Secret Intelligence in the Twentieth Century
Bibliographic record
Abstract
1. Military and Civil Intelligence Services in Germany from World War 1 to the End of the Weimar Republic 2. Unresolved Issues of World War 2: The records still closed and the open records not used 3. Ethnic Germans as an Instrument of German Intelligence Services in the USA, 1933-45 4. Pioneering Research and Analysis: The R&A branch of the Office of Strategic Services and its legacy 5. The Role of Covert Operations in US Cold War Foreign Policy 6. The WRINGER Project: German ex-POWs as intelligence sources on the Soviet Union 7. US Intelligence, COCOM and the Trade War during the Cold War, 1947-55: The French problem 8. A New Apparatus is Established in the Eastern Zone: The foundation of the East German State Security Service 9. US Intelligence and the GDR: The early years 10. The CIA's Berlin Operations Base and the Summer of 1953 11. The Early History of the Gehlen Organization and its Influence on the Development of a National Security System in the Federal Republic of Germany 12. The KGB and Germany: Some thoughts by a participant in the events 13. Canada and the Intelligence Revolution
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".