Reinterpreting Nuclear Consequences: Realism, Constructivism, and the Iranian Crisis
Bibliographic record
Abstract
The mainstream neoconservative perception of the persisting global conflict surrounding Iran’s nuclear program generally casts the nation as pursuing nuclear weaponry with the nefarious intentions of undermining western security interests and using these capabilities against Israel or European nations. Conversely, realist and constructivist scholars suggest that Iran’s alleged pursuit of nuclear weapons is anything but irrational. Instead, Iran’s foreign policy represents a logical reaction to regional insecurities and collective identity formed by Iran’s history of past glory and subsequent marginalization, the mutual distrust between the U.S. and Iran following the ousting of the Shah, and Iran’s domestic political dynamics all contribute to the repeated failure to resolve current crisis. Assuming a realist and constructivist analytical framework, it is argued that efforts to coerce Iran into altering its foreign policy have failed due to a lack of understanding of the extent to which Iranian national identity affects its attitudes towards nuclear development and openness to cooperate with western powers. In this sense, mutual animosity and confrontational engagement continues to prevent the achievement of any meaningful diplomatic progress. 3
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 | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.062 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.001 | 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".