MétaCan
Menu
Back to cohort
Record W2591043089 · doi:10.61490/eial.v16i2.347

Nuclear Development and the Shaping of an Independent Argentine Foreign Policy, 1950-1990

2005· article· en· W2591043089 on OpenAlexaff
David Sheinin

Bibliographic record

VenueEIAL - Estudios Interdisciplinarios de América Latina y el Caribe · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical and Social Dynamics in Chile and Latin America
Canadian institutionsTrent University
Fundersnot available
KeywordsForeign policyPolitical scienceEconomic systemEconomicsPoliticsLaw

Abstract

fetched live from OpenAlex

Throughout the Cold War, there was one remarkable exception to the decline of scientific activity in Argentina, namely the nuclear sector. For decades, the Comisión Nacional de Energía Atómica (CNEA) and the two dozen private and semi-private companies that dominated the Argentine nuclear sector continued to be strong, both from the scientific and administrative point of view. According to Etel Solingen, this was a "paradigmatic example of a maverick agency taking advantage of macro-political chaos... to impose its own institutional agenda." [1] To be sure, nuclear science in Argentina was not immune to political and economic upheaval. But, protected and nurtured by CNEA, which in turn was relatively immune from political pressures, nuclear science thrived. Argentina became a leading training center for scientists and technologists from underdeveloped countries. Moreover, nuclear science was a driving force behind foreign policies throughout the Cold War era in some key areas that have not yet been addressed by current research dealing with the Argentine nuclear sector. Most investigators have tended to isolate nuclear questions from more general problems of international strategy; they have not assessed the major repercussions of nuclear issues for Argentine foreign policy during the Cold War period

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.504
Threshold uncertainty score1.000

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 studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.023
GPT teacher head0.326
Teacher spread0.303 · 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.

Study designTheoretical or conceptual
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

Citations3
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueEIAL - Estudios Interdisciplinarios de América Latina y el CaribeSame topicPolitical and Social Dynamics in Chile and Latin AmericaFrench-language works237,207