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Record W1573833042 · doi:10.22329/p.v2i2.396

Faces and the Invisible of the Visible: Toward an Animal Ontology

2007· article· en· W1573833042 on OpenAlexvenueno aff
David Morris

Bibliographic record

VenuePhaenEx · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicVisual Culture and Art Theory
Canadian institutionsnot available
Fundersnot available
KeywordsOntologyAnalogyPerceptionFace (sociological concept)Philosophy of logicEpistemologyCognitive scienceRelation (database)PhilosophyComputer sciencePsychologyLinguistics

Abstract

fetched live from OpenAlex

This paper studies the role of faces in animal life to gain insight into Merleau-Ponty’s philosophy, especially his later ontology. The relation between animal faces and moving, animal bodies involves a peculiar, expressive logic. This logic echoes the physiognomic structure of perception that Merleau-Ponty detects in his earlier philosophy, and exemplifies and clarifies a logic elemental to his later ontology, especially to his concept of an invisible that is of (endogenous to) the visible. The question why the logic of the face can manifest this analogy or homology with the logic of perception and ontology is treated through a study of embryology, which suggests that the logic of the face ramifies a deeper logic of being. Methodologically, the face is taken as something like a lens into the onto-logic of being. This lens suggests that what underlies Merleau-Ponty’s later ontology is a logic of animality.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.030
Scholarly communication0.0060.010
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.045
GPT teacher head0.287
Teacher spread0.242 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2007
Admission routes1
Has abstractyes

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