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Record W2121227792 · doi:10.1509/jmkg.67.3.19.18657

Teaching Old Brands New Tricks: Retro Branding and the Revival of Brand Meaning

2003· article· en· W2121227792 on OpenAlexaff
Stephen Brown, Robert V. Kozinets, John F. Sherry

Bibliographic record

VenueJournal of Marketing · 2003
Typearticle
Languageen
FieldPsychology
TopicNostalgia and Consumer Behavior
Canadian institutionsKellogg's (Canada)York University
Fundersnot available
KeywordsAntinomyArcadiaAdvertisingMeaning (existential)Brand managementElement (criminal law)RevelsSociologyBusinessAestheticsArtPolitical scienceEpistemologyLawPhilosophyLiterature

Abstract

fetched live from OpenAlex

Retro brands are relaunched historical brands with updated features. The authors conduct a “netnographic” analysis of two prominent retro brands, the Volkswagen New Beetle and Star Wars: Episode I—The Phantom Menace, that reveals the importance of Allegory (brand story), Aura (brand essence), Arcadia (idealized community), and Antinomy (brand paradox). Retro brand meanings are predicated on a utopian communal element and an enlivening paradoxical essence. Retro brand management involves an uneasy, cocreative, and occasionally clamorous alliance between producers and consumers.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.009
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.026
Scholarly communication0.0090.014
Open science0.0010.003
Research integrity0.0020.004
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 head0.018
GPT teacher head0.294
Teacher spread0.276 · 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

Citations132
Published2003
Admission routes1
Has abstractyes

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