Bibliographic record
Abstract
Although transformations in retailing are of tremendous current interest, there is no single broad-ranging account of the evolution of retailing formats. A Business History of Retail fills this gap, providing a chronological presentation of changes in retail businesses and shopping experiences from pre-industrial times to the present. Retailing is explored as both an economic and a cultural phenomenon, tracing retail strategies and business operations as they are reconfigured by retailers adapting to changing conditions, new technologies, government policies, and evolving markets. Relationships between the makers, sellers, and buyers of goods are shaped and reshaped as retailers, large and small, respond to competition and pursue new opportunities. Areas of continuity are identified even as businesses grow and strategies evolve. After four centuries there are more retailers selling more merchandise in more ways to more customers. The mass consumption of goods and services is central to American and Canadian history and understanding consumer society requires understanding retailing. Combining original research with recent scholarship in business and social history, cultural theory, and readings in current retail business strategy, this study provides a valuable resource for students and scholars in a wide range of fields and will appeal to general readers with an interest in retail, shopping, and consumerism.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.005 |
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".