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Record W2191134968 · doi:10.51291/2377-7478.1065

Animal sentience: The other-minds problem

2016· article· en· W2191134968 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

VenueAnimal Sentience · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsSentienceFeelingPsychologyReading (process)OperationalizationCognitionConsciousnessCognitive scienceEpistemologySocial psychologyPhilosophyLinguisticsNeuroscience

Abstract

fetched live from OpenAlex

The only feelings we can feel are our own. When it comes to the feelings of others, we can only infer them, based on their behavior — unless they tell us. This is the “other-minds problem.” Within our own species, thanks to language, this problem arises only for states in which people cannot speak (infancy, aphasia, sleep, anaesthesia, coma). Our species also has a uniquely powerful empathic or “mind-reading” capacity: We can (sometimes) perceive from the behavior of others when they are in states like our own. Our inferences have also been systematized and operationalized in biobehavioral science and supplemented by cognitive neuroimagery. Together, these make the other-minds problem within our own species a relatively minor one. But we cohabit the planet with other species, most of them very different from our own, and none of them able to talk. Inferring whether and what they feel is important not only for scientific but also for ethical reasons, because where feelings are felt, they can also be hurt. As animals are at long last beginning to be accorded legal status and protection as sentient beings, our new journal Animal Sentience, will be devoted to exploring in depth what, how and why organisms feel. Individual “target articles” (and sometimes précis of books) addressing different species’ sentient and cognitive capacities will each be accorded “open peer commentary,” consisting of multiple shorter articles, both invited and freely submitted ones, by specialists from many disciplines, each elaborating, applying, supplementing or criticizing the content of the target article, along with responses from the target author(s). The members of the nonhuman species under discussion will not be able to join in the conversation, but their spokesmen and advocates, the specialists who know them best, will. The inaugural issue launches with the all-important question (for fish) of whether fish can feel pain.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score0.439

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)0.0000.000

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 head0.018
GPT teacher head0.323
Teacher spread0.306 · 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