Studying Consumption Behaviour through Multiple Lenses: An Overview of Consumer Culture Theory
Bibliographic record
Abstract
Since Miller’s (1995) ground-breaking directive to the anthropology community to research consumption within the context of production, CCT has come of age, offering distinctive insights into the complexities of consumer behaviour. CCT positions itself at the nexus of disciplines as varied as anthropology, sociology, media studies, critical studies, and feminist studies; overlapping foci bring theoretical innovation to studies of human behaviours in the marketplace. In this paper, we provide asynthesis of CCT research since its inception, along with more recent publications. We follow the four thematic domains of research as devised by Arnould and Thompson (2005): consumer identity projects, marketplace cultures, the socio-historic patterning of consumption, and mass-mediated marketplace ideologies and consumers’ interpretive strategies. Additionally, we investigate new directions for future connections between CCT research and anthropology.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".