Bibliographic record
Abstract
Purpose George Mortimer Pullman (1831-1897), nineteenth century US luxury rail car entrepreneur, divides opinion. Some commemorate Pullman as a brilliant industrialist, innovator and self-made man. Others view him as a loathsome robber baron, union buster, racist and affront to democracy. This paper aims to demonstrate Pullman’s significant contribution to marketing. Design/methodology/approach Historical accounts of Pullman are re-examined to highlight his company’s unique adaptation of numerous marketing techniques (consumer research, brand strategy, public relations, product launch, fashion cycle, advertising, product placement and customer service marketing). Findings Pullman’s distinct flair for understanding his market enabled him to develop marketing strategies intertwined with broader cultural changes in ideals and practices. Pullman’s construction of destination tourism met an expanding white middle class desire for recreation and escape from the economic and racial inequality of the city. Pullman’s creed that beauty acted as a civilizing agent spoke to the social norms of leisure class femininity. Constant release of ever-grander rail cars shaped a fashion cycle around which wealthy men’s status competition turned. Pullman pioneered the leasing of luxury to control his best asset: the service of black Porters’. Originality/value First, this paper provides a new perspective on George Pullman, a significant figure in US history. Second, it addresses a common bias in nineteenth century historical accounts that privilege the contribution of men, industrial labor and production and shadow the role of consumption, women and leisure. Third, it challenges the idea of a clean divide between industrial and post-industrial economies by tracing contemporary consumer culture practices to their nineteenth century roots (marketing, destination tourism, brand stories, democratization of fashion, tipping and service with a smile).
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 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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".