Bibliographic record
Abstract
In his discussion of natural slavery in the first book of the Politics (1254a17–1254b39), Aristotle notoriously assimilates human slaves to non-human animals. Natural slaves, Aristotle maintains (1254b16–20), are those who differ from others in the way that the body differs from the soul, or in the way that an animal differs from a human being; and into this category fall ‘all whose function is bodily service, and who produce their best when they supply such service’. The point is made more explicit in the argument (1254b20–4) that the capacity to be owned as property and the inability fully to participate in reason are defining characteristics of the natural slave: ‘Other animals do not apprehend reason but obey their instincts. Even so there is little divergence in the way they are used; both of them (slaves and tame animals) provide bodily assistance in satisfying essential needs’ (1254b24–6). Slaves and animals are not actually equated in Aristotle's views, but the inclination of the slave-owner in classical antiquity, or at least a representative of the slave-owning classes, to associate the slave with the animal is made evident enough. It appears again in Aristotle's later statement (1256b22–6) that the slave was as appropriate a target of hunting as the wild animal.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.045 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 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".