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Record W2117047063 · doi:10.1177/1749975512457142

The International Circulation of Attacks and the Reputational Consequences of Local Context: George Soros’s Difficult Reputation in Russia, Post-Soviet Lithuania and the United States

2012· article· en· W2117047063 on OpenAlex
Neil McLaughlin, Skaidra Trilupaitytė

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

VenueCultural Sociology · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsMcMaster University
Fundersnot available
KeywordsReputationContext (archaeology)GlobalizationPoliticsPolitical scienceSkepticismCirculation (fluid dynamics)Political economyEconomic historySociologyLawEconomicsHistoryEngineeringPhilosophy

Abstract

fetched live from OpenAlex

This article examines philanthropist George Soros’s reputation in the United States, Russia and post-Soviet Lithuania from the 1990s to 2005–6. A billionaire currency speculator and left-wing philanthropist, Soros has a ‘difficult reputation’. Attacks from American right-wingers and post-Soviet authoritarians circulated internationally, but his reputation was not constituted globally as extreme globalization theorists might predict. We draw on Bourdieu’s analysis of the international circulation of ideas and emphasis on local context. Reputational entrepreneurs in the United States, Russia and Lithuania certainly made extensive use of internationally circulating attacks in the age of the internet. Nonetheless, Soros’s reputation served domestic political needs and was interpreted within a local cultural context, suggesting the value of a ‘sceptical’ perspective on globalization debates on how reputational attacks travel and are received.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.009
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 head0.019
GPT teacher head0.305
Teacher spread0.287 · 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