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Record W1982753173 · doi:10.1080/14682745.2013.789693

The Cold War and the international political economy in the 1970s

2013· article· en· W1982753173 on OpenAlexaboutno aff
Daniel J. Sargent

Bibliographic record

VenueCold War History · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCommunism, Protests, Social Movements
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceBackwardnessCommunismPolitical economyGeopoliticsContext (archaeology)LegitimacyPoliticsEconomyEconomic historyEconomicsLawHistoryEconomic growth

Abstract

fetched live from OpenAlex

This article reviews the scholarly literature on the international political economy (IPE) in the 1970s and considers the connections between the Cold War and the transformations of the liberal (or capitalist) international political economy. It presents the 1970s as a transitional decade that brought the ascent of globalisation and financial deregulation, the reorientation of advanced capitalist economies towards services and post-industrial production, and the end of the extensive growth patterns of the 1950s and 1960s. While the liberal IPE underwent dramatic changes during the 1970s, the Communist bloc experienced diminished rates of growth but not the kinds of dramatic economic restructuring that occurred in the West. These developments in the 1970s prefigured the Cold War's resolution in the 1980s. Situated in comparative context, the transformations of the liberal world economy during the 1970s exposed – and in some ways exacerbated – the relative backwardness of the Soviet Union's command economy, with decisive consequences for the legitimacy of the Communist regime. International economic change, in this view, precipitated the ideological and geopolitical developments that would bring the Cold War to its end.

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 score0.061
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.005
Science and technology studies0.0060.019
Scholarly communication0.0100.004
Open science0.0000.005
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0080.001

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 head0.024
GPT teacher head0.264
Teacher spread0.240 · 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

Citations16
Published2013
Admission routes1
Has abstractyes

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