Bibliographic record
Abstract
Walter Somerville was born into a Roman Catholic family of modest means in Clontarf, just outside Dublin. He attended the prestigious Jesuit College–Belvedere. Prompted perhaps by the death of his mother from rheumatic heart disease, he trained as a doctor at The Mater Hospital. After house appointments and obtaining his MD in Dublin, he studied for the Membership at the Grosvenor Sanatorium in Kent. He had just accepted a junior appointment at St Mary’s Hospital London when war was declared. Against advice of friends, he volunteered for service in the RAF. However, he was made to join the Army and sent on a troop ship to India. He did not want to become an Army doctor and was quickly recalled and posted to the Chemical Warfare Establishment at Porton Down. The unit moved to Suffield in Canada and he was seconded to the US Army where he was involved in development of chemical warfare on an island off Panama. As the war drew to an end, his unit was preparing an invasion …
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".