From the Ringstraße to Madison Avenue: Commercial Market Research and the Viennese Origins of the Mass-Culture Debate, 1941–61
Bibliographic record
Abstract
Paul Lazarsfeld's social research organizations, as centres for cosmopolitan refugees who pioneered communications studies, were instrumental in producing some of the most prominent mass-culture critics in the post-war US—both native and émigré—including C. Wright Mills, Leo Lowenthal, Theodor Adorno, and David Riesman. But among Lazarsfeld's fellow Viennese colleagues, perhaps the most prominent in the contemporary popular mind was Ernest Dichter, a psychological consultant to marketers who probed the unconscious of consumer subjects in an effort to reveal their hidden motivations. Dichter was not a critic of mass culture but rather a celebrant who was embraced by the American business class. He entered into the public sphere, however, as the subject of criticism in journalist Vance Packard's exposé The Hidden Persuaders. Lazarsfeld saw no essential contradiction between the critics of mass culture and its industrial purveyors; instead, he saw these forces existing in a dialectical relationship with one another. In this sense, it was no accident that his research institutes nurtured both cultural critics and the agents of industrial mass society.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.007 | 0.027 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".