Bibliographic record
Abstract
In Zoopolis, Donaldson and Kymlicka dismiss the abolitionist, or extinctionist approach in animal rights theory as insufficient in its theoretical foundation and disproportional regarding the means it promotes to prevent domesticated animals from suffering abuse by humans. Among the consequences of their counterproposal—granting domesticated animals citizenship—is an increased pressure to justify any interference with domesticated animals’ reproductive activities. This paper attempts to give such justification with reference to domesticated animals’ specific state of vulnerability, but also takes into account the interest of the mixed society to prevent overly demanding obligations. Even while recognizing existing domesticated animals as citizens, humans might be unable to fully meet their obligation to protect the most dependent of them, and therefore might be justified in conditionally subscribing to “extinctionism” and limiting these animals’ reproduction to the point of their ultimate extinction. Therefore, rather than upholding a strict opposition between extinctionism in any form and a political framework for animal rights, out of reasonable concern for the well-being of domesticated animals in the societies they have been placed in, a qualified extinctionist approach should be incorporated into the political framework developed in Zoopolis.
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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 | 0.010 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.044 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.006 | 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".