Bibliographic record
Abstract
We constantly hear about 'the consumer'. The 'consumer' has become a ubiquitous person in public discourse and academic research, but who is this person? The Making of the Consumer is the first interdisciplinary study that follows the evolution of the consumer in the modern world, ranging from imperial Britain to contemporary Papua New Guinea, and from the European Union to China. It makes a novel contribution by broadening the study of consumption from a focus on goods and symbols to the changing role and identity of consumers. Offering a historically informed picture of the rise of the consumer to its current prominence, authors discuss the consumer in relation to citizenship and ethics, law and economics, media, work and retailing. Contributors include: Donald Winch (University of Sussex) Frank Trentmann (Birkbeck College, University of London) Vanessa Taylor (Birkbeck College, University of London) Marie-Emmanuelle Chessel (CNRS: Centre de Recherches Historiques, École des Hautes Études en Sciences Sociales, Paris) Michelle Everson (Birkbeck College, University of London) Erika Rappaport (University of California, Santa Barbara) Uwe Spiekermann (Georg-August University, Göttingen) Jos Gamble (Royal Holloway University) Stephen Kline (Simon Fraser University, Vancouver, Canada) Frank Mort (University of Manchester) Ina Merkel (Philipps-Universität, Marburg, Germany) James G. Carrier (Indiana University and Oxford Brookes University) Ben Fine (SOAS: School of Oriental and African Studies, University of London)
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.027 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".