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Record W3015065416 · doi:10.1515/apeiron-2018-0035

Aristotle on Motion in Incomplete Animals

2020· article· en· W3015065416 on OpenAlexaff
Daniel Coren

Bibliographic record

VenueApeiron · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicClassical Philosophy and Thought
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSoulPhilosophyMotion (physics)Object (grammar)EpistemologySightPsychologyLinguisticsComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract I explain what Aristotle means when, after puzzling about the matter of motion in incomplete animals (those without sight, smell, hearing), he suggests in De Anima III 11.433b31–434a5 that just as incomplete animals are moved indeterminately, desire and phantasia are present in those animals, but present indeterminately. I argue that self-motion and its directing faculties in incomplete animals differ in degree but not in kind from those of complete animals. I examine how an object of desire differs for an incomplete animal. Using a comparison with Aristotle’s account of recollection, especially in unfavorable circumstances, I describe indeterminate self-motion. Finally, I discuss implications for our understanding of Aristotle’s accounts of the faculties of the soul and incomplete animals.

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 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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.824
Threshold uncertainty score1.000

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)0.0010.001

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.

Opus teacher head0.112
GPT teacher head0.229
Teacher spread0.116 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2020
Admission routes1
Has abstractyes

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