Disaster Capitalism and the Quick, Quick, Slow Unravelling of Animal Life
Bibliographic record
Abstract
Abstract Sea otters have barely survived centuries of colonial and capitalist development. To understand why, I examine how they have been oriented in capitalist social relations in Alaska, and with what effects. I follow sea otters through three overlapping political economic episodes, each of which shapes the next: colonial expansion and the fur trade; petro‐capitalism and the negligent neoliberal state, culminating in the 1989Exxon Valdezoil spill; and finally, spill cleanup and “green” capitalism, when sea otters are produced as data points and spectacle. In each episode, I describe (1) sea otters’ orientation in relation to capitalism and the state, and (2) the nature and temporality of violence and ecological loss that attends their orientation. In conversation with theorisations of extinction as a “slow unravelling”, I suggest animal life can unravel less slowly than haltingly—quick, quick, slow—and that the unravelling and animals’ orientation in capitalism are co‐constituted.
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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 | 0.000 |
| Science and technology studies | 0.004 | 0.034 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 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".