Human Drama, Animal Trials: What the Medieval Animal Trials Can Teach Us About Justice for Animals
Bibliographic record
Abstract
The legal system generally does little to protect animals, and one aspect of its inadequacy is a matter of formal structure: under United States and Canadian law, animals are not legal “persons” with an independent right to the protections of the legal system. There are calls to expand the status of animals in the law by providing them with legal standing, the right to be represented by a lawyer, and other formal protections. But, in a way, some of this has happened before. There is a long history, primarily from the medieval and early modern periods, of animals being tried for offenses such as attacking humans and destroying crops. These animals were formally prosecuted in elaborate trials that included counsel to represent their interests. The history of the animal trials demonstrates how, in a human-created legal system, legal “rights” for animals can be used for human purposes that have little to do with the interests of the animals. This history shows us that formal legal rights for animals are only tools, rather than an end in themselves, and highlights the importance not just of expanding formal protections, but of putting them to work with empathy, in a way that strives (despite the inevitable limitations of a human justice system in this respect) to incorporate the animals’ own interests and own point of view.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.050 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".