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
One of the cornerstones of India’s official nuclear policy is No First Use (NFU) of nuclear weapons, which has a long history in Indian nuclear debates and discussions. The country’s stated doctrine from January 2003 includes a pledge not to use nuclear weapons first but with a significant caveat, that nuclear weapons could be used if Indian forces are attacked with biological or chemical weapons. The NFU policy has often been held up by Indian diplomats, government spokespeople, and various strategists as proof of India’s status as a responsible nuclear power. At the same time, there is also a history of strategists, military leaders, and, more recently, government officials questioning, or calling for the abandonment of, the NFU commitment. Statements by various policy makers and officials suggest that their understanding of how nuclear weapons should be used does not fit the strict interpretation of a NFU policy, and that India might well be the first to initiate a nuclear attack during a military crisis. The development and deployment of nuclear warheads mated to missiles would create the material grounds for first use of nuclear weapons and create risks of accidental or inadvertent nuclear war.
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 | 0.000 | 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 | 0.001 | 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) | 0.000 | 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