Bibliographic record
Abstract
When Neville Chamberlain became prime minister on 28 May 1937, he ushered in a new phase of the ‘deterrence’ period. As the British leader, he was in a position to implement the changes in strategic foreign policy that he had long advocated. Not for him the uncertainty of the previous four years. He revelled in ‘the wonderful power that the Premiership gives you’. ‘As Ch[ancellor] of Ex[chequer]’, he boasted to his sister in a typically hubristic letter, ‘I could hardly have moved a pebble; now I have only to raise a finger & the whole face of Europe is changed.’ The relative lull in events – the German Anschluss with Austria on 13 March 1938 was the only major international occurrence until the Czechoslovakian crisis in September of that same year – should have provided him with the opportunity to do major facial surgery. However, circumstances were not entirely propitious for many of the prime minister's pet schemes. In the Far East, the outbreak of Sino-Japanese hostilities was compounded by the Japanese wounding of Hughe Knatchbull-Hugessen, the British ambassador to China, and the ensuing British pursuit of a Japanese apology. This meant that Chamberlain could not overtly seek a Anglo-Japanese rapprochement . Instead, he had to content himself with an attempt to bring an end to hostilities while simultaneously ensuring that British interests in China were not overrun by the Japanese.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.039 | 0.007 |
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".