Bibliographic record
Abstract
In this article, we situate the riot at the United States Capitol building on January 6, 2021, within the longer history of white-led race riots in the United States, as both state and vigilante actors have twisted the memory of that history toward maintaining an antidemocratic and racist status quo. Motivating such riotous eruptions is what we call reactive memory in reference to the formation of historical mythologies that valorize a “return” to a whitewashed past in response to perceived threats against socioracial domination in the present. We contribute to rhetoric and communication scholarship on memory and far-right nation-building by examining the mobilization of reactive memory in “1776” discourses and the rhetoric of extremist paramilitary groups. In doing so, we demonstrate how reactive memory is conjured to justify the right’s saturation in white supremacy and antidemocratic intervention, including and especially riotous violence – not because its adherents have no other rhetorical recourse in the political state of affairs, but because they situate political violence to be their historically sanctioned prerogative.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".