Bibliographic record
Abstract
This paper is divided into three sections. First, I describe the wide plurality of views on issues of animal ethics, showing that our disagreements here are deep and profound. This fact of reasonable pluralism about animal ethics presents a political problem. According to the dominant liberal tradition of political philosophy, it is impermissible for one faction of people to impose its values upon another faction of people who reasonably reject those values. Instead, we are obligated to justify our political actions to each other using reasons that everyone can accept. Thus, in the second section I suggest that our condition of reasonable pluralism inspires us to turn toward some form of contractarianism. The social contract tradition emerged precisely as an attempt to think about how a society characterized by deep moral disagreement could nonetheless agree about the basic principles of justice. I will show, in this section, that although the social contract tradition would seem to contain the best tools for thinking about how to deal with moral disagreement, it fails to help us think through the important issues of animal ethics. In the concluding section, I suggest some ways in which political philosophy might move beyond contractarianism when thinking about this issue, including embracing an agonistic style of politics.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".