(Certified) Humane Violence? Animal Welfare Labels, the Ambivalence of Humanizing the Inhumane, and What International Humanitarian Law Has to Do with It
Bibliographic record
Abstract
The contemporary human-animal relationship is highly ambivalent. It is characterized by both the exacerbating exploitative use of animals and a progressing moral concern for the life, dignity, and welfare of animals. With regard to the agricultural use of animals (which is the quantitatively most significant area of animal use and accounts for more than sixty billion land animals slaughtered globally each year), these two poles stand in particular contrast. On the one hand, agriculture has been increasingly industrialized and intensified over the course of the Twentieth Century. The modern system of industrialized animal production (or the “ animal-industrial complex ”) is marked by a high degree of rationalization, automatization, efficiency, mass production, and profitability, and has turned animals into mere production units—biomachines that convert feed into meat, milk, and eggs. On the other hand, the transformation of agriculture to industrialized animal production has raised grave ethical concerns, and societal discomfort at the systemic disregard for the welfare of farmed animals has grown. Most people cringe at the sight of footage showing the horrifying conditions prevailing in factory farms and slaughterhouses, and the vast majority of society subscribes to the basic moral principle that inflicting unnecessary pain and suffering on animals is wrong (a dictum also underlying the nearly universal prohibition of animal cruelty and which is so ingrained it could be considered a “rule of civilization,” as noted by the dissent in a Canadian appeal decision regarding an elephant in a city-run zoo).
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.037 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.010 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".