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Record W4401233887 · doi:10.1177/09749284241264038

Nuclear and Radiological Material Smuggling in the Indian Ocean: Implications for India’s Coastal Security

2024· article· en· W4401233887 on OpenAlexfundno aff
Devyani Sharma, Saurabh Mishra

Bibliographic record

VenueIndia Quarterly A Journal of International Affairs · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsnot available
FundersForeign Affairs and International Trade CanadaU.S. Department of State
KeywordsRadiological weaponBENGALNuclear terrorismChinaTerrorismIndian oceanNuclear weaponGeographyPolitical scienceLawOceanographyArchaeologyMedicineGeology

Abstract

fetched live from OpenAlex

Incidents of nuclear and radiological smuggling in the Indian Ocean are a matter of concern. Attempts to smuggle nuclear material within India have also been reported as recently as 2021. Indian security agencies previously have also seized natural uranium in coastal states such as Gujarat, Maharashtra and Bengal indicating how vulnerable the Indian coast is to radiological and nuclear smuggling. The Nuclear Security Index has also consistently ranked India below China and Pakistan despite their poor record on nuclear non-proliferation. These facts highlight concerns regarding the possible misuse of nuclear and radiological material by criminal and terrorist networks. Since India is targeted by terrorist groups and lies in the vicinity of countries and routes that see frequent nuclear and radiological trafficking, there are inevitable implications for the Indian coastal security system. This article identifies and analyses these security implications and argues for a beefing up of India’s coastal security.

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 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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.403
Threshold uncertainty score0.565

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.245
Teacher spread0.238 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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