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Record W2587761821 · doi:10.1017/s003767790002458x

The Epoch of Magna: Capitalist Brands and Postsocialist Revolutions in Georgia

2009· article· en· W2587761821 on OpenAlexaff
Paul Manning

Bibliographic record

VenueSlavic Review · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicPost-Communist Economic and Political Transition
Canadian institutionsTrent University
Fundersnot available
KeywordsSymbol (formal)SocialismHistoryPeriod (music)SociologyConsumption (sociology)ApartmentEconomyCommunismEconomic historySocial sciencePolitical scienceAestheticsEconomicsLawArtPoliticsPhilosophy

Abstract

fetched live from OpenAlex

In this article, Paul Manning explores the metaphoric and metonymic valuations of western brands as symbols of revolutionary change during the recent Rose Revolution and especially during the transition of the early 1990s in Georgia. Using an ethnographic reading of a Georgian novel about the early 1990s,The Dogs of Paliashvili Streetby Aka Morchiladze, Manning examines in detail how a single ubiquitous western brand of cigarettes, Magna—often deployed in opposition to local socialist brands like Kolkheti (“brand totemism“)—came to stand metaphorically as a “meta-symbol” for the period of the transition in Georgia as a whole, “the Epoch of Magna.” At the same time, the new capitalist conditions of consumption and the proliferation of western brands of cigarettes made differences between brands into metonymic resources for indexing emergent forms of social differentiation and transformed certain brands, like Marlboro, into indexes of the general collapse of public urban order after socialism (“brand fetishism”).

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.005
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.339
Teacher spread0.325 · 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 designQualitative
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

Citations38
Published2009
Admission routes1
Has abstractyes

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