Bibliographic record
Abstract
<p>Robert Nozick’s oft-quoted review of Tom Regan’s <em>The Case for Animal Rights</em> levels a range of challenges to Regan’s philosophy. Many commentators have focussed on Nozick’s putative defence of speciesism, but this has led to them overlooking other aspects of the critique. In this paper, I draw attention to two. First is Nozick’s criticism of Regan’s <em>political</em> theory, which is best understood relative to Nozick’s libertarianism. Nozick’s challenge invites the possibility of a libertarian account of animal rights – which is not as oxymoronic as it may first sound. Second is Nozick’s criticism of Regan’s <em>axiological</em> theory, which is best understood relative to Nozick’s own axiological inegalitarianism. While Nozick’s axiology has distasteful consequences, it should not be dismissed out-of-hand. Nozick’s challenges to Regan – and Nozick’s wider animal ethics – are rich and original, warranting attention from contemporary theorists for reasons beyond mere historical interest. </p>
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".