The avengers of citizenship studies: Ida B. Wells and Frantz Fanon
Bibliographic record
Abstract
Enslavement and citizenship are entangled in colonial modernity’s global racial capitalist projects. While critical work on citizenship has highlighted the unfreedoms grounding modern projects, studies have not looked at the ideas of the avengers, those supposedly unfit for history and politics, and how they draw our attention to the persistence of black violence. For them, the projects of modern citizenship are neither liberating nor progressive. Drawing on the Haitian Revolution, and in conversation with Ida B. Wells, and Frantz Fanon, I argue citizenship studies can benefit from thinking about the collapsing of emancipation with national-civic racial justice from the vantage point of enslavement, genocide, colonization, and their transfigurations into imperial and national racial capitalist projects. I conclude with the ways Fanon allows me to expand the notion of black avenger through the idea of the wretched and invention, beyond citizenship and towards the possibility of a differently composed world and humanity.
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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.023 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".