Bibliographic record
Abstract
This article considers the phenomenon of being insensible to animal cruelty, and how such insensibility relates to human transgressions of the planet. I consider the visualization of animal culls that appeared upon the emergence of the coronavirus pandemic. The spectacular wasting of animal life, I argue, discloses the economic logic by which humanity secures itself as a sovereign species. Such a logic and its visuality are not only underpinned by a broader necropolitical paradigm, moreover, they co-constitute a primal scene that enables the liquidation of animal life to the point of extinction. Following the evolutionary biologist Rob Wallace, I consider animal culls in relation to the phenomenon of virus dumping, a systemic perturbation of forest ecologies preceded by the influx of capital in agricultural markets that results in the release and rapid evolution of viruses. I therefore recapitulate the relationship between animal cruelty and the economy of planet wasting that subtends it. In this vein, I consider how the visuality of animal cruelty is predicated on a banal violence. Yet, drawing from Hannah Arendt, I call for an ethics without authority, a version of the Sensus Communis by which we might witness cruelty from within the depths of planetary transgressions.
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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 | 0.001 | 0.002 |
| 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".