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Record W2129754589 · doi:10.18740/s45p56

Trade Unions in the Comfort Zone: Liberal Authority in Yeltsin’s Russia.

2009· article· en· W2129754589 on OpenAlexaffvenue
Norma Jo Baker

Bibliographic record

VenueSocialist studies · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsNipissing University
Fundersnot available
KeywordsAuthoritarianismPolitical economyElitePoliticsSocial PartnershipPolitical scienceTrade unionLiberal democracyDemocracySociologyLawEconomicsInternational trade

Abstract

fetched live from OpenAlex

While much has been written on the failure of the Yeltsin presidency and the transformation of Russian society since 1991, little work has been done that illustrates the participation of established liberal democracies in supporting Yeltsin’s authoritarian, politically unresponsive ‘superpresidentialism,’ or linking this support to the authoritarian nature of the modern liberal democratic project itself. By examining Russian trade union culture and history, as well as international trade union representative involvement, this paper argues that the persistent neglect of unions in the 1990s to challenge social relations of production can be understood as paradigmatic of an authoritarian dynamic focused on the political elite rather than on their membership. With international support, the regime’s concern was with the dismantling of Soviet economic relations and social institutions. Working from the culture and history of Russian trade unions, the unions’ efforts to retain a place in the new era through a strategy of ‘social partnership,’ combined with the collapse of the social welfare system, reinforced a top-down inertia characteristic of the unions. The result, predictably, was an era marked by a politics of irresponsibility, a political ethic is not indicative of an inherent Russian authoritarianism, but that of the authoritarian nature of the liberal modernity itself.

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)0.001
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: none
Teacher disagreement score0.796
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
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 head0.090
GPT teacher head0.433
Teacher spread0.343 · 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

Citations0
Published2009
Admission routes2
Has abstractyes

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