Cold War Radio: The Russian Broadcasts of the Voice of America and Radio Free Europe/Radio Liberty
Bibliographic record
Abstract
Mark G. Pomar's Cold War Radio is an engrossing and comprehensive history of the U.S. government's programs of international broadcasting aimed at the Soviet Union, with an emphasis on the twilight years of the Cold War. Pomar knows his subject well, having worked in important senior positions at the Voice of America (Voa) and Radio Free Europe/Radio Liberty (Rfe/Rl) in the pivotal 1982–1993 period. His career in international broadcasting gave Pomar a front-row seat to such momentous events as the revival of Cold War tensions in the Ronald Reagan era, the unravelling of communism in the Eastern bloc, the final years of the Soviet Union, and the emergence of the Russian Federation in late 1991. Despite being a participant-observer narrative, Cold War Radio is an authoritative account, buttressed by deep research and written by a respected scholar of Russian studies. The book provides a fascinating insider's view of the programming offered by Voa and Rfe/Rl in its many intricacies and moving parts. Despite his focus on later developments, Pomar does not skimp on the earlier histories of the two agencies.
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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 | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.091 | 0.024 |
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".