Bibliographic record
Abstract
I feel rather like Titurel in Parsifal: he lies in his coffin & asks for a drink now & then but nobody takes any notice of him. 1939–1943 For the first year of war, Dent was forcibly laid up in Cambridge, which in many ways suited him, a rare opportunity for undisturbed writing and research. But he had to be reminded to keep still. His ulcer had caught up with him again in November 1939, when on a trip down to London, he suddenly haemorrhaged badly: ‘must have bled nearly to death; I certainly felt that I had got nothing left but a sense of humour!’ After a hasty operation he recuperated at New Quebec Street, looked after by one of his German refugees, the dancer Heinz Lander, also a trained nurse, then returning to Cambridge to convalesce at the Evelyn Nursing Home. In spite of a night nurse who liked to give her captive audience ghoulish tales of previous patients, he gradually recovered, by January feeling well enough to move back into Panton Street, his ulcer reduced to a ‘tiny spot’, and extreme caution advised to obviate future flare-ups. For years this was to be another life pattern: haemorrhage, treatment, convalescence, then an excessive burst of activity which set it all off again. Once again, war had changed everything. On his return from the USA that September, Dent had been ‘horrified’ to find London silent, in darkness, the theatres closed. ‘I suppose it is good for the population to get accustomed to air-raid conditions a good long time before they begin.’ At Panton Street he found that two ‘females’, schoolteachers from St Martin’s-in-the-Fields, had been billeted; some four thousand evacuees were now in the town and needing places to live. Exhausted, his stomach already giving him pain again, he needed his house to himself. But Hills, ‘in one of her moods’, made it very clear that she liked the two schoolteachers, who helped her around the house and were good company. He gave in: ‘I was given a very good dinner to-night, probably as a sop to Cerberus.’ Cambridge had responded to war quickly and efficiently.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.363 | 0.132 |
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".