Bibliographic record
Abstract
How can we explain the repeated failure of U.S. and Russian leaders to “reset” their relationship since the end of the Cold War? The core cause lies in a combination of major asymmetries and incompatible policy objectives, especially about the international status of Russia’s historical borderlands. What are these structural asymmetries in contemporary American-Russian relations? ... with China: $577 billion; with Canada: $543 billion; with The Netherlands: $55 billion; with Russia: $20 billion. Beyond these structural factors, American-Russian relations must also contend with profound differences of basic policy assumptions. Both the Obama and George W. Bush administrations believed that asymmetries in power gave the United States the whip hand in the relationship. Vice President Joe Biden was closer to Dick Cheney, his predecessor, than he perhaps knew when he said in July 2009, “I think we vastly underestimate the hand we hold.”1 For the Russians, their greatest concern was that Americans consistently denied them a sphere of influence along their historical borderlands. So long as countries like Ukraine and Georgia remain eligible for NATO membership (which they have been since April 2008), Moscow cannot assume that it can provide for its regional security at the negotiating table with Washington.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".