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Record W3123303565

When Politics Froze Fashion: The Effect of the Cultural Revolution on Naming in Beijing

2014· article· en· W3123303565 on OpenAlexaff
Elena Obukhova, Ezra W. Zuckerman, Jiayin Zhang

Bibliographic record

VenueDSpace@MIT (Massachusetts Institute of Technology) · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsMcGill University
FundersUniversity of Chicago
KeywordsPoliticsIdeologyConformityAuthoritarianismBeijingPopularityLimitingExpression (computer science)Political economyPositive economicsSociologyPolitical scienceSocial psychologyLawPsychologyDemocracyEconomics
DOInot available

Abstract

fetched live from OpenAlex

The authors examine the popularity of boys’ given names in Beijing before and after the onset of the Cultural Revolution to clarify how exogenous and endogenous factors interact to shape fashion. Whereas recent work in the sociology of culture emphasizes the importance of endogenous processes in explaining fashion, their analysis demonstrates two ways in which politics shaped cultural expression during the Cultural Revolution: by promoting forms of expression reflecting prevailing political ideology and by limiting individuals’ willingness to act differently. As argued by Lieberson and developed further in this article, the second condition is important because endogenous fashion cycles require a critical mass of individuals who seek to differentiate themselves from common practice. Exogenous factors can influence the operation of the endogenous factors. The authors discuss the implications of their study for understanding the nature of conformity under authoritarian regimes and social conditions supporting individual expression.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.957
Threshold uncertainty score0.524

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.227
Teacher spread0.213 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2014
Admission routes1
Has abstractyes

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Same venueDSpace@MIT (Massachusetts Institute of Technology)Same topicFashion and Cultural TextilesFrench-language works237,207