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Record W2882974910

El programa nuclear de India: retrovisión y perspectivas / The nuclear programme of India: hindsight and perspectives - Revista de Estudios Políticos y Estratégicos

2017· article· es· W2882974910 on OpenAlexaboutno aff
María Cristina Rosas

Bibliographic record

VenueRevista de estudios políticos y estratégicos · 2017
Typearticle
Languagees
FieldSocial Sciences
TopicNuclear Issues and Defense
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceLineaHumanitiesDeductive methodAtomic energyPhilosophySociologySocial science
DOInot available

Abstract

fetched live from OpenAlex

espanolEn el presente analisis se revisa, a traves del metodo deductivo, la historia del programa nuclear de India, su importancia para la realidad geopolitica regional que enfrenta el pais y el papel de las grandes potencias y otras naciones, como Canada, en la nuclearizacion de Nueva Delhi. Se detallan las caracteristicas de las capacidades nucleares de India, al igual que de su presupuesto de defensa y la delgada linea que separa los usos pacificos de los usos belicos de la energia nuclear. EnglishThis analysis reviews, through the deductive method, the history of the nuclear programme of India, its importance for the regional geopolitical reality that the country faces and the role of the world powers and other nations, such as Canada, in the nuclearization of New Delhi. The characteristics of the nuclear capabilities of India are specified as well as its defense budget, and the thin line between the peaceful and violent uses of nuclear energy.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.050
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0040.011
Scholarly communication0.0100.002
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.310
Teacher spread0.286 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2017
Admission routes1
Has abstractyes

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