Unruly Beasts: Animal Citizens and the Threat of Tyranny
Bibliographic record
Abstract
Abstract Many commentators—including some animal rights theorists—have argued that non-human animals cannot be seen as members of the demos because they lack the critical capacities for self-rule and moral agency which are required for citizenship. We argue that this worry is based on mistaken ideas about both citizenship, on the one hand, and animals, on the other. Citizenship requires self-restraint and responsiveness to shared norms, but these capacities should not be understood in an unduly intellectualized or idealized way. Recent studies of moral behaviour show that civil relations between citizens are largely grounded, not in rational reflection and assent to moral propositions but in intuitive, unreflective and habituated behaviours which are themselves rooted in a range of pro-social emotions (empathy, love) and dispositions (co-operation, altruism, reciprocity, conflict resolution). Fifty years of ethological research have demonstrated that many social animals—particularly domesticated animals—share the sorts of dispositions and capacities underlying everyday civility. Once we broaden our conception of citizenship to include a richer account of the bases of civic relations, it becomes clear that domesticated animals and humans can be co-creators of a shared moral and political world. We have nothing to fear, and much to gain, by welcoming their membership in the demos.
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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 | 0.002 | 0.004 |
| 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 | 0.011 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".