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Record W2022946483 · doi:10.1108/13522751011032610

Modeling in branding: a critical ethnography approach

2010· article· en· W2022946483 on OpenAlexaff
Ayman El‐Amir, Steve Burt

Bibliographic record

VenueQualitative Market Research An International Journal · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsTrent University
Fundersnot available
KeywordsDialecticEthnographyReflexivitySociologyParticipant observationInterdependenceObjectificationEpistemologyOriginalityProcess (computing)CriticismCommodificationKnowledge managementQualitative researchComputer scienceSocial sciencePolitical scienceAnthropologyEconomics

Abstract

fetched live from OpenAlex

Purpose This paper aims to shed light on the potential of ethnography to provide a dialectical approach to modeling the process of branding as its focus widens from managerial to social. Design/methodology/approach A critical approach to ethnography is adopted and implemented in light of the French sociologist Pierre Bourdieu's ethnographic modeling technique of “participant objectification”. Findings The paper demonstrates from the customer standpoint, of a case of a grocery retailer, the ability of critical ethnography to dialectically model the branding process as an organic cultural whole, which envelops an intricate set of different, yet interdependent, social and managerial systems, functioning in a coherent and complementary manner. Research limitations/implications The empirical evidence is limited to the area of grocery retailing. Thus, widening the application of the technique in other areas would be desirable. Practical implications The dialectical nature of the critical approach to modeling yields a rich multi‐faceted view of the branding process that could help remedy the problem of detachment from complex reality, which has often been a criticism of traditional approaches to modeling in marketing. Originality/value The suggested dialectical approach to modeling expands the potential use of ethnography within the critical orientation to theory building in marketing generally, and branding in particular through elaborating the process of cultural construction from textual via participant observation to dialectical via participant objectification.

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)0.012
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Research integrity, Insufficient payload (model declined to judge)
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 score0.529
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.250
GPT teacher head0.486
Teacher spread0.236 · 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.

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

Citations14
Published2010
Admission routes1
Has abstractyes

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