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Capacities, Context and the Moral Status of Animals

2004· article· en· W2078117039 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

VenueJournal of Applied Philosophy · 2004
Typearticle
Languageen
FieldNeuroscience
TopicPsychology of Moral and Emotional Judgment
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsIntuitionIntellectEpistemologySocial psychologyContext (archaeology)PsychologySociologyEnvironmental ethicsPhilosophy

Abstract

fetched live from OpenAlex

According to a widely shared intuition, normal adult humans require greater moral concern than normal, adult animals in at least some circumstances. Even the most steadfast defenders of animals' moral status attempt to accommodate this intuition, often by holding that humans' higher-level capacities (intellect, linguistic ability, and so on) give rise to a greater number of interests, and thus the likelihood of greater satisfaction, thereby making their lives more valuable. However, the moves from capacities to interests, and from interests to the likelihood of satisfaction, have up to now gone unexamined and undefended. I argue that context plays a morally significant role both in the formation of an individual's capacities, and in the determination of the individual's interests and potential for satisfaction based on those capacities. Claims about an individual's capacities and interests are typically presented as unconditional; but on closer examination, they are revealed to be contingent on tacit assumptions about context. Until we develop an understanding of how to account for the role of context within our moral theories, attempts to defend special moral concern for human beings based on their superior capacities are less firmly grounded than is commonly thought.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.335

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.089
GPT teacher head0.260
Teacher spread0.171 · 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