Bibliographic record
Abstract
Volume 2 World War I to World War II 20. Design in the Soviet Union 1905-1928 21. Weimar Germany 1918-1933 22. France 1918-1939 23. Great Britain 1918-1939 24. Western and Southern Europe 1900-1939 25. Central and Eastern Europe 1900-1939 26. Scandinavia 1917-1945 27. Italy, Germany, the Soviet Union, and Portugal 1922-1940 28: The United States 1917-1941 29. Latin America: Cuba, Mexico, and Brazil 1900-1939 30. Latin America: Chile, Argentina, Colombia, Venezuela, and Uruguay 1900-1939 31. Commonwealth Countries: Canada, Australia, and New Zealand 1900-1939 32. The Near and Middle East 1900-1939 33. Colonies: Africa 1900-1945 34: Colonies: India, Hong Kong, and Burma 1900-1945 35. Asia: China and Siam 1900-1939 36: Asia: Japan, its Colonies, and its Territories 1900-1937 37. World War II 1939-1945
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.138 | 0.042 |
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".