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Record W2128008370 · doi:10.1177/0276146709334298

The Institutional Foundations of Materialism in Western Societies

2009· article· en· W2128008370 on OpenAlexaff
William E. Kilbourne, Michael J. Dorsch, Pierre McDonagh, Bertrand Urien, Andrea Prothero, Marko Grünhagen, Michael Jay Polonsky, David Marshall, Janice Foley, Alan Bradshaw

Bibliographic record

VenueJournal of Macromarketing · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsMaterialismSociologyConsumption (sociology)Positive economicsSocial sciencePoliticsEnvironmental ethicsSocial psychologyEpistemologyPolitical scienceEconomicsPsychologyLaw

Abstract

fetched live from OpenAlex

Studies of materialism have increased in recent years, and most of these studies examine various aspects of materialism including its individual or social consequences. However, understanding, and possibly shaping, a society’s materialistic tendencies requires a more complete study of the relationship between a society’s institutional patterns and the acceptance of materialism by its members. Consequently, the current study examines five of the institutional antecedents of materialism to understand better how and why it develops as a mode of consumption within a society. More specifically, a model relating materialism and a set of institutionalized patterns of social behavior referred to as the dominant social paradigm was developed and tested in a study of seven industrial, market-based countries. The results suggest that the economic, technological, political, anthropocentric, and competition institutions making up the dominant social paradigm are all positively related to materialism. The implications of the relationship are then discussed.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.024
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0000.001
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 head0.023
GPT teacher head0.270
Teacher spread0.247 · 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 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

Citations74
Published2009
Admission routes1
Has abstractyes

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