Agents Provocateurs: State Infiltration in BlacKkKlansman and the Greensboro Massacre
Bibliographic record
Abstract
In 2018, director Boots Riley posted a short, but scathing critique of the film BlacKkKlansman to his Twitter. His criticism emanates mostly from the film’s portrayal of the real-life police detective Ron Stallworth as a hero and its numerous omissions regarding Stallworth’s infiltration of Leftist groups. Much of Riley’s commentary focuses on the film’s failure to account for the police as a foundational aspect of everyday white supremacy, but his essay also speak to the consistent use of white nationalist forces by the State to suppress Leftist and Black radical activism. This paper uses both the film and memoir BlacKkKlansman, as well as Riley’s critique, to frame an analysis of the Klan as a synergistic form of State, white nationalist, and anticommunist repression against a broad spectrum of Leftist activism. Beyond Stallworth, I focus on the Greensboro Massacre of 1979, in which Klansmen and Neo-Nazis murdered five Communist Worker’s Party organizers. The events in Greensboro prove a far more representative example of the true nature of police infiltration of radical groups than those presented in BlacKkKlansman. I argue that despite the popular belief that the Klan and Communist groups constitute the disavowed fringes of American society, the State has routinely provided a space for the Klan’s existence while it has simultaneously persecuted, villainized, and criminalized American Communists and Black radicals. This is borne out by the fact that there has rarely, if ever, been a point where the violence of the Klan has not been favored by law enforcement and government officials over the activism of the Klan’s radical adversaries.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.019 | 0.013 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".