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Record W2755130001 · doi:10.1093/jcr/ucx100

Creating a Consumable Past: How Memory Making Shapes Marketization

2017· article· en· W2755130001 on OpenAlex

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

VenueJournal of Consumer Research · 2017
Typearticle
Languageen
FieldPsychology
TopicNostalgia and Consumer Behavior
Canadian institutionsYork University
Fundersnot available
KeywordsMarketizationHegemonyCapitalismRedressSocialismConsumption (sociology)State socialismPolitical economySociologyEconomic systemAcquiescencePoliticsCommunismEconomicsMarket economyPolitical scienceSocial scienceChinaLaw

Abstract

fetched live from OpenAlex

Abstract Consumer researchers tend to equate successful marketization—the transition from a socialist to a capitalist economy—with the consensual acquiescence to an idealized definition of the socialist past. For this reason, little research has examined how memories about socialism influence marketization over time. To redress this gap, we bring prior consumer research on commercial mythmaking and popular memory to bear on an in-depth analysis of the marketization of the former German Democratic Republic. We find that, owing to a progressive sequence of conflicts between commercialized memories of socialism promoted by marketing agents and countermemories advocating socialism as a political alternative, definitions of the past, and by extension, capitalism’s hegemony are subject to ongoing contestation and change. Our theoretical framework of hegemonic memory making explains relationships among consumption, memory making, and market systems that have not been recognized by prior research on consumption and nostalgia.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.309
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.160
GPT teacher head0.468
Teacher spread0.308 · 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