Lyons and Tygers and Wolves, Oh My! Human Equality and the “Dominion Covenant” in Locke’s <i>Two Treatises</i>
Bibliographic record
Abstract
This essay reads John Locke’s Two Treatises through its nonhuman animal presences, especially the emblematic figures of cattle and “noxious creatures” like “lyons,” “tygers,” and wolves. It argues that the real ground of Lockean human equality is an ongoing practice of subjugating nonhuman animals, and not any attribute of the human species as such. More specifically, the Lockean social compact founded on this equality relies on a “dominion covenant,” an existential “agreement” in which God lends the power of dominion to man and any threats to this order require punishment. This dynamic enables violence toward humans, in the name of their humanity, if they do not properly exert their power of dominion. Critics have connected Locke’s theory of property to indigenous dispossession and his theory of punishment to carceral systems; both processes, I argue, intimately rely on the dominion covenant. Lockean racism is the fulfillment of, and not a deviation from, his account of human equality.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.019 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".