How to de-escalate dangerous nuclear weapons and force deployments in Europe
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Amidst the war in Ukraine, it is important to raise the prospect and vision of creating mutual security guarantees and ridding Europe of its dangerous nuclear weapon systems and provocative force deployments. In view of reckless Kremlin rhetoric and aggressive military action in Russia’s so-called near abroad, it is time for renewed approaches to arms control. As the Ukraine situation plays out, Russia, the United States, and allies in the North Atlantic Treaty Organization must return to their bargaining tables and negotiate strict limits, verification measures, and overarching controls over their nuclear use doctrines, weapon stockpiles, and conventional force deployments. All sides will have to make deep concessions and de-alert and de-operationalize mid- and short-range nuclear weapons while improving command and control safeguards—because, as we see, brandishing weapons and threatening escalation heightens tensions and increases the danger of crises spiralling uncontrollably.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it