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Record W2151088719 · doi:10.1086/666595

Taste Regimes and Market-Mediated Practice

2012· article· en· W2151088719 on OpenAlexaff
Zeynep Arsel, Jonathan Bean

Bibliographic record

VenueJournal of Consumer Research · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsConcordia University
Fundersnot available
KeywordsTastePsychologyMarketingBusiness

Abstract

fetched live from OpenAlex

Taste has been conceptualized as a boundary-making mechanism, yet there is limited theory on how it enters into daily practice. In this article, the authors develop a practice-based framework of taste through qualitative and quantitative analysis of a popular home design blog, interviews with blog participants, and participant observation. First, a taste regime is defined as a discursively constructed normative system that orchestrates practice in an aesthetically oriented culture of consumption. Taste regimes are perpetuated by marketplace institutions such as magazines, websites, and transmedia brands. Second, the authors show how a taste regime regulates practice through continuous engagement. By integrating three dispersed practices—problematization, ritualization, and instrumentalization—a taste regime shapes preferences for objects, the doings performed with objects, and what meanings are associated with objects. This study demonstrates how aesthetics is linked to practical knowledge and becomes materialized through everyday consumption.

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)0.005
metaresearch head score (Gemma)0.008
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 score0.007
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.035
Scholarly communication0.0070.006
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.112
GPT teacher head0.354
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 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

Citations399
Published2012
Admission routes1
Has abstractyes

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