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Subcultures

2010· other· en· W4210419674 on OpenAlexaff
Robert V. Kozinets

Bibliographic record

VenueWiley International Encyclopedia of Marketing · 2010
Typeother
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsYork University
Fundersnot available
KeywordsSubculture (biology)Consumption (sociology)EntertainmentAdvertisingSociologyVariety (cybernetics)Consumer CulturePhenomenonMarketingBusinessSocial sciencePolitical scienceLawEpistemologyComputer science

Abstract

fetched live from OpenAlex

Abstract Contemporary consumer culture consists of subcultures that provide meanings and practices that significantly structure the identities, relationships, and behaviors of consumers. These subcultures are closely related to countercultures and often serve as the source of countercultural images and identities. Their countercultural images and identities are often absorbed by the advertising, entertainment, and marketing industries, and eventually become popularized. In consumer research or consumer cultural studies, subcultures have been related to a variety of different consumption activities. The use of the term subculture has been criticized as overly deviant, ambiguous, and overextended; however, many consumer researchers still find the concept useful. A number of related concepts have been developed, such as subcultures of consumption, communities of consumption, brand communities, and microcultures. The term deals with an ambiguous, dynamic, and important social phenomenon. It is also linked to important bases of literature. As long as lifestyle, differentiation, self‐transformation, and small group identities continue to be important aspects of contemporary consumer culture, the concept of subcultures will continue to be both needed and useful.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.275
Threshold uncertainty score0.726

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)0.2750.000

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 head0.009
GPT teacher head0.210
Teacher spread0.201 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2010
Admission routes1
Has abstractyes

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