Bibliographic record
Abstract
Abstract The headquarters of Combined Operations (COHQ) occupied what was formerly the town house of the Dukes of Buccleuch, in Richmond Terrace. One of the more volatile and cantankerous characters in residence during 1942–3 was Evelyn Waugh, the novelist. He was there as Liaison Officer representing the Special Service Brigade, until he was forced out by his senior officers for constantly causing trouble. He was often drunk. The week after Bernal returned from his travels, Waugh arrived for lunch with Mountbatten ‘rather tipsy’ and ‘found the house a nest of Communists’, suggesting that Sage was back at work. Habbakuk remained the highest priority for Bernal, although the Canadians were not pressing ahead with a large-scale model and there seemed no prospect of an operational berg ship until 1945. A meeting was held at COHQ to review the situation at the end of May; Bernal stated that he still believed a berg ship was feasible and that Pykrete was the best material to use. Perutz indicated that 1.7 million tons of Pykrete in block form would need to be produced during the next Canadian winter to construct one berg ship ready for use in 1945.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.677 | 0.309 |
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".