The propaganda society : promotional culture and politics in global context
Bibliographic record
Abstract
Contents: Graham Murdock: Preface - Gerald Sussman: Introduction: The Propaganda Society - Robert W. McChesney/Inger L. Stole/John Bellamy Foster/Hannah Holleman: Advertising and the Genius of Commercial Propaganda - Doris Baltruschat: Branded Entertainment and the New Media Economy - Matthew P. McAllister: Very High Art: The Cultural Enhancement of Product Promotion in Making-of Videos about Advertising Campaigns - Tim Dwyer: Net Worth: Popular Social Networks as Colossal Marketing Machines - Massimo Ragnedda/Glenn W. Muschert: The Regime of Propaganda in a Neoliberal State: Berlusconi and the Italian Media - Sharon Beder: Corporate Discourse on Climate Change - Inger L. Stole: Cause Marketing as Commercial Propaganda: Neoliberal Wolf in Sheep's Clothing? - Michael Barker: Celebrity Philanthropy: In the Service of Corporate Propaganda - Robert Jensen: Pornography as Propaganda - Douglas Kellner: War Correspondents, the Military, and Propaganda: Some Critical Reflections - Edward Herman/David Peterson: Legitimizing Versus Delegitimizing Elections: Honduras and Iran - Lee Artz: The New Rhetoric of the Global War on Terrorism - Sue Curry Jansen: International Public Relations: Neoliberal Fixer and Diplomat Without Portfolio - Aeron Davis: Promotion, Propaganda, and High Finance - James F. Tracy: Covering Workers: News Media, Labor, and the 2008 Economic Crisis - Dominic Wring: Telling It Like It Is: The Focus Group as an Ideological Weapon - Patricia Mazepa: Direct from the Source: Canada's Integrated System of State Propaganda - Gerald Sussman: Epilogue.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.043 | 0.008 |
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".