Bibliographic record
Abstract
Although projections of nuclear proliferation abound, they rarely are founded on empirical research or guided by theory. Even fewer studies are informed by a comparative perspective. The two books under review—The Psychology of Nuclear Proliferation: Identity, Emotions, and Foreign Policy, by Jacques Hymans, and Nuclear Logics: Alternative Paths in East Asia and the Middle East, by Etel Solingen, are welcome exceptions to this general state of affairs, and represent the cutting edge of nonproliferation research. Both works challenge conventional conceptions of the sources of nuclear weapons decisions and offer new insights into why past predictions of rapid proliferation failed to materialize and why current prognoses about rampant proliferation are similarly flawed. While sharing a number of common features, including a focus on subsystemic determinants of national behavior, the books differ in their methodology, level of analysis, receptivity to multicausal explanations, and assumptions about decisionmaker rationality and the revolutionary nature of the decision. Where one author emphasizes the importance of the individual leader's national identity conception in determining a state's nuclear path, the other explains nuclear decisions primarily with regard to the political-economic orientation of the ruling coalition. Notwithstanding a tendency to overinterpret evidence, the books represent the best of contemporary social science research and provide compelling interpretations of nuclear proliferation dynamics of great relevance to scholars and policymakers alike.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".