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Record W3119211462 · doi:10.1108/aam-11-2020-0048

The artification of wine: lessons from the fine wines of Bordeaux and Burgundy

2021· article· en· W3119211462 on OpenAlexaff
Annamma Joy, Kathryn A. LaTour, Steve John Charters, Bianca Grohmann, Camilo Peña

Bibliographic record

VenueArts and the Market · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsConcordia UniversityUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsTerroirWineViewpointsOriginalityValue (mathematics)SociologyArtVisual artsSocial scienceComputer scienceQualitative research

Abstract

fetched live from OpenAlex

Purpose In this paper, the authors argue that fine wines can be considered art and as such can be awarded luxury status. The authors discuss the processes of artification, through which such wines are recognized as art (Shapiro and Heinich, 2012), and heritagization, in which the cultural differentiation implicit in the concept of terroir (the various elements of a microclimate that contribute to a wine's specific attributes) connects a wine to its history and provenance. The investigation focuses specifically on fine wines from Bordeaux and Burgundy, which are renowned worldwide for their depth and flavors. What traits are intrinsic to the definition of art, and what social processes culminate in transforming an entity from nonart to art? Design/methodology/approach It is a conceptual paper that requires blending several viewpoints to present the authors’ own viewpoints. Findings This study aims to address the above questions and argues that fine wines, as a source of aesthetic pleasure, are themselves an art form. Research limitations/implications The implications for producers of fine wines and other artisanal products seeking to elevate brand awareness are discussed. Practical implications The findings of this study are of interest to wine scholars as well as wineries. They provide evidence as to how artification occurs. Originality/value While there are papers that address the issue of artification and heritagization individually, the authors bring to bear the importance of both concepts on specific wine regions in France: Burgundy and Bordeaux.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score0.183

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.226
Teacher spread0.208 · 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

Citations10
Published2021
Admission routes1
Has abstractyes

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