Explaining North Korea's Nuclear Ambitions: Power and Position on the Korean Peninsula
Bibliographic record
Abstract
The USA has long called for the complete, verifiable and irreversible denuclearisation of North Korea. But is this a realistic policy option? In order to address this question, a broader question needs to be answered: What are the primary drivers of North Korea’s interest in nuclear weapons? Most answers to this question take one of two basic positions. ‘Doves’, on the one hand, see North Korea developing nuclear weapons because of the threatening foreign policies of the USA and South Korea. ‘Hawks’, on the other hand, see North Korean nuclear development as driven by factors internal to the North Korean regime, inherent in its personality. The author examines these two arguments against the evidence and finds them both wanting. In contrast, he puts forth an alternative argument focused on the power of the global hegemon, the USA, and its position on the Korean Peninsula. This power and positional alternative is shown to be better reflected in the evidence presented.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".