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Record W3047043540 · doi:10.7202/1070270ar

Cultural Capital as Performance

2020· article· en· W3047043540 on OpenAlexvenueno aff
Alexandra Dane

Bibliographic record

VenueMémoires du livre · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsCasualInstitutionThe artsCultural capitalCultural institutionCapital (architecture)PoliticsSociologyCultural heritageHistoryMedia studiesVisual artsArtSocial scienceLawPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

The canvas tote bag, often branded with the name and logo of a popular cultural institution or bookstore, has become a shorthand for an individual’s accumulated cultural capital; this seemingly innocuous accessory has the power to signal to one’s peers the level of their engagement with the cultural and creative industries in a seemingly casual but deeply coded manner. The literary festival presents the perfect opportunity for individuals to signal to those around them that they, for example, subscribe to the New Yorker or donate money to the V&A museum. This article presents the findings of an observational study conducted at four literary festivals in Australia, the United Kingdom and the United States. Four distinct categories emerged from this analysis of tote bags carried at literary festivals: the festival tote that is sold at the festival; totes associated with cultural institutions; totes with political, satirical or ironic slogans; totes that are not associated with any particular arts or cultural brand or institution. I argue that, especially where the first three categories are concerned, the tote bags carried at literary festivals are consciously chosen for the purpose of signalling one’s cultural capital.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.805
Threshold uncertainty score0.929

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.020
GPT teacher head0.262
Teacher spread0.242 · 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 designNot applicable
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

Citations7
Published2020
Admission routes1
Has abstractyes

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