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Record W3016237943 · doi:10.1017/s0953820820000060

The Vegan's Dilemma

2020· article· en· W3016237943 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueUtilitas · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicAgriculture Sustainability and Environmental Impact
Canadian institutionsKensington Health
Fundersnot available
KeywordsHarmDilemmaArgument (complex analysis)French hornEnvironmental ethicsLaw and economicsAnimal ethicsPolitical scienceSociologyLawPhilosophyEpistemologyBiology

Abstract

fetched live from OpenAlex

Abstract A common and convincing argument for the moral requirement of veganism is based on the widespread, severe, and unnecessary harm done to animals, the environment, and humans by the practices of animal agriculture. If this harm footprint argument succeeds in showing that producing and consuming animal products is morally impermissible, then parallel harm footprint arguments show that a vast array of modern practices are impermissible. On this first horn of the dilemma, by engaging in these practices, vegans are living immorally by their own lights. This first horn can be avoided by assuming that morality requires not minimizing harm, but only keeping the harm of our actions within some budget. On the second horn, however, we recognize that there are many ways of keeping our harm footprints within budget other than through our dietary choices. On the second horn of the vegan's dilemma, therefore, veganism is not a moral requirement.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.208
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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.

Opus teacher head0.008
GPT teacher head0.185
Teacher spread0.178 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it