The Falling-Out of Nuclear Suppliers: US–France–Canada Negotiations and Debates on the ROK Nuclear Program
Bibliographic record
Abstract
Abstract This article traces ROK–US negotiations for the termination of the ROK's nuclear weapons program. It was not solely an issue of ROK–US relations; France and Canada, other allies of the United States, were also involved in the ROK's nuclear weapons development. When an ally (ROK) attempted to develop nuclear weapons and another ally (France) pursued commercial interests by exporting nuclear technology, the US-led non-proliferation regime was put at risk. Therefore, the US had to coordinate the interests of its allies. In particular, it attempted to dissuade France from exporting nuclear technology with the support of another ally (Canada). By examining how the US endeavored to coordinate diverse interests, this study ultimately demonstrates that one of the prerequisites for establishing a successful non-proliferation regime led by the US was how to dissuade its ally from seeking financial gain through the export of nuclear technology and instead persuade them to support US-led non-proliferation regime building.
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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.033 | 0.012 |
| Scholarly communication | 0.012 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".