When Empathy Failed: Using Critical Oral History to Reassess the Collapse of U.S.-Soviet Détente in the Carter-Brezhnev Years
Bibliographic record
Abstract
Drawing on “critical oral history” conferences held after the demise of the Soviet Union, this article seeks to explain why the détente in U.S.-Soviet relations collapsed at the end of the 1970s. Both the U.S. president, Jimmy Carter, and the Soviet Communist Party leader, Leonid Brezhnev, had sought to improve bilateral ties, but instead they found that the relationship deteriorated and then broke down altogether after the Soviet invasion of Afghanistan. The article suggests that neither side had a sufficient appreciation of how the other side perceived the relationship. The authors argue that the critical oral history helped officials on both sides to develop a sense of empathy for how the other side viewed its own interests and objectives. Empathy does not imply any sympathy; instead, it merely entails an effort to understand the other side's perceptions and goals. Presenting excerpts from an oral history conference, the authors argue that greater empathy in the policymaking process might have helped to avoid an outcome that neither side desired.
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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 | 0.014 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.028 | 0.029 |
| Scholarly communication | 0.013 | 0.013 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".