Bibliographic record
Abstract
In depth descriptions and photographs of the aircraft of 21 nations presented with a unique human dimension that goes behind the machines to the people involved. Invaluable for specialists, accessible to enthusiasts,International Warbirds: An Illustrated Guide to World Military Aircraft, 1914–2000puts the most legendary fighter aircraft of the 20th century developed outside the United States on vivid display. It offers 336 illustrated "biographies" of the most significant warplanes used in squadron service from World War I to the Balkan conflict, including numerous models from Great Britain, France, Russia, and Japan, as well as notable machines from Israel, Canada, China, India, Brazil, and other nations. Entries span the history and scope of military aircraft from bombers and fighters to transports, trainers, reconnaissance craft, sea planes, and helicopters, with each capsule history combining nuts-and-bolts technical data with the story of that model's evolution and use. Together, these portraits offer an exciting, well-researched tribute to visionary designers and builders as well as courageous pilots and crews across the globe, and tell a vivid tale of how air power became such a decisive factor in modern warfare.
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 | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.345 | 0.151 |
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".