The Marketing of Rebellion: Insurgents, Media and International Activism
Bibliographic record
Abstract
The Marketing of Rebellion: Insurgents, Media and International Activism. By Clifford Bob. Cambridge: Cambridge University Press, 2005. 237p. $70.00 cloth, $24.99 paper. Clifford Bob seeks to understand why some rebels receive more attention and support from the international community than others. Rather than arguing that some groups are inherently more deserving, Bob takes a novel and very insightful perspective on the international relations of contention by applying the dynamics of marketing. “Despite its promise, today's ‘global civil society’ is for many a Darwinian arena in which the successful prosper but the weak wither” (p. 8). His answer focuses on how well groups market themselves in a competitive realm where large numbers of movements are seeking support from nongovernmental organizations with limited resources. He focuses on this key inequality—that the rebels around the world need help from the NGOs far more than any NGO needs to support any one group of dissidents—insisting that it is a buyer's market.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.017 |
| Scholarly communication | 0.014 | 0.013 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 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".