Bibliographic record
Abstract
The Montreal Declaration on Animal Exploitation, which has been endorsed by hundreds of influential academic ethicists, calls for establishing a vegan economy by banning what it refers to as all unnecessary animal suffering, including fishing. It does so by appeal to the moral principle of equal consideration of comparable interests. I argue that this principle is misapplied by discounting morally relevant cognitive capacities of self-conscious and volitional personhood as distinguished from merely sentient non-personhood. I describe it as a kind of anthropomorphizing moralism which I call anthropomoralism, defined as the tendency to project morally relevant characteristics of personhood onto merely sentient non-persons by discounting their existing differences with actual persons. I show that this attitude can lend support to the resurgent attempt to treat fetal pain as equally morally considerable to that of childbearing persons they gestate within. I explain that the only sound way to apply the principle of equal consideration of comparable interests is to compare experiences of actual persons. Therefore, while supporting a vegan economy may be morally praiseworthy, it should not be deemed morally obligatory.
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 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 | 0.009 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.051 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.008 |
| 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".