediatric hospital.1 He describes how Mrs Boffin persuades an elderly woman to seek good care for an ill …
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.046 | 0.039 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".