Animal, Abolition, Property: Animal Oppression and Racial Capitalism
Bibliographic record
Abstract
This project brings together concerns over the property-status of animals found in animal studies and animal liberation politics with the movement to abolish prisons and the police that animates Black radical politics. These two strains of thought approach the question of the human in different ways but converge on the necessity of challenging our dominant conceptions of the human as a property-owning subject. Drawing on these two trenchant critiques of property, Animal, Abolition, Property develops an abolitionist politics committed to anti-anthropocentric critique by developing a theory of animal exploitation that sees such exploitation as central to the histories and presents of racial capitalism. The project thinks together a Marxist emphasis on capitalism with a focus on the policing of life found in biopolitical critique. It further enables a way to think beyond Blackness and animality as measures for the other’s abjection and instead stages a dialogue through a critique of the property-form. The project reads the intertwined histories of animal exploitation and racial capitalism from the formation of capitalism as periodized by Marxist historiography within a history of capital’s drive to accumulate animal life ranging from the colonial fur trade to contemporary modes of extracting value from animal life. I draw on the resources of both animal studies and Black Marxist thought to stage this account of capitalism and explore the limits of Marxist theory. The project further thinks about policing as an expansive concept that runs through capitalism’s history and ensures the ability of a given social formation to reproduce itself. The project reads the liberal politics of recognition and suffering and then of pandemic management as political thematics that stitch together questions over racialization, the human, animality, capital accumulation, and violence. It ultimately concludes with thinking about alternatives to the present that engage the promise of multispecies democracy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.033 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".