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Record W2522379768 · doi:10.5539/ijms.v8n5p15

A Critical Look at “Marketing, Consumption, and Society” by Anti-Consumerists: A Qualitative and Interdisciplinary Model of Anti-Consumerism

2016· article· en· W2522379768 on OpenAlexvenueno aff
Emre Başcı

Bibliographic record

VenueInternational Journal of Marketing Studies · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsnot available
Fundersnot available
KeywordsConsumerismIdeologyConsumption (sociology)SociologyTeleologyTurkishMacroQualitative researchGrounded theoryConsumer behaviourMarketingPsychologySocial psychologyEpistemologySocial scienceBusinessPolitical sciencePhilosophyLawComputer science

Abstract

fetched live from OpenAlex

<p>The main purpose of the article is to provide the literature of anti-consumerism with a model, as well as a fresh definition of anti-consumption, based on the research findings. The study utilizes the grounded theory methodology developed by Glaser & Strauss (1967) and the causative, teleological, and behavioral nature of anti-consumerism are presented with the qualitative model. The findings show that there are no noticeable differences among Turkish anti-consumerists in terms of philosophy, values, and ideology. However, it was observed that individuals display different amounts of anti-consumerist behavior in varying degrees of intensity. When the reasons for anti-consumption are examined, it has been found that these reasons can be divided into three kinds—personal, social, and societal. Another finding is that the anti-consumerist transformation conforms to the development tasks described by Havighurst (1972). Young individuals trying to fit in with the dynamics of the social group also try to find their own unique identities with teachings and awareness on macro and micro scales, eventually turning into anti-consumerists.</p>

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score0.646

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.045
GPT teacher head0.362
Teacher spread0.318 · 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 designObservational
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

Citations6
Published2016
Admission routes1
Has abstractyes

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