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Record W3024648065 · doi:10.1080/25751654.2020.1760021

Command and Control of India’s Nuclear Arsenal

2020· article· en· W3024648065 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal for Peace and Nuclear Disarmament · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicNuclear Issues and Defense
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCommand and controlNuclear weaponDoctrineArms controlControl (management)Nuclear ethicsPolitical scienceComputer securityEngineeringLawComputer scienceManagementTelecommunicationsEconomics

Abstract

fetched live from OpenAlex

Despite long-standing debate about the challenges of establishing command and control of India’s nuclear weapons, few details about the structure and organization of such a system exist in the public domain. Objectives for effective command and control have been laid out in India’s Draft Nuclear Doctrine of 1999, which was followed by the more official statement from 2003 that described some of the organizations governing the new arsenal. It is now almost twenty years later, and many changes have occurred within Indian nuclear force structure. This article documents these evolutions and details some of the similarities and differences between how nuclear weapons might be controlled in India as compared to states that developed nuclear weapons earlier. It specifically examines some of the relevant infrastructure and capabilities, such as military command centres, satellites, and delivery vehicles, that have been developed in the last two decades that are important to nuclear command and control. This article also identifies continuing challenges, such as risks due to the entanglement of conventional and civilian infrastructure with nuclear systems, associated with command and control of nuclear weapons in India.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score0.389

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.027
GPT teacher head0.298
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it