Hannah Arendt, antiracist rebellion, and the counterinsurgent logic of the social
Bibliographic record
Abstract
Arendt’s concept of the social is at the heart of her interventions in racial politics in the United States. Readers of Arendt often focus on whether her distinction is too rigid to accommodate the reality of US racial politics, or whether it can be altered to be more capacious. The central issue here is that of closing the gap between conceptual abstraction and concrete reality. However, by extending our archive regarding the social and political beyond Arendt—to work in subaltern studies and the thought of Arendt’s radical Black contemporaries—I argue that we can craft a concept of the social as a counterinsurgent logic by which political acts are reduced to social disorder, neutralizing the political edge and novelty of revolt. The distinction between the social and political is therefore useful not to describe or categorize kinds of revolts or struggles but to critically examine the way they are interpretatively and concretely transformed from ‘political’ to ‘social’ struggles. Situating Arendt among contemporary revolutionaries such as James and Grace Lee Boggs, I argue that they mobilized such a distinction, asking not what rebellions were but what might be made of them.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.031 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".