DAVID KAHN. The Reader of Gentlemen's Mail: Herbert O. Yardley and the Birth of American Codebreaking. New Haven: Yale University Press. 2004. Pp. xxi, 318. $32.50.
Bibliographic record
Abstract
Herbert Osborn Yardley is hardly a household name, yet he is the most famous United States codebreaker thanks to a sensational book—The American Black Chamber—he wrote seventy-five years ago. Heretofore he has not had a biographer, but he certainly has one now. There is a truism, well known to historians, that biographers either love or hate their subjects. David Kahn has written that rarest of commodities: a balanced biography of Yardley, warts and all. In so doing he has reinterpreted Yardley's role and what we know about early American communications intelligence. Kahn undertook an exhaustive search covering virtually every archive in the United States, Canada, Great Britain, France, and Japan that could conceivably hold documents relating to Yardley. Kahn also interviewed virtually everyone still living who knew Yardley and his contemporaries. The result is a tour de force, a definitive biography that will lay to rest most of the controversies swirling around Yardley's career.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.093 | 0.071 |
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".