The development of nuclear capabilities and their impact on the military-strategic concepts of leading states (1930s–1945)
Bibliographic record
Abstract
The article analyzes the early nuclear programs of Germany, Great Britain, the United States, and the Soviet Union, showing that their development occurred under unequal resource conditions, differing political decisions, and distinct governance mechanisms. It emphasizes the role of leading scientists whose work in nuclear fission, chain reactions, and fissile material production shaped the scientific foundations of initial atomic projects and influenced their further evolution. The study highlights the interaction between scientific communities and government institutions, demonstrating how these relationships affected the pace, dynamics, and effectiveness of nuclear program implementation, as well as the role of political and military leaders in defining priorities, organizing research, maintaining secrecy, and shaping the first strategic concepts related to the emergence of a new type of weapon. It is shown that the organizational model adopted in the United States and Great Britain‑built on coordination between scientific expertise and military-state administration‑proved most effective. In contrast, the German program suffered from personnel fragmentation, resource shortages, and inconsistent state support, while the Soviet project evolved under the influence of intensive intelligence efforts and growing foreign-policy pressures, accelerating its transformation into a centralized, security-oriented initiative. The article also demonstrates that cooperation among the United States, Great Britain, and Canada was a key factor in advancing Western nuclear programs through the exchange of knowledge, materials, and technological capacities. Finally, it concludes that the creation of nuclear weapons reshaped military-strategic doctrines and laid the foundations for the postwar international security architecture.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".